File size: 72,676 Bytes
5f694cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 | """
Enhanced Example Sentence Generator
------------------------------------------
A sophisticated approach to generating diverse, natural example sentences
"""
import requests
import os
import random
import re
import time
import json
from functools import lru_cache
class ExampleSentenceGenerator:
def __init__(self, translate_func=None, debug=False):
"""Initialize the generator with a multi-stage filter pipeline and diverse templates."""
print("\n>>> ENHANCED SENTENCE GENERATOR LOADED <<<\n")
self.translate_func = translate_func
self.debug = debug # Set to True to see detailed rejection reasons
self.setup_cache_dir()
self._initialize_templates()
self.recent_templates = {} # Store recently used templates to avoid repetition
self.max_recent_templates = 10 # How many recent templates to remember per category
def setup_cache_dir(self):
"""Create cache directory if it doesn't exist."""
self.cache_dir = "sentence_cache"
os.makedirs(self.cache_dir, exist_ok=True)
def _initialize_templates(self):
"""Initialize extensive template library with varied sentence structures."""
# CORE TEMPLATES
# NOUN TEMPLATES - Basic, Intermediate, Advanced
self.templates = {
# NOUN TEMPLATES - Various complexity levels and contexts
"noun": {
"basic": [
"The {word} is on the table.",
"I can see a {word} in the room.",
"She bought a new {word} yesterday.",
"This {word} is very useful.",
"Do you have a {word}?",
"Where is my {word}?",
"I need to buy a {word}.",
"That {word} belongs to me.",
"His {word} is very old.",
"Can I borrow your {word}?"
],
"intermediate": [
"I've been looking for a {word} like this for months.",
"She inherited an antique {word} from her grandmother.",
"The {word} was displayed prominently in the center of the room.",
"My brother accidentally broke my favorite {word} last week.",
"We should consider getting a different {word} for this purpose.",
"They sell handmade {word}s at that store downtown.",
"The museum has a rare {word} from the 16th century.",
"I'm thinking about replacing my {word} soon.",
"That {word} reminds me of my childhood home.",
"Would you mind passing me that {word} on the shelf?"
],
"advanced": [
"The antique {word} that I found at the flea market turned out to be quite valuable.",
"She explained that the unusual {word} had been in her family for generations.",
"Despite its age, the {word} functions perfectly after the restoration.",
"The artist incorporated a {word} into his latest sculpture, giving it an unexpected twist.",
"After searching through numerous stores, I finally found a {word} that matched my requirements.",
"The {word} caught my attention because of its unique design and craftsmanship.",
"They discussed replacing the old {word} with something more modern and practical.",
"I was surprised to discover that the {word} was actually made in my hometown.",
"The {word} would be perfect for our new apartment, if only it weren't so expensive.",
"When traveling abroad, he always brings back a traditional {word} as a souvenir."
]
},
# CLOTHING TEMPLATES - With proper context for clothing items
"clothing": {
"basic": [
"I like your {word}.",
"This {word} is too small.",
"She bought a new {word}.",
"The {word} is blue.",
"Can I borrow your {word}?",
"I need a warm {word}.",
"That {word} looks great on you.",
"My {word} is too big.",
"Where did you get that {word}?",
"He lost his favorite {word}."
],
"intermediate": [
"She wore her favorite {word} to the dinner party last night.",
"This {word} would look perfect with your new jeans.",
"I bought this {word} on sale last weekend.",
"The designer creates unique {word}s for celebrities.",
"I need to iron my {word} before the interview tomorrow.",
"This {word} is made of high-quality cotton.",
"That {word} really brings out the color of your eyes.",
"He spilled coffee on his new {word} this morning.",
"My mother gave me this {word} for my birthday.",
"Do you think this {word} is appropriate for a formal event?"
],
"advanced": [
"The intricate embroidery on her {word} caught everyone's attention at the gallery opening.",
"I've been searching for a {word} in this particular shade of blue for months.",
"The vintage {word} I found at the thrift store needed just minor alterations to fit perfectly.",
"She designs and sews her own {word}s using sustainable fabrics and traditional techniques.",
"After the washing machine incident, my favorite {word} was never quite the same.",
"When traveling to colder climates, I always pack my warmest {word} just in case.",
"The designer's latest collection features {word}s with bold geometric patterns and vibrant colors.",
"The celebrity was photographed wearing a custom-made {word} at the awards ceremony.",
"I've had this {word} for years, and it still remains one of my favorite pieces in my wardrobe.",
"The tailor suggested a different style of {word} that would better complement my body type."
]
},
# UNCOUNTABLE CLOTHING TEMPLATES - No articles
"uncountable_clothing": {
"basic": [
"The {word} feels very soft.",
"I need new {word} for winter.",
"This {word} is expensive.",
"She likes wearing {word} from that brand.",
"Where did you buy this {word}?",
"The {word} is made in Italy.",
"I prefer cotton {word}.",
"This {word} is too warm for summer.",
"The store sells {word} for all seasons.",
"That {word} looks comfortable."
],
"intermediate": [
"She designs {word} for a high-end fashion label in Milan.",
"I'm looking for {word} that's both stylish and comfortable.",
"The {word} she wore to the event received many compliments.",
"This brand specializes in {word} for outdoor activities.",
"The {word} in the display window caught my attention immediately.",
"Quality {word} is worth the investment in the long run.",
"They import {word} from several European countries.",
"The {word} feels incredibly soft and lightweight.",
"We need to buy warmer {word} before our trip to Norway.",
"The latest {word} collection features bold patterns and colors."
],
"advanced": [
"The designer's new collection features {word} made entirely from sustainable and recycled materials.",
"She has a keen eye for quality {word} that will last for many seasons.",
"The boutique specializes in handcrafted {word} using traditional techniques passed down for generations.",
"When traveling to varied climates, I always pack versatile {word} that can be layered as needed.",
"The exhibition showcased how {word} has evolved through different cultural contexts over the centuries.",
"The company has revolutionized athletic {word} with their innovative moisture-wicking fabrics.",
"After studying fashion design, she launched her own line of {word} inspired by architectural elements.",
"The {word} displayed in the museum demonstrates the craftsmanship of that historical period.",
"I prefer investing in timeless {word} rather than following fast-fashion trends.",
"The documentary explores how modern {word} production impacts environmental sustainability."
]
},
# PERSON TEMPLATES - For words describing people
"person": {
"basic": [
"The {word} is waiting outside.",
"I met a friendly {word} today.",
"She is a {word} at the university.",
"My neighbor is a {word}.",
"A {word} helped me find my way.",
"The {word} waved hello.",
"I saw a {word} at the store.",
"The {word} was very kind.",
"Do you know that {word}?",
"The {word} is reading a book."
],
"intermediate": [
"The {word} I met at the conference gave an interesting presentation about climate change.",
"My cousin recently became a {word} at the new hospital downtown.",
"The {word} who lives next door often helps me with my gardening questions.",
"We interviewed several {word}s for the position, but none had the right qualifications.",
"The {word} who wrote this article has a unique perspective on the issue.",
"A {word} approached me in the park asking for directions to the museum.",
"The community center needs more volunteer {word}s to help with the after-school program.",
"The {word} who served us at the restaurant was very attentive and friendly.",
"My daughter wants to become a {word} when she grows up.",
"The {word} standing by the entrance seemed to be waiting for someone."
],
"advanced": [
"The {word} who mentored me during my early career had a profound influence on my professional development.",
"After twenty years as a dedicated {word}, she decided to pursue a completely different career path.",
"The documentary features interviews with {word}s from diverse backgrounds sharing their unique experiences.",
"The renowned {word} delivered a compelling speech about the importance of community engagement.",
"The organization provides resources and support to {word}s who are navigating challenging circumstances.",
"My grandparent was a {word} during a pivotal time in our country's history.",
"Research suggests that {word}s who maintain strong social connections tend to live longer, healthier lives.",
"The book chronicles the journey of a {word} who overcame significant obstacles to achieve their dreams.",
"The panel discussion included perspectives from {word}s representing various fields and specialties.",
"As an experienced {word}, she offers valuable insights that only come with years of practice."
]
},
# ANIMAL TEMPLATES - For animal words (more natural, everyday examples)
"animal": {
"basic": [
"The {word} is sleeping.",
"I saw a {word} at the zoo.",
"My friend has a pet {word}.",
"The {word} runs very fast.",
"The {word} has beautiful fur.",
"I like watching {word}s.",
"The {word} is eating.",
"That {word} is very large.",
"The {word} lives in the forest.",
"Can you see the {word}?"
],
"intermediate": [
"We saw a {word} during our visit to the wildlife park.",
"My daughter loves learning about {word}s in her science class.",
"The TV show featured baby {word}s playing with their mother.",
"The zoo has three new {word}s in their collection this year.",
"Be careful if you see a wild {word} while hiking in the mountains.",
"The {word} we spotted on our hike was with its young.",
"My son has a book with beautiful pictures of {word}s.",
"The {word} at the zoo gets fed twice a day.",
"My neighbor's pet {word} escaped from their yard yesterday.",
"The children were excited to see the {word} at the zoo."
],
"advanced": [
"The documentary showed how {word}s care for their young in the wild.",
"Our safari guide pointed out a family of {word}s near the watering hole.",
"The {word} at the wildlife sanctuary has been trained to perform simple tricks.",
"My favorite exhibit at the natural history museum features a giant {word}.",
"We learned that {word}s are most active during the early morning hours.",
"In many stories and fables, the {word} is portrayed as clever and cunning.",
"The zoo provides special enrichment activities to keep their {word}s healthy and happy.",
"The wildlife photographer showed us amazing close-up photos of a {word} in its natural habitat.",
"She's studying to become a veterinarian specializing in treating {word}s and similar species.",
"The nature park has created a special protected area for the local {word} population."
]
},
# EYEWEAR TEMPLATES - For glasses, sunglasses, etc.
"eyewear": {
"basic": [
"I need my {word} to read.",
"She wears {word} all the time.",
"These {word} are new.",
"My {word} are broken.",
"Where are my {word}?",
"I lost my {word} yesterday.",
"These {word} help me see better.",
"The {word} are on the table.",
"His {word} have blue frames.",
"I need to clean my {word}."
],
"intermediate": [
"I finally found a pair of {word} that fit comfortably on my face.",
"She needs to wear prescription {word} while driving.",
"The optometrist recommended these {word} for reading and computer work.",
"My {word} have transition lenses that darken in the sunlight.",
"He's been wearing the same style of {word} for over twenty years.",
"I keep forgetting where I put my {word} down around the house.",
"These designer {word} were quite expensive but should last for years.",
"My new {word} have anti-glare coating which helps reduce eye strain.",
"She has several pairs of {word} that she coordinates with different outfits.",
"The {word} case protects them when I'm not wearing them."
],
"advanced": [
"After trying countless styles, I finally found {word} that complement my face shape and personal style.",
"The optometrist explained that my progressive {word} would take some time to adjust to, but would ultimately be more convenient.",
"She collects vintage {word} from the 1960s and has an impressive display of unique frames.",
"The technology behind these specialized {word} allows people with color blindness to perceive a wider range of colors.",
"My grandfather has worn the same tortoiseshell {word} for decades, refusing all suggestions to update his style.",
"The museum exhibition featured {word} worn by famous historical figures, showing how eyewear fashion has evolved.",
"Modern {word} manufacturing combines traditional craftsmanship with innovative materials for both durability and comfort.",
"The ophthalmologist suggested I try computer {word} specifically designed to filter blue light and reduce digital eye strain.",
"After laser surgery, she only needs to wear {word} occasionally for night driving or extended reading sessions.",
"The artisan creates custom {word} using sustainable materials and traditional techniques passed down for generations."
]
},
# JEWELRY TEMPLATES - For necklaces, rings, bracelets, etc.
"jewelry": {
"basic": [
"She wears a beautiful {word}.",
"The {word} is made of gold.",
"I lost my {word} yesterday.",
"This {word} was a gift.",
"The {word} has a diamond.",
"I like your {word}.",
"That {word} looks expensive.",
"My grandmother gave me this {word}.",
"She never takes off her {word}.",
"Where did you buy that {word}?"
],
"intermediate": [
"She wore her grandmother's antique {word} to the wedding ceremony.",
"The handcrafted {word} features stones collected from the local riverbed.",
"I had my {word} repaired at a specialty shop downtown.",
"He surprised her with a {word} for their anniversary celebration.",
"The museum displays {word}s from various historical periods and cultures.",
"She designs custom {word}s using traditional techniques she learned as an apprentice.",
"The {word} catches the light beautifully when she moves.",
"This {word} has been passed down through four generations of my family.",
"I'm looking for a {word} that I can wear with both casual and formal outfits.",
"The artisan market had a vendor selling handmade {word}s from recycled materials."
],
"advanced": [
"The intricate {word} she wore to the gala featured rare gemstones arranged in a pattern inspired by celestial constellations.",
"Archaeological discoveries revealed that ancient civilizations crafted {word}s using techniques that still challenge modern artisans.",
"The exhibition showcased how {word} designs have evolved across cultures while maintaining symbolic significance.",
"After studying under master craftspeople, she now creates custom {word}s that blend traditional methods with contemporary aesthetics.",
"The family heirloom {word} not only holds sentimental value but has been appraised as a rare historical piece.",
"The artisan's {word} collection features materials sourced ethically from sustainable mines and workshops.",
"Cultural traditions surrounding the gifting of {word}s reveal fascinating insights about historical social structures.",
"The delicate balance between craftsmanship and wearability is evident in every {word} the designer creates.",
"Her travels around the world have inspired a unique collection of {word}s that incorporate diverse cultural elements.",
"The restoration of the antique {word} required specialized techniques to preserve its original character and value."
]
},
# TOOLS TEMPLATES - For scissors, hammers, etc.
"tools": {
"basic": [
"I need the {word} to finish this.",
"The {word} is in the toolbox.",
"Can you pass me the {word}?",
"This {word} is very sharp.",
"Where are the {word}?",
"I bought a new {word} yesterday.",
"These {word} are old but work well.",
"Be careful with the {word}.",
"The {word} is broken.",
"I can't find my {word}."
],
"intermediate": [
"I need a specific type of {word} for this delicate repair work.",
"My grandfather's {word} has lasted for decades because of its quality craftsmanship.",
"The workshop has a specialized {word} that makes this process much easier.",
"She keeps her {word} organized in a custom-built storage system.",
"The artisan demonstrated how to properly use the {word} for best results.",
"I borrowed my neighbor's {word} to finish the project yesterday.",
"These professional-grade {word}s cost more but will last much longer.",
"The {word} needs to be sharpened before we continue with the project.",
"You'll need a different {word} for working with that material.",
"The antique {word} is still perfectly functional despite its age."
],
"advanced": [
"The craftsman hand-forges each {word} using techniques that have been passed down for generations.",
"Modern manufacturing has changed the design of the {word}, but professional artisans often prefer traditional models.",
"The museum's collection includes {word}s dating back to the industrial revolution, showing the evolution of tool design.",
"After apprenticing with a master, she developed her own modified {word} that addresses common issues with the standard design.",
"The specialized {word} was developed specifically for this type of precision work and requires significant training to use properly.",
"Restoring antique furniture requires period-appropriate {word}s to maintain historical accuracy and preservation standards.",
"Different regions developed unique variations of the {word} based on local materials and specific cultural needs.",
"The ergonomic design of this modern {word} reduces strain during extended periods of use.",
"The documentary explores how the invention of the {word} revolutionized this particular craft and industry.",
"Professional artisans often modify their {word}s to suit their specific working style and the unique demands of their specialty."
]
},
# TOYS TEMPLATES - For toys, games, etc. (more natural, child-focused examples)
"toys": {
"basic": [
"The child loves playing with the {word}.",
"This {word} is my favorite toy.",
"She sleeps with her {word} every night.",
"The {word} is sitting on the shelf.",
"He got a new {word} for his birthday.",
"This {word} is so soft and cuddly.",
"My daughter won't go anywhere without her {word}.",
"The {word} has a button that makes sounds.",
"We bought a new {word} at the toy store.",
"The children share their {word} with each other."
],
"intermediate": [
"My daughter takes her {word} with her everywhere she goes.",
"The child's {word} was a gift from her grandparents last Christmas.",
"When he can't find his {word}, he gets very upset at bedtime.",
"The little boy dragged his {word} behind him as he walked through the store.",
"She has a collection of {word}s displayed on her bedroom shelf.",
"His favorite {word} is getting worn out from being hugged so much.",
"The twins each have their own {word} that they take to preschool.",
"We had to go back to the hotel to get her {word} before bedtime.",
"The {word} has become his comfort object when he's feeling sad.",
"You can see how much she loves her {word} by how well she takes care of it."
],
"advanced": [
"The hospital gives each child a {word} to help them feel more comfortable during their stay.",
"My son still keeps his childhood {word} even though he's now in college.",
"The store specializes in handmade {word}s that are passed down through generations.",
"The family tradition involves giving each newborn child a special {word} on their first birthday.",
"The charity collects gently used {word}s to donate to children in need during the holidays.",
"The display case holds her collection of vintage {word}s from around the world.",
"Therapists often use {word}s to help children express their feelings during counseling sessions.",
"When we moved to a new country, his familiar {word} helped him adjust to all the changes.",
"The company designs {word}s specifically for children with sensory processing challenges.",
"My grandmother kept her childhood {word} for over seventy years before passing it on to me."
]
},
# VERB TEMPLATES - For action words
"verb": {
"basic": [
"I {word} every morning.",
"She {word}s regularly.",
"They {word} on weekends.",
"Do you {word} often?",
"He doesn't {word}.",
"We {word}ed yesterday.",
"I will {word} tomorrow.",
"She is {word}ing now.",
"Have you ever {word}ed?",
"They are {word}ing."
],
"intermediate": [
"I try to {word} at least three times a week for my health.",
"She {word}s whenever she has a free moment in her busy schedule.",
"The instructor taught us the proper technique to {word} effectively.",
"After the accident, he couldn't {word} for several months during recovery.",
"We {word} together every Saturday as part of our weekend routine.",
"The guidelines recommend that beginners {word} no more than twice weekly.",
"I've been {word}ing regularly since January and have noticed significant improvements.",
"Children naturally learn to {word} through observation and practice.",
"The app helps you track how often you {word} and measures your progress.",
"They {word} competitively at the national level."
],
"advanced": [
"Research indicates that those who {word} consistently throughout their lives maintain better cognitive function as they age.",
"After decades of {word}ing professionally, she now teaches advanced techniques to dedicated students.",
"The documentary explores how cultural differences influence the way people {word} across various societies.",
"The ancient practice of {word}ing has evolved considerably but maintains its core principles and benefits.",
"His innovative method of {word}ing challenged conventional wisdom and eventually transformed the entire field.",
"The rehabilitation program incorporates modified ways to {word} that accommodate various physical limitations.",
"Neuroscience research reveals that {word}ing activates multiple brain regions simultaneously, creating new neural pathways.",
"The philosophy behind this approach suggests that how you {word} reflects fundamental aspects of your worldview.",
"Traditional communities have {word}ed as part of seasonal rituals for countless generations.",
"The longitudinal study tracked participants who {word} regularly, finding significant long-term health benefits."
]
},
# ADJECTIVE TEMPLATES - For descriptive words
"adjective": {
"basic": [
"The sky is {word} today.",
"She looks very {word}.",
"That is a {word} book.",
"The food tastes {word}.",
"I feel {word} this morning.",
"The music sounds {word}.",
"What a {word} day!",
"The water is {word}.",
"His house is very {word}.",
"The flowers smell {word}."
],
"intermediate": [
"The critics described the film as surprisingly {word} despite its low budget.",
"After the renovation, the room feels much more {word} and welcoming.",
"The chef is known for creating {word} dishes that combine unexpected flavors.",
"The {word} atmosphere of the café makes it perfect for quiet conversation.",
"Her writing style is refreshingly {word} compared to other authors in the genre.",
"The landscape becomes increasingly {word} as you travel further north.",
"We were impressed by the {word} performance of the young musician.",
"The weather turned unexpectedly {word} during our vacation.",
"She chose a more {word} approach to solving the complex problem.",
"The {word} quality of the light at sunset inspired many of his paintings."
],
"advanced": [
"The architectural design achieves a harmonious balance between {word} elements and practical functionality.",
"The region's cuisine is characterized by {word} flavors that reflect its unique cultural heritage and local ingredients.",
"Critics have noted the increasingly {word} tone of the author's work as it evolved over decades.",
"The exhibition juxtaposes {word} contemporary pieces with classical works to create thought-provoking contrasts.",
"Researchers documented the {word} conditions that contribute to this rare ecological phenomenon.",
"The performance was notable for its {word} interpretation of the traditional composition.",
"The memoir reveals the {word} complexity of relationships formed during periods of historical upheaval.",
"Urban planners aim to create more {word} community spaces that encourage diverse interactions.",
"The documentary captures the {word} beauty of remote landscapes rarely witnessed by human eyes.",
"Medical researchers have identified several {word} biomarkers associated with early stages of the condition."
]
},
# GENERAL TEMPLATES - Fallback for everything else
"general": {
"basic": [
"Let's talk about {word}.",
"I'm interested in {word}.",
"Do you know about {word}?",
"{word} is important.",
"I learned about {word} yesterday.",
"She mentioned {word}.",
"They're studying {word}.",
"What do you think about {word}?",
"{word} has changed over time.",
"The book explains {word}."
],
"intermediate": [
"We discussed the implications of {word} during yesterday's meeting.",
"The article explores different perspectives on {word} in modern society.",
"She's been researching {word} for her upcoming paper.",
"Recent developments in {word} have changed our understanding of the field.",
"The podcast featured experts discussing the future of {word}.",
"Understanding {word} requires knowledge of several related concepts.",
"The course offers an introduction to the basics of {word}.",
"There are various approaches to addressing issues related to {word}.",
"The conference will focus on recent advances in {word}.",
"They published a comprehensive study about {word} last year."
],
"advanced": [
"The interdisciplinary approach to {word} reveals connections that weren't apparent within traditional academic frameworks.",
"Historical perspectives on {word} provide valuable context for understanding contemporary challenges in the field.",
"The symposium brought together experts from diverse backgrounds to address emerging questions about {word}.",
"Technological innovations have fundamentally transformed how researchers approach the study of {word}.",
"Cultural attitudes toward {word} vary significantly across different societies and historical periods.",
"The foundation funds projects that explore ethical implications of {word} in various contexts.",
"Policymakers must consider multiple stakeholder perspectives when developing regulations related to {word}.",
"The textbook presents a comprehensive framework for analyzing {word} across different scenarios.",
"Ongoing debates about {word} reflect deeper philosophical questions about our societal values.",
"The documentary examines how public understanding of {word} has evolved over the past century."
]
}
}
# Common words in each category
self.category_words = {
"person": [
"person", "man", "woman", "boy", "girl", "child", "teacher", "doctor",
"student", "friend", "neighbor", "parent", "employee", "worker", "artist",
"musician", "writer", "chef", "athlete", "scientist", "engineer", "nurse"
],
"animal": [
"dog", "cat", "bird", "fish", "horse", "cow", "elephant", "lion",
"tiger", "bear", "rabbit", "monkey", "mouse", "frog", "snake", "wolf",
"fox", "deer", "giraffe", "zebra", "penguin", "eagle", "owl", "turtle"
],
"clothing": [
"shirt", "pants", "dress", "jacket", "coat", "hat", "gloves", "socks",
"shoes", "boots", "sweater", "skirt", "jeans", "top", "scarf", "tie",
"blouse", "suit", "belt", "vest", "hoodie", "shorts", "pajamas", "uniform"
],
"uncountable_clothing": [
"clothing", "outerwear", "underwear", "sportswear", "footwear", "swimwear",
"knitwear", "loungewear", "sleepwear", "activewear", "winterwear", "beachwear"
],
"eyewear": [
"glasses", "sunglasses", "contacts", "goggles", "spectacles", "eyeglasses",
"shades", "reading glasses", "bifocals", "prescription glasses"
],
"jewelry": [
"necklace", "ring", "bracelet", "earrings", "watch", "pendant",
"brooch", "pin", "chain", "locket", "anklet", "cufflinks", "tiara",
"crown", "medallion", "choker", "bangle", "charm bracelet"
],
"tools": [
"scissors", "knife", "hammer", "screwdriver", "wrench", "pliers",
"saw", "drill", "tape measure", "level", "chisel", "clamp", "ruler",
"axe", "shovel", "rake", "trowel", "sander", "nail gun", "paintbrush"
],
"toys": [
"teddy bear", "doll", "ball", "blocks", "action figure", "puzzle",
"toy car", "stuffed animal", "plush toy", "game", "toy", "robot",
"kite", "yo-yo", "train set", "board game", "video game", "rattle",
"building set", "puppet", "play set", "model kit"
]
}
# Words that are typically used in plural form
self.plural_words = [
"glasses", "pants", "shorts", "jeans", "scissors", "trousers", "sunglasses",
"goggles", "spectacles", "eyeglasses", "headphones", "tights", "leggings",
"pliers", "binoculars", "tweezers", "pajamas", "shorts", "overalls", "trunks",
"boxers", "briefs", "clippers", "shears", "earrings", "earbuds", "headphones"
]
# Special cases that need specific handling
self.special_cases = {
"top": "clothing",
"glasses": "eyewear",
"teddy bear": "toys",
"teddy": "toys",
"clothing": "uncountable_clothing",
"bear": "animal",
"watch": "jewelry"
}
# Initialize the history of used templates
self.template_history = {}
def get_example_sentence(self, word, target_language, category=None):
"""Get an example sentence for a word using the enhanced algorithm."""
try:
# Normalize word
original_word = word
word = word.strip().lower()
if self.debug:
print(f"\n>>> Getting example for: '{word}' <<<\n")
# Try to get example from API with filter pipeline
examples = self._get_api_examples_with_pipeline(word, category)
# If we have valid examples, choose one randomly and return
if examples:
example = self._select_diverse_example(examples, word)
if self.debug:
print(f">>> Selected API example: '{example}'")
# Clean up the example
example = self._clean_sentence(example)
# Translate
translated = self._translate(example, target_language)
return {
"english": example,
"translated": translated,
"source": "filtered_api"
}
# If no valid API examples, use templates with complex selection
if self.debug:
print(f">>> No valid API examples found, using enhanced templates")
# Use category if provided, otherwise determine category
word_category = category if category else self._get_word_category(word)
if self.debug:
print(f">>> Word category: {word_category}")
# Get appropriate templates and select a diverse one
template, complexity = self._select_diverse_template(word, word_category)
# Create example from template with appropriate handling
example = self._create_example_from_template(template, word, word_category)
# Translate the example
translated = self._translate(example, target_language)
return {
"english": example,
"translated": translated,
"source": f"template_{word_category}_{complexity}"
}
except Exception as e:
if self.debug:
print(f">>> Error: {e}")
# Ultimate fallback
fallback = f"This is a {word}."
return {
"english": fallback,
"translated": self._translate(fallback, target_language),
"source": "error_fallback"
}
def _get_api_examples_with_pipeline(self, word, category=None):
"""Get examples from APIs and run them through the enhanced filter pipeline."""
# Get raw examples from all API sources
raw_examples = []
# Try Free Dictionary API
dict_examples = self._get_free_dictionary_examples(word)
if dict_examples:
raw_examples.extend(dict_examples)
# Try Wordnik API
wordnik_examples = self._get_wordnik_examples(word)
if wordnik_examples:
raw_examples.extend(wordnik_examples)
if not raw_examples:
if self.debug:
print(">>> No examples found from APIs")
return []
# Apply enhanced filter pipeline to raw examples
filtered_examples = []
for example in raw_examples:
# Run through all filters
if self._enhanced_filter_pipeline(example, word, category):
filtered_examples.append(example)
return filtered_examples
def _enhanced_filter_pipeline(self, example, word, category=None):
"""
Enhanced filter pipeline with improved context awareness.
Returns True if the example passes all filters, False otherwise.
"""
# Filter 1: Basic quality check
if not self._basic_quality_check(example):
if self.debug:
print(f">>> Rejected (Basic quality): '{example}'")
return False
# Filter 2: Exact word match
if not self._contains_exact_word(example, word):
if self.debug:
print(f">>> Rejected (No exact word match): '{example}'")
return False
# Filter 3: Compound word check
if self._contains_compound_words(example, word):
if self.debug:
print(f">>> Rejected (Contains compound word): '{example}'")
return False
# Filter 4: Variant form check
if self._contains_variant_forms(example, word):
if self.debug:
print(f">>> Rejected (Contains variant form): '{example}'")
return False
# Filter 5: Context appropriateness check based on category
identified_category = category if category else self._get_word_category(word)
if not self._check_advanced_context(example, word, identified_category):
if self.debug:
print(f">>> Rejected (Inappropriate context for {identified_category}): '{example}'")
return False
# Filter 6: Complexity and educational value check
if not self._check_complexity_value(example, word):
if self.debug:
print(f">>> Rejected (Not suitable complexity/value): '{example}'")
return False
# All filters passed
if self.debug:
print(f">>> Accepted: '{example}'")
return True
def _basic_quality_check(self, text):
"""Check if a sentence meets basic quality standards."""
# Must be a reasonable length
words = text.split()
if len(words) < 3 or len(words) > 25:
return False
# Shouldn't contain semicolons (often indicates a list, not a sentence)
if ';' in text:
return False
# Shouldn't be metadata
if "example of" in text.lower() or "examples of" in text.lower() or "example:" in text.lower():
return False
# Check if it has a proper end punctuation
if not text.strip().endswith(('.', '!', '?')):
return False
# Shouldn't contain inappropriate language
inappropriate_terms = ["kill", "die", "death", "murder", "suicide", "sex", "porn", "explicit", "violent"]
if any(term in text.lower() for term in inappropriate_terms):
return False
return True
def _contains_exact_word(self, text, word):
"""Check if text contains the exact word with proper word boundaries."""
pattern = r'\b' + re.escape(word) + r'\b'
return re.search(pattern, text.lower()) is not None
def _contains_compound_words(self, text, word):
"""Check if text contains compound words that include the target word."""
# Skip for very short words (2 chars or less) to avoid too many false positives
if len(word) <= 2:
return False
# Find all words in the text
all_words = re.findall(r'\b\w+\b', text.lower())
for text_word in all_words:
# Skip exact match
if text_word == word:
continue
# Check if the word is part of a longer word
if word in text_word:
# Check for special cases where it's ok
if word == "glass" and text_word == "glasses" and re.search(r'\b(eye|read|see|vision)', text.lower()):
continue
# It's a compound word
return True
return False
def _contains_variant_forms(self, text, word):
"""Check if text contains variant forms of the word."""
# Common variant forms for different word types
variants = set()
# Plural forms (for nouns)
if word.endswith('s'):
# If word ends with 's', consider singular form as variant
singular = word[:-1]
if len(singular) > 2: # Only add if meaningful
variants.add(singular)
else:
# Add potential plural forms
variants.add(word + "s")
if word.endswith('y'):
variants.add(word[:-1] + "ies")
elif word.endswith(('ch', 'sh', 'x', 'z', 's')):
variants.add(word + "es")
# Verb forms
variants.add(word + "ing")
variants.add(word + "ed")
if word.endswith('e'):
variants.add(word[:-1] + "ing")
variants.add(word + "d")
elif word.endswith(('y')):
variants.add(word[:-1] + "ied")
elif len(word) > 3 and word[-1] not in 'aeiou' and word[-2] in 'aeiou' and word[-3] not in 'aeiou':
variants.add(word + word[-1] + "ing")
variants.add(word + word[-1] + "ed")
# Adjective forms
variants.add(word + "er")
variants.add(word + "est")
if word.endswith('e'):
variants.add(word + "r")
variants.add(word + "st")
elif word.endswith('y'):
variants.add(word[:-1] + "ier")
variants.add(word[:-1] + "iest")
elif len(word) > 3 and word[-1] not in 'aeiou' and word[-2] in 'aeiou' and word[-3] not in 'aeiou':
variants.add(word + word[-1] + "er")
variants.add(word + word[-1] + "est")
# Special case handling for certain words
if word == "bear":
variants.update(["bore", "bearing", "bearable", "unbearable"])
elif word == "glasses":
variants.update(["glass", "eyeglass", "fiberglass", "fibreglass"])
elif word == "glass":
variants.update(["glasses", "fiberglass", "fibreglass"])
elif word == "top":
variants.update(["topping", "topped", "topmost"])
# Check for special case exceptions
if word == "glasses" and "eyeglasses" in text.lower():
return False
# Check if text contains any variants
for variant in variants:
if len(variant) <= 2:
continue # Skip very short variants
if self._contains_exact_word(text, variant):
if self.debug:
print(f">>> Found variant form: '{variant}'")
return True
return False
def _check_advanced_context(self, text, word, category):
"""Enhanced context check that considers word category and typical usage patterns."""
text_lower = text.lower()
# Special case for "bear" and other animals
if word == "bear" or category == "animal" and word == "bear":
# Check for animal context
animal_contexts = ["zoo", "animal", "wild", "fur", "cub", "paw", "den", "forest",
"grizzly", "polar", "pet", "wildlife", "nature", "animals"]
verb_contexts = ["burden", "weight", "load", "responsibility", "stand", "support",
"carry", "bore", "market", "stock", "bear with", "bear in mind"]
academic_contexts = ["research", "scientific", "theory", "journal", "symposium",
"academia", "philosophical", "evolution", "publication", "dissertation"]
has_animal_context = any(context in text_lower for context in animal_contexts)
has_verb_context = any(context in text_lower for context in verb_contexts)
has_academic_context = any(context in text_lower for context in academic_contexts)
# Prefer animal context, reject verb context and academic contexts
return has_animal_context and not has_verb_context and not has_academic_context
# Special case for teddy bear - ensure child-friendly context
elif "teddy" in word or word == "teddy bear":
child_contexts = ["child", "play", "toy", "soft", "cuddly", "sleep", "bed", "hug",
"stuffed", "plush", "gift", "favorite", "baby", "kid", "comfort"]
academic_contexts = ["research", "academic", "philosophical", "theory", "values",
"societal", "education", "cognitive", "development", "scholarly"]
has_child_context = any(context in text_lower for context in child_contexts)
has_academic_context = any(context in text_lower for context in academic_contexts)
# Strongly prefer child context for teddy bears, reject academic contexts
return has_child_context and not has_academic_context
# Special case for "top" (clothing vs. position)
elif word == "top" or category == "clothing" and word == "top":
# Check for clothing context
clothing_contexts = ["wear", "shirt", "outfit", "fashion", "dress", "color", "colour",
"style", "clothes", "wardrobe", "buy", "bought", "new", "fabric",
"cotton", "silk", "button", "sleeve", "collar", "blouse"]
position_contexts = ["mountain", "hill", "climb", "reached", "leadership", "ranked",
"ceiling", "position", "over", "above", "surface", "highest",
"best", "leading", "foremost", "premier", "superior", "chief"]
has_clothing_context = any(context in text_lower for context in clothing_contexts)
has_position_context = any(context in text_lower for context in position_contexts)
# For "top", strongly prefer clothing context for a language learning app
return has_clothing_context and not has_position_context
# For person words, check that context is not objectifying or inappropriate
elif category == "person":
objectifying_contexts = ["use", "using", "used", "utilize", "buy", "bought", "sell",
"sold", "cost", "price", "cheap", "expensive", "owned"]
# Check proximity of objectifying words to the person word
for context in objectifying_contexts:
if context in text_lower:
# Check if the objectifying word is close to the person word
context_index = text_lower.find(context)
word_index = text_lower.find(word)
if abs(context_index - word_index) < 15: # Within ~3-4 words
return False
# Special case for tools
elif category == "tools" and word == "scissors":
wrong_contexts = ["executed", "perfect", "jump", "kick", "position", "technique", "sports"]
tool_contexts = ["cut", "cutting", "paper", "fabric", "hair", "sharp", "blade", "trim"]
has_wrong_context = any(context in text_lower for context in wrong_contexts)
has_tool_context = any(context in text_lower for context in tool_contexts)
return has_tool_context or not has_wrong_context
# Special case for eyewear "glasses"
elif category == "eyewear":
# Check if it has eyewear context
eyewear_contexts = ["see", "vision", "read", "eye", "wear", "sight", "prescription",
"lens", "optician", "frame", "vision", "optometrist", "sunglasses"]
wrong_contexts = ["fill", "empty", "drink", "beverage", "water", "wine", "window",
"fiber", "fibre", "cup", "mug", "liquid", "pour"]
# Must have at least one eyewear context word or phrase
has_eyewear_context = any(context in text_lower for context in eyewear_contexts)
# Must not have conflicting contexts
has_wrong_context = any(context in text_lower for context in wrong_contexts)
return has_eyewear_context or not has_wrong_context
# Special case for jewelry
elif category == "jewelry":
jewelry_contexts = ["wear", "gold", "silver", "diamond", "gem", "stone", "gift",
"beautiful", "elegant", "accessory", "decorated", "adorned"]
has_jewelry_context = any(context in text_lower for context in jewelry_contexts)
return has_jewelry_context
# Clothing checks
elif category in ["clothing", "uncountable_clothing"]:
clothing_contexts = ["wear", "fashion", "style", "outfit", "dressed", "clothes",
"wardrobe", "fabric", "color", "comfortable", "fit", "size"]
has_clothing_context = any(context in text_lower for context in clothing_contexts)
return has_clothing_context
# For most words, more relaxed context check
return True
def _check_complexity_value(self, text, word):
"""Check if the example has appropriate complexity and educational value."""
# Count words for basic complexity check
word_count = len(text.split())
# Very short examples may not provide enough context
if word_count < 5:
return False
# Very long examples might be too complex for beginners
if word_count > 20:
return False
# Check for overly complex words that might be difficult for language learners
complex_words = 0
for w in text.split():
w = w.lower().strip('.,!?":;()')
if len(w) > 8 and w != word.lower(): # Don't count the target word as complex
complex_words += 1
# If more than 20% of words are complex, maybe too difficult
if complex_words / word_count > 0.2:
return False
# Prefer examples where the target word appears near the beginning or middle
# for better context understanding
word_position = text.lower().find(word.lower())
if word_position > len(text) * 0.7: # If word appears only near the end
return False
return True
def _get_word_category(self, word):
"""Determine the most appropriate category for a word with enhanced detection."""
# Check special cases first
if word in self.special_cases:
return self.special_cases[word]
# Check predefined categories
for category, words in self.category_words.items():
if word in words:
return category
# Handle compound words
if "teddy bear" in word or "teddy" in word:
return "toys"
# Check word endings and patterns
if word in self.plural_words:
# Check specific types of plurals
if word in ["scissors", "pliers", "clippers", "shears"]:
return "tools"
elif word in ["glasses", "sunglasses", "spectacles", "eyeglasses"]:
return "eyewear"
elif word in ["pants", "shorts", "jeans", "trousers", "tights", "leggings"]:
return "clothing"
else:
return "noun"
elif word.endswith('ing') and len(word) > 5:
if word in ["clothing"]:
return "uncountable_clothing"
return "verb"
elif word.endswith(('er', 'est')) and len(word) > 4:
# Check if it's actually a comparative/superlative adjective
# or a noun ending in 'er' (like "computer")
if word.endswith('er') and word[:-2] + 'e' in self.category_words.get("verb", []):
return "person" # Like "teacher" from "teach"
return "adjective"
# Default to noun for most words
return "noun"
def _select_diverse_example(self, examples, word):
"""Select a diverse example, avoiding recent patterns if possible."""
if not examples:
return None
# If only one example, return it
if len(examples) == 1:
return examples[0]
# Analyze examples for diversity factors
analyzed_examples = []
for example in examples:
# Calculate distance from word to beginning
word_pos = example.lower().find(word.lower())
total_length = len(example)
position_ratio = word_pos / total_length if total_length > 0 else 0
# Count sentence complexity (length, word variety)
words = example.split()
sentence_length = len(words)
unique_words = len(set([w.lower() for w in words]))
word_variety = unique_words / sentence_length if sentence_length > 0 else 0
# Detect sentence structure
has_question = example.endswith('?')
has_dialogue = '"' in example or "'" in example and "said" in example.lower()
has_conjunction = any(conj in example.lower() for conj in [" and ", " but ", " or ", " because ", " however "])
# Create a feature vector for this example
features = {
"position_ratio": position_ratio,
"sentence_length": sentence_length,
"word_variety": word_variety,
"has_question": has_question,
"has_dialogue": has_dialogue,
"has_conjunction": has_conjunction
}
analyzed_examples.append((example, features))
# Get previously used patterns if available
prev_patterns = self.recent_templates.get(word, [])
# Score examples based on diversity from previous patterns
scored_examples = []
for example, features in analyzed_examples:
# Start with base score
score = 10
# Prefer moderate length sentences (not too short, not too long)
length_score = 0
if 7 <= features["sentence_length"] <= 15:
length_score = 5
elif 5 <= features["sentence_length"] < 7 or 15 < features["sentence_length"] <= 20:
length_score = 3
score += length_score
# Prefer good word variety
if features["word_variety"] > 0.8:
score += 3
elif features["word_variety"] > 0.6:
score += 2
# Slight bonus for different sentence structures
if features["has_question"]:
score += 1
if features["has_dialogue"]:
score += 1
if features["has_conjunction"]:
score += 2
# Major bonus for differing from recent patterns
for prev_pattern in prev_patterns:
# Compare this example to previous patterns
pattern_similarity = 0
# Position similarity
if abs(features["position_ratio"] - prev_pattern.get("position_ratio", 0)) < 0.2:
pattern_similarity += 1
# Length similarity
if abs(features["sentence_length"] - prev_pattern.get("sentence_length", 0)) < 3:
pattern_similarity += 1
# Structure similarity
if features["has_question"] == prev_pattern.get("has_question", False):
pattern_similarity += 1
if features["has_dialogue"] == prev_pattern.get("has_dialogue", False):
pattern_similarity += 1
if features["has_conjunction"] == prev_pattern.get("has_conjunction", False):
pattern_similarity += 1
# Penalize similarity to recent patterns
score -= pattern_similarity
scored_examples.append((example, features, score))
# Sort by score (highest first)
scored_examples.sort(key=lambda x: x[2], reverse=True)
# Get the highest scored example
best_example = scored_examples[0][0]
best_features = scored_examples[0][1]
# Update recent patterns
if word not in self.recent_templates:
self.recent_templates[word] = []
self.recent_templates[word].append(best_features)
# Keep only the most recent patterns
if len(self.recent_templates[word]) > self.max_recent_templates:
self.recent_templates[word] = self.recent_templates[word][-self.max_recent_templates:]
return best_example
def _select_diverse_template(self, word, category):
"""Select a diverse template based on complexity and avoiding recent patterns."""
# Determine appropriate template category
template_category = category
# If no templates for this category, use general
if template_category not in self.templates:
template_category = "noun" if category in ["clothing", "tools", "jewelry", "eyewear"] else "general"
# Get template subcategories for this type (basic, intermediate, advanced)
if template_category in self.templates:
subcats = list(self.templates[template_category].keys())
else:
subcats = ["basic", "intermediate", "advanced"]
# Adjust weights for specific categories to prefer simpler examples
# For common everyday objects, animals and toys, prefer simpler examples
if category in ["animal", "toys"] or word in ["bear", "teddy bear"]:
# 60% basic, 30% intermediate, 10% advanced
weights = [0.6, 0.3, 0.1]
elif word in self.plural_words or len(word) <= 4:
# For simple or plural words, prefer simpler examples
# 60% basic, 30% intermediate, 10% advanced
weights = [0.6, 0.3, 0.1]
else:
# Default weights: 50% basic, 30% intermediate, 20% advanced
weights = [0.5, 0.3, 0.2]
complexity = random.choices(subcats, weights=weights[:len(subcats)])[0]
# Get templates for this category and complexity
templates = self.templates.get(template_category, self.templates["general"]).get(complexity, self.templates["general"]["basic"])
# Initialize template history for this word if not exists
word_key = f"{word}_{template_category}"
if word_key not in self.template_history:
self.template_history[word_key] = []
# Try to find a template that hasn't been used recently
available_templates = [t for t in templates if t not in self.template_history[word_key]]
# If all templates have been used, reset history
if not available_templates:
available_templates = templates
self.template_history[word_key] = []
# Select a template
template = random.choice(available_templates)
# Update history
self.template_history[word_key].append(template)
if len(self.template_history[word_key]) > min(5, len(templates)):
self.template_history[word_key] = self.template_history[word_key][-5:]
return template, complexity
def _create_example_from_template(self, template, word, category):
"""Create an example from a template with proper handling of word forms."""
# Special handling for plural words
if word in self.plural_words:
# Replace articles appropriately for plurals
example = template.replace("a {word}", "{word}").replace("an {word}", "{word}")
example = example.replace("the {word} is", "the {word} are")
example = example.replace("This {word} is", "These {word} are")
example = example.replace("this {word} is", "these {word} are")
# Special handling for uncountable nouns
elif category == "uncountable_clothing":
# Remove articles for uncountable nouns
example = template.replace("a {word}", "{word}").replace("an {word}", "{word}")
# Regular handling for other words
else:
example = template
# Insert word into template
example = example.format(word=word)
# Ensure first letter is capitalized
if example and not example[0].isupper():
example = example[0].upper() + example[1:]
# Ensure ending punctuation
if example and not example[-1] in '.!?':
example += '.'
return example
def _get_free_dictionary_examples(self, word):
"""Get all examples from Free Dictionary API."""
try:
cache_path = os.path.join(self.cache_dir, f"freedict_{word}.json")
# Try to load from cache first
if os.path.exists(cache_path):
with open(cache_path, 'r') as f:
cached_data = json.load(f)
if cached_data.get('examples'):
return cached_data['examples']
# If not in cache, fetch from API
url = f"https://api.dictionaryapi.dev/api/v2/entries/en/{word}"
response = requests.get(url, timeout=5)
if response.status_code != 200:
return []
data = response.json()
# Extract example sentences
examples = []
if isinstance(data, list) and len(data) > 0:
for meaning in data[0].get('meanings', []):
for definition in meaning.get('definitions', []):
if 'example' in definition and definition['example']:
examples.append(definition['example'])
# Cache results
if examples:
with open(cache_path, 'w') as f:
json.dump({'examples': examples}, f)
return examples
except Exception as e:
if self.debug:
print(f">>> Free Dictionary API error: {e}")
return []
def _get_wordnik_examples(self, word):
"""Get all examples from Wordnik API."""
try:
cache_path = os.path.join(self.cache_dir, f"wordnik_{word}.json")
# Try to load from cache first
if os.path.exists(cache_path):
with open(cache_path, 'r') as f:
cached_data = json.load(f)
if cached_data.get('examples'):
return cached_data['examples']
# If not in cache, fetch from API
# Note: This API might need an API key in practice
url = f"https://api.wordnik.com/v4/word.json/{word}/examples"
response = requests.get(url, timeout=5)
if response.status_code != 200:
return []
data = response.json()
examples = []
for example in data.get('examples', []):
if 'text' in example and example['text']:
examples.append(example['text'])
# Cache results
if examples:
with open(cache_path, 'w') as f:
json.dump({'examples': examples}, f)
return examples
except Exception as e:
if self.debug:
print(f">>> Wordnik API error: {e}")
return []
def _clean_sentence(self, sentence):
"""Clean and format a sentence."""
# Remove quotes, extra spaces, etc.
sentence = sentence.strip()
sentence = re.sub(r'\s+', ' ', sentence)
# Remove metadata markers
sentence = re.sub(r'\[.*?\]', '', sentence)
# Capitalize first letter
if sentence and not sentence[0].isupper():
sentence = sentence[0].upper() + sentence[1:]
# Ensure ending punctuation
if sentence and not sentence[-1] in '.!?':
sentence += '.'
return sentence
def _translate(self, text, target_language):
"""Translate text using the provided translation function."""
if self.translate_func:
try:
return self.translate_func(text, target_language)
except Exception as e:
if self.debug:
print(f">>> Translation error: {e}")
return ""
else:
return f"[Translation to {target_language}]" |