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<s>Similar and nearest works are done in the field of the spelling checker. Mentionable works are done for detection and correction of non-word error. However, as stated earlier, there are no significant research works done in the field of the context-sensitive or semantic level error. B. B. Chaudhuri has used an appro... |
<s>in a file. From these processed data we collect the unique words which we have used as our dictionary. We also collect words for our dictionary manually. In our method, we are going to generate a set of confusion words for the target word. We preprocess the confused word by using our dictionary which is the collecti... |
<s>our sentence. Naïve Bayes classifier is a model to classify in machine learning which is based on Bayes theorem. Bayes theorem simply follows the conditional probability as described in the following. For a Wi from IS, Bayes theorem can be written in a modified way P(Wi|W1W2…Wi-1Wi+1…Wn ) P(W1|Wi)P(W2|Wi)…P(Wi-1|Wi)... |
<s>a class, then we can represent Naïve Bayes classifier as argmaxSCWP(SCW|FS) =argmaxSCWP(FS|SCW)P(SCW) =argmaxSCW ∏ P(fw|SCW)P(SCW)fw ϵ FS (6) After the declaration of the error, the extracted confused word set will be provided as suggestion list. The SCW will be sorted by their probability. The word with maximum pro... |
<s>gained 90% accuracy on average in our trained corpus. Table II shows the entire performance outcome on testing data. TABLE VI. PERFORMANCE ON TRAINING DATA Name of the Dataset No of Sentence No of Error Word No of Detected word as Error Accuracy Corpus 1 7115 6160 5609 91.05% Corpus 2 8156 7124 6356 89.21% Corpus 3 ... |
<s>5-Gram Information” Computer and Information Science, Vol. 5, No. 3, May 2012 [7] K. W. Church and W. A. Gale, “A spelling correction program based on a noisy channel model,” COLING '90 Proceedings of the 13th conference on Computational linguistics – Volume 2, Pages 205-210,1990. [8] B. B. Chaudhuri, “Reversed word... |
<s>/Cambria-Bold /Cambria-BoldItalic /Cambria-Italic /CambriaMath /Candara /Candara-Bold /Candara-BoldItalic /Candara-Italic /Carta /CaslonOpenfaceBT-Regular /Castellar /CastellarMT /Centaur /Centaur-Italic /Century /CenturyGothic /CenturyGothic-Bold /CenturyGothic-BoldItalic /CenturyGothic-Italic /CenturySchL-Bold /Ce... |
<s>/JasmineUPC-Bold /JasmineUPC-BoldItalic /JasmineUPC-Italic /JoannaMT /JoannaMT-Italic /Jokerman-Regular /JuiceITC-Regular /Kartika /Kaufmann /KaufmannBT-Bold /KaufmannBT-Regular /KidTYPEPaint /KinoMT /KodchiangUPC /KodchiangUPC-Bold /KodchiangUPC-BoldItalic /KodchiangUPC-Italic /KorinnaITCbyBT-Regular /KristenITC-Re... |
<s>/ZapfHumanist601BT-Demi /ZapfHumanist601BT-DemiItalic /ZapfHumanist601BT-Italic /ZapfHumanist601BT-Roman /ZWAdobeF /NeverEmbed [ true /AntiAliasColorImages false /CropColorImages true /ColorImageMinResolution 150 /ColorImageMinResolutionPolicy /OK /DownsampleColorImages true /ColorImageDownsampleType /Bicubic /Color... |
<s>Relational Model of Conceptual Distance between Bangla WordsRelational Model of Conceptual Distance between BanglaWords*Sibansu Mukhopadhyay1, Sreerupa Das2 and Rajkumar Roychoudhury21Department of IT&E, Govt. of WB, Society for Natural Language Technology Research,Kolkata, India; 2Indian Statistical Institute, Kolk... |
<s>sounds means an object or a concept or any kind ofentity that may or may not exist. This is the process of signification, whichis a social phenomenon. We also consider this process as a social phenome-non, oriented to the social structure and thus signifiers (words) have somecommon, socially co-related properties un... |
<s>words aresemantically not very similar. For example, the words like Cow andHorse are not semantically similar to each other, but they are conceptu-ally related in terms of the social contexts. Everyone knows that both areconsidered as domestic animals and historically both cows and horseswere used in agriculture and... |
<s>al., 1998). In a recent work on priming ofBangla words (Dasgupta et al., 2010) a cross-modal priming experimentwas conducted to identify the mental representation and to getaccess strategies for morphologically derived words in Bangla. It isobserved that morphologically transparent words do prime each otherdespite t... |
<s>James Nye, the Bibliographer for Southern Asia, andDirector, South Asia Language and Area Centre, The University of Chicago, informed usthat there are approximately 20,950 headwords in this dictionary. See http://dsal.uchicago.edu/dictionaries/biswas-bengali/.162 S. MUKHOPADHYAY ET AL.http://dsal.uchicago.edu/dictio... |
<s>kumari (unmarried woman) <> bibahita(married woman). Each of the above examples has a distinct set ofsemantic properties, but has also some commonness. All sets have inter-section points, through which one may establish their ontologicalrelationship. Another thing to be noted is that there is a nucleus(abstract/phys... |
<s>in some detail (Figure 2) ismore complex than the first one. What we see in the second tree is thatmountain may be anticipated under two different nodes, but for establishingHuman Com-municationLanguage Symbols MusicSound Word SentenceFig. 1. Conceptual tree for “Language” and “Sentence”.RELATIONAL MODEL OF CONCEPTU... |
<s>not aware of. If we are going to present ontology of the family, wehave to describe the individual members, their positions, the relationshipbetween the members and the possible members through a diagram. Thearrows show the directions by which a human switches her thought fromone object to another.Fig. 3. Ontologica... |
<s>and 2.2 while putting a number againsta pair. To illustrate the scheme further let us consider the pair of words kakand bayOS (cf. Figure 4, the English meaning for both words is “crow”).These words are synonymous and it is expected that the respondent willmeasure the distance as zero or very near to zero. Now consi... |
<s>to individual. We also found strong correlation (r = 0.95)between the two groups as far as mean distance is concerned. Moreover, anequally strong correlation (upper limit being 0.95) is observed within agroup when the participants were asked to duplicate the same task atdifferent points of time. This means the score... |
<s>pakhi andrikSa could possibly be undertaken, we can assumingly calculate someresults. Then for “Goti-probaHo-poribOHon” (movable object or concept),the IC is IC = −log 2160/ 62,500 = 3.36 (medium index).The participants did not find these words close to each other. In a sameway, we have calculated Kak and kokil, whi... |
<s>on a subject on which, to the best of our knowledge, no workhas been done so for in Bangla and very little in other Indian languages.We hope our study will stimulate similar studies in Bangla in particular andIndian languages in general and would be helpful towards building up aproper Bangla WordNet.Fig. 6. Conceptu... |
<s>However, users may print, download, or email articles forindividual use. Abstract 1. Introduction 2. Related Work 3. Conceptual Distance 3.1 Phonetic Similarity 3.2 Relationship Between Synonymous Words 3.3 Conceptual Relation between Words 4. Current Method 5. Experiment 5.1 Semantic Similarity Based on Corpus Ling... |
<s>Syntactico- semantic subject( karta) in BanglaSyntactico- semantic subject (karta) in Bangla Pragati Dhangα, Sanjay Chatterjiα, Tanaya Mukherjee Sarkarα, Sudeshna Sarkarα, , Jayashree Chakrabortyβ Anupam Basuα αDepartment of Computer Science and Engineering, Indian Institute of Technology, Kharagpur βDepartment of H... |
<s>ppt, future- fut, negative- neg. Dhang 3 Some examples of same syntactic role with different bibhakti markers: Karta with nominative marker. 1. রাম ভাত েখল| rAma bhAta khela. Ram rice eat-past. Ram ate rice. Karta with locative marker. 2.মানুেষ কথা বেল| mAnuShe kathA bale. Men-loc word speak. Human beings speak. 3. ... |
<s>different types of karta in Bangla sentences. The first process is to identify the karta and the second one is to classify the karta based on their roles. For annotating kartas of different types, the karta of a sentence is identified and classified on the basis of syntactic and semantic features. The semantic featu... |
<s>semantic informations, the following roles of karta are important.Based on these roles karta is classified into five finer divisions- a. Doer/agent subject /kriyasampadak karta tagged as k1d b. Passive subject/paroksha karta as k1p c. Experiencer subject/Anubhab karta as k1e d. General subject/ sadharan karta as k1m... |
<s>by Rambabu. 18. জনতার �ারা েচারিট মারা পেড়| janatAra dbArA choraTi mArA pa.De. mob-gen by thief-class kill fall The thief gets killed by the mob. 19. ইংেরজ বািহনীর �ারা মারাঠীরা পরািজত হল| i.nreja bAhinIra dbArA mArAthIrA parAjita hala. English army-gen by marathis defeated be-past. The Marathis had been defeated by... |
<s>is very good. 27. েসখােন অেনক েদাকান আেছ| sekhAne aneka dokAna Achhe. There many shops be-pres. There are many shops. Dhang 16 28. এই বািড়িট খুব পুরােনা|<NULL> Ei bA.DiTi khuba purAno <NULL>. This house-class very old. This is heritage house. 29. েখয়াপারাপার িনেষধ িছল| kheYApArApAra niShedha chhila. Boating prohibit... |
<s>কেলজ খুব ভাল| AmAdera kaleja khuba bhAla. Our college very good. Our college is very good. 41. নের�নােথর �িৃতশি� িছল িব�য়কর| NarendranAthera smritishakti chhila bismaYakara. Narendranath –gen memory be- past wonderful. The memory of Narendranath was wonderful. 42. েতামার কাঁধ চওড়া িছল| tomAra kA.Ndha chao.DA chhila.... |
<s>of the verb whether it comes as a main verb or as conjunct verb. Through semantics the nature of the verb indicates the role of the karta. Semantics also indicates whether the karta is animate or inanimate. We have used syntactico-semantic version of the grammar for identifying the karta. Both syntax and semantics a... |
<s>untitled978-1-4799-6399-7/14/$31.00 ©2014 IEEE Feature based Semantic Analyzer for Parsing Bangla Complex and Compound Sentences Parijat Prashun Purohit, Mohammed Moshiul Hoque, Mohammad Kamrul Hassan Chittagong University of Engineering & Technology, Bangladesh Abstract—Semantic analyzer determines the semantic mea... |
<s>domain, semantic analysis records individual words into appropriate objects, and it must create the correct structures to communicate the meaning of the individual words combined with each other. Semantic analysis of Bangla language is a very challenging task due to its varieties of word formation and the ways spoke... |
<s>[20]. A recent work has focused on assigning semantic features for parsing Bangla sentence semantically. However, this work was limited to analyze the Bangla simple sentence alone, and features are designed for limited word categories. Thus, in the previous literatures, semantic analysis of complex and compound sent... |
<s>be mentioned if a feature for a token is not significant or confusing, we can assign (-1) to mean it. Generally there are five categories of Bangla word (i.e., part of speech) are found in Bangla language. Table I shows some semantic features of Noun ( ) category. TABLE I. SEMANTIC FEATURE OF NOUN Words Semantic Fea... |
<s>0 0 Kintu ( ) 1 -1 -1 1 0 O(o) 0 0 -1 0 0 Boroncho ( ) 1 0 -1 1 0 Tai (তাi) 0 0 -1 0 1 D. Rule Generator The most common way to represent grammar is a set of production rules which says how the parts of speech can put together to make grammatical sentences. CSG are the methods of describing language. A set of CFG an... |
<s>complex sentence, “je amake porabe se amar bondhu (েয আমােক পড়ােব েস আমার বnু)”. G. Evaluator The evaluator verifies the correctness of the input sentence on the basis of semantic features. All tokens with appropriate features are stored in the lexicon. After generating the annotated parse tree relevant feature valu... |
<s>poro tahole tumi valo korbe (যিদ তুিম বi পেড়া তাহেল তুিম ভােলা করেব). This figure indicates the semantic features for the input sentence, “jadi tumi boi poro tahole tumi valo korbe (যিদ তুিম বi পেড়া তাহেল তুিম ভােলা করেব)” as follows: যিদ (jadi): [Hon(-1),Num(-1),Hum(-1,Alive(-1,Agent(-1)] তুিম (tumi): [Ani(1),Hum(1... |
<s>length is illustrated in Fig.5. This result reveals that the accuracy of the system varies sharply with increasing word length for both types of sentences. Fig. 6. Analysis of accuracy vs. sentence length. V. CONCLUSION In any language semantic analysis can play a significant role in machine translation and language... |
<s>phrasal EBMT system for translating English to Bengali, Proc. of the Workshop on Language, Artificial Intelligence and Computer Science for Natural Language Processing Applications (LAICS-NLP), 2006. [13] D. Saha and S. Bandyopadhyay, “A semantics-based English-Bengali EBMT system for translating news headlines”, MT... |
<s>/BellGothicStd-Light /BellMT /BellMTBold /BellMTItalic /BerlingAntiqua-Bold /BerlingAntiqua-BoldItalic /BerlingAntiqua-Italic /BerlingAntiqua-Roman /BerlinSansFB-Bold /BerlinSansFBDemi-Bold /BerlinSansFB-Reg /BernardMT-Condensed /BernhardModernBT-Bold /BernhardModernBT-BoldItalic /BernhardModernBT-Italic /BernhardMo... |
<s>/Garamond-Italic /Garamond-LightCondensed /Garamond-LightCondensedItalic /Gautami /GeometricSlab703BT-Light /GeometricSlab703BT-LightItalic /Georgia /Georgia-Bold /Georgia-BoldItalic /Georgia-Italic /GeorgiaRef /Giddyup /Giddyup-Thangs /Gigi-Regular /GillSans /GillSans-Bold /GillSans-BoldItalic /GillSans-Condensed /... |
<s>/Verdana /Verdana-Bold /Verdana-BoldItalic /Verdana-Italic /VerdanaRef /VinerHandITC /Viva-BoldExtraExtended /Vivaldii /Viva-LightCondensed /Viva-Regular /VladimirScript /Vrinda /Webdings /Westminster /Willow /Wingdings2 /Wingdings3 /Wingdings-Regular /WNCYB10 /WNCYI10 /WNCYR10 /WNCYSC10 /WNCYSS10 /WoodtypeOrnaments... |
<s>[612.000 792.000]>> setpagedevice</s> |
<s>untitledPolygot: An Approach Towards Reliable Translation By Name Identification AndMemory Optimization Using Semantic AnalysisMd. Adnanul Islam∗, A. B. M. Alim Al Islam† and Md. Saidul Hoque Anik‡Department of CSE, BUETDhaka 1000, BangladeshEmail: ∗islamadnan2265@gmail.com, †alim razi@cse.buet.ac.bd, ‡onix.hoque@gm... |
<s>ofthe ubiquitous and all-influential World Wide Web is En-glish. English is typically the language of latest-versionapplications and programs and new freeware, shareware,peer-to-peer, social media networks and websites. Manu-als, installation guides and product fact sheets of variousconsumer electronics and entertai... |
<s>proposed a simple technique for synthe-sizing Bengali words. However, they used opennlp tool aftertranslating the Bengali word to corresponding English wordwhich caused erroneous Parts Of Speech (POS) tagging fordifferent words and generated wrong outputs for very simplesentences.Dasgupta et al., [6] proposed to use... |
<s>phrasal sentences which indirectly indicate differentspecial semantic meanings.One of the most challenging tasks is identification ofnames properly as nouns since the names cannot be includedin vocabulary may contain some emphasized tags whichneed to be separated from the name accurately.4.1. MethodologyBasically, t... |
<s>for all the cases. We will come back to this pointlater with relevant examples. However, considering probablefaulty translations for some exceptional cases, we can applythe proposed mechanism for emphasized name identificationeffectively.4.4. Memory OptimizationThis is another important feature of this work. In Ben-... |
<s>sentences. Particularly in this work, we tested oursystem with different emphasized names and verbs withdifferent tenses. A scenario of our experimental results isshown as follows:Figure 6. Example on emphasized name identificationFigure 7. Emphasized name identification resultsFigure 6 and 7 reflect the results of ... |
<s>As wordnet does not have all sufficient informationyet, preparing a Bengali wordnet can be a progres-sive approach.• Developing Opennlp tools of Bengali sentences forparts of speech tagging of Bengali words efficientlyis one of the most crucial tasks in Bengali to Englishtranslation. At present, Opennlp tools can re... |
<s>implemented some important conceptsand features, exploiting and exploring them more, and evenmay be integrating them would be a useful task. Besides,many other creative features still remain to be thoughtof for making the learning easier, faster and importantly,interesting. Considering the limitations of a translato... |
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<s>/SVE <FEFF0041006e007600e4006e00640020006400650020006800e4007200200069006e0073007400e4006c006c006e0069006e006700610072006e00610020006f006d002000640075002000760069006c006c00200073006b006100700061002000410064006f006200650020005000440046002d0064006f006b0075006d0065006e007400200073006f006d0020007000610073007300610072002... |
<s>Measuring Semantic Similarity for Bengali Tweets Using WordNetProceedings of Recent Advances in Natural Language Processing, pages 537–544,Hissar, Bulgaria, Sep 7–9 2015.Measuring Semantic Similarity for Bengali Tweets Using WordNet Dwijen Rudrapal CSE Department NIT Agartala, India dwijen.rudrapal@gmail.com Amitava... |
<s>texts are not hav-ing common information then it is a NOT-Entailed case. In all the above cases X, Y, Z represents a block of information in a given text. The remainder of this paper is organized as follows. Section 2 describes corpus acquisition and annotation process, followed by section 3 introduced WordNet struc... |
<s>the real cor-pus, whereas the majority class is till the direct entailment case. Now an argument could be raised that why these negative examples i.e. PTE-04 type is so essential to include. The ra-tionale is, these negative examples are so im-portant because this is the exclusion set made by annotators despite of h... |
<s>hands properly তরয়োনজু এর হিযোেোকে ওর ও হোি তেল ENG: He was also involved in the Riyanuj mur-der case. Two above cited sentences have a common word ―হোি/hand‖, but the word meaning is differ-ent in two sentences. In the first sentence ―হোি‖ implies a part of human body and in 2sentence ―হোি‖ implies association/invo... |
<s>tweet A and B is 6. Following formula is used to determine the semantic similarity score between tweet A and tweet B. (2) An important point is that the proposed simi-larity value is based on each of the individual word similarity values, so that the overall simi-larity always reflects the influence of each word and... |
<s>for Eng. tweets. 3 http://alt.qcri.org/semeval2015/task1/ 4 http://wordnetcode.princeton.edu/standoff-files/core-wordnet.txt 5 http://www.lextek.com/manuals/onix/stopwords1.html িোঈদী Sighdi আমিুৃয Life- Time েোরোদণ্ড Impris-onment প্রদোন Anou-nced হরিোল Strike জোমোয়োি Jama-yet জোমোয়োি Jama-yet 0 0 0 0 0 1 বনধ Strik... |
<s>the aggregation. Indeed automatic PTE detection for social media text is a challenging problem. Moreover additional NLP resources for a resource scarced language like Bengali are not well developed. Looking at the error types we decided to go for a system can take both the feature input: lexical and syntactic, but d... |
<s>of the nodes using edge weights between adjacent nodes in a graph as an estimator of semantic similarity. The work by (Richardson et al., 1994) has proposed a WordNet based scheme for Hierarchical Concep-tual Graphs (HCG) to measure semantic similari-ty between words. System proposed by (Li et al., 2006), uses a sem... |
<s>no. 2, pp. 254-278, 1993. Dandapat S., Sarkar S. and Basu A ―Auto-matic Part-of-Speech Tagging for Bengali: An approach for Morphologically Rich Languages in a Poor Re-source Scenario‖. In Proceedings of the Associa-tion of Computational Linguistics (ACL 2007), Prague, Czech Republic. Das, A. and Bandyopadhyay, S. ―... |
<s>on Semantic Nets and Corpus Statistics‖. IEEE Transections on Knowledge and Data Engi-neering, Vol. 18, No. 8, 2006. 543Yuhua Li, Zuhair A. Bandar, and David McLean, "An Approach for Measuring Semantic Similarity be-tween Words Using Multiple Information Sources", IEEE Transactions On Knowledge And Data Engineering,... |
<s>Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000Enhancing the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques Arijit Das1, Diganta Saha1 1Department of Computer Science and Engineering, Faculty of Engineering and Technology, Jadavpur University, ... |
<s>Bangla Desh whose mother tongue is Bengali) needs to reset his watch, so he wants to know the accurate time over the web and gives a search "কটা বাােজ?”/katā bāje?/ ”What is the time now?” As of 06.07.2019 at 15:43 google, bing, yahoo all fail to give the answer either they are showing blank result or giving some pa... |
<s>past prediction and accuracy increases over time. It uses a series of statistical algorithms. The result of the system improves over time and not accurate in the first instances. But here human labor and time consumption are much less. Semi-supervised technique tries to take advantage of both the “supervised” and “u... |
<s>method for semantic similarity was first proposed by [7]. Sahni et al. [8] introduced a method in 2014 for measuring semantic similarity of English words. The adopted measures were employed and learned using support vector machines. Jin et al [9] proposed a comprehensive metric of similarity, a method of relatedness... |
<s>ambiguity. First, when a same sentence or query is predicted as different categories by different algorithms in a single run, i.e. “Smriti Irani who is a Bollywood actress, came into politics in 2003”. This sentence can be classified as both “art & culture” and “politics”. It was resolved based on weighted average i... |
<s>VECTOR MACHINE Support Vector Machine or SVM can classify with both linear and non linear classifier. SVM tries to find out hyper plane with maximum margin between sets of objects. Hyper plane is drawn from the knowledge of training set and its associated vector. The training tuples which fall on the hyper plane is ... |
<s>scalable, distributed GPUs and thus initializing deep learning by automating the load of feature extraction. In different machine learning challenges like speech recognition, pattern recognition it showed almost 15 to 20 percent improvement with respect to traditional statistical methods. A Das and D Saha: Enhancing... |
<s>the user query. At each stage the result was evaluated by the method of cross-validation. Then the predicted sentence was passed to the "extractor" program which with the help of knowledge base formed the answer. The same was returned to the user and his satisfaction was recorded to measure the performance of our sy... |
<s>SPLIT This specifies the random seed used when randomizing the data before it is divided up for evaluation purposes. J. OUTPUT ENTROPY EVALUATION MEASURE Entropy evaluation measures are included in the output. K. OUTPUT PREDICTION The classifier’s predictions are remembered, so that they can be visualized. A Das and... |
<s>mean squared error-0.4748 Relative absolute error-69.9227 percent Root relative squared error-94.9762 percent Total Number of Instances-100 So our model identifies 73 Correctly Classified Instances and 27 incorrectly classified Instances. The accuracy of the model is 73 percent and inaccuracy of the model is 27 perc... |
<s>1.3449330093589562 Attrib class=Value2 -1.4873176018858711 Attrib Node2=Value2 -3.4738558540312514 Attrib Node3=Value2 -0.8903481429148983 Attrib Node4=Value2 -3.30524117606012 Attrib Node5=Value2 -1.9954254971320733 Attrib Node6=Value2 -5.043053347446121 Attrib Node7=Value2 -7.272891242499204 Attrib Node8=Value2 3.... |
<s>Knowledge Base a self learning system is the next challenge. This is possible by the way of semi-supervised learning incorporating the human intelligence into the system. Where the output of the system will be verified by the human feedback and in the next iteration it will improve by cognition. The algorithms used,... |
<s>1, pp. 273 – 275, 2018. [3] Duhan N., Nagpal CK, Katuria M. amd Payal, “Semantic similarity between terms for query suggestion,” in Proceedings of 5th ICRITO, vol. 2, no. 2, 2017, pp. 27 – 34. [4] Arijit Das and Diganta Saha, “Improvement of electronic governance and mobile governance in multilingual countries with ... |
<s>and language change: The case of Bengali verb inflections,” in proceedings of ninth meeting of the ACL special interest group in computational morphology and phonology, Prague, 2007, pp.65-74. [20] M. S. Islam, “Research on Bangla language processing in Bangladesh: progress and challenges,” in Proc. 8th internationa... |
<s>An Approach Towards Multilingual Translation By Semantic-Based Verb Identification And Root Word AnalysisAn Approach Towards Multilingual Translation BySemantic-Based Verb Identification And Root WordAnalysisMd. Saidul Hoque AnikDepartment of CSE, BUETDhaka, Bangladesh.onix.hoque@gmail.comMd. Adnanul IslamDepartment... |
<s>which thrive for a trans-lation learning mechanism of their own like, Bengali-Arabic,Hindi-Bengali, Arabic-English, Arabic-Spanish, etc.In this study, we take Bengali to English translation systemas an example to propose a generalised skeleton for multi-lingual translation system. The main focus of this work isverb ... |
<s>for different words and gen-erated wrong outputs for very simple sentences.Kim et al., [4] used syntactic chunks as units of translationfor improving insertion or deletion of words between twodistant languages. However, an example base with alignedchunks in both source and target language is missing in thisapproach.... |
<s>part of vocabu-lary for each language. However, we need to keep in mind thatone verb may have multiple representations based on tense andsubject of a sentence as shown in Fig. 4. The figure shows anexample of different forms taken by each of the two differentverbs, ‘eat’ and ‘play’ in Bengali. We have implemented th... |
<s>database as a single string.C. Levenshtein DistanceOur latest approach (approach 3) emerges from the demandof sustainability to ensure green computation in terms of boththe space complexity and the time complexity. The translationof a verb can be done using hash table which is implementedin this approach.The key-val... |
<s>root wordsmatched root← root list[0]min dist← GetDistance(ModV erbFrom, root list[0])for root in root list dotemp← GetDistance(ModV erbFrom, root)if temp < min dist thenmin dist = tempmatched root = rootreturn matched rootAlgorithm 1, 2, and 3 demonstrates the complete algorithmof the modified Levenshtein distance c... |
<s>the font settings and some other settings to worksuccessfully with Bengali texts in netbeans.We used Sqlite with java for database in our system. Sincewe had to create a Bengali to English dictionary, we neededa database to retrieve the word translations. Therefore, weinstalled Sqlite and aso added a jar file for Sq... |
<s>98-99 percent inthe improved version of the algorithm (preprocessing of verbsbefore distance calculation).However, the most statistical comparison among the threeapproaches can be shown in terms of space complexity. Fig. 13and Fig. 14 graphically shows a comparative evaluation ofthese approaches for different number... |
<s>massively demands wideand complex application of Artificial Intelligence to build upa near-accurate translator which on the contrary, may resultin the degradation of the overall performance of the systemdrastically.Our system currently focuses on Bengali to English transla-tion. However, it has limited knowledge bas... |
<s>See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/329758886Document Concept Hierarchy Generation by Extracting Semantic Tree UsingKnowledge GraphConference Paper · December 2018DOI: 10.1109/WIECON-ECE.2018.8783083CITATIONSREADS1402 authors:Some of the autho... |
<s>presented, which led us to work in thisarea. Section IV and Section V give the preliminary knowledgefollowed by the conceptual design of our approach. Section VIdemonstrates the experimental result of our system. Finally,Section VII concludes the paper.II. Literature ReviewMany researchers worked on the document con... |
<s>it may be possible for humans to under-stand the concepts, but it will not be possible for machines to un-derstand them. This particular requirement is getting universalattention as the present world focuses on parsing and analyzingdata in the minimum unit of time.Furthermore, establishing connections or links betwe... |
<s>in the provided document, tokenposition in a sentence and overall token position in thedocument.2) Coreference Resolution: A combination of heuristic andsupervised methods is used for coreference resolution[21]. It helps to find all expressions that refer to thesame entity. Therefore, our method recursively tracks t... |
<s>the information extracted from the knowledgebases.4) Concept Clustering and Hierarchy Generation: Theextracted information is clustered based on the similarityweight. There are pre-defined cluster tags for all clusterswhich are obtained from DBpedia Ontology. The taxo-nomic representation of extracted information is... |
<s>PAKDD 1999 Workshop on Knowledge Disocoveryfrom Advanced Databases, vol. 8. sn, 1999, pp. 65–70.[5] A. H. Lashkari, F. Mahdavi, and V. Ghomi, “A boolean model in in-formation retrieval for search engines,” in Information Management andEngineering, 2009. ICIME’09. International Conference on. IEEE, 2009,pp. 385–389.[... |
<s>M. Suchanek, G. Kasneci, and G. Weikum, “Yago: A large ontologyfrom wikipedia and wordnet,” Web Semantics: Science, Services andAgents on the World Wide Web, vol. 6, no. 3, pp. 203–217, 2008.[25] G. A. Miller, “Wordnet: a lexical database for english,” Communicationsof the ACM, vol. 38, no. 11, pp. 39–41, 1995.[26] ... |
<s>M.Sc. Engg. (CSE) ThesisDeveloping a Concept-Level Polarity DetectionModel through Generation of a Rule BasedSemantic Parser for Bengali SentencesSubmitted byMd Fazle Rabbi1015052096Supervised byDr. Muhammad Masroor AliSubmitted toDepartment of Computer Science and EngineeringBangladesh University of Engineering and... |
<s>Sentiment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.1.1 Rule Based Approaches . . . . . . . . . . . . . . . . . . . . . . . . 92.1.2 Machine Learning Approaches . . . . . . . . . . . . . . . . . . . . . 102.1.3 Concept Based Approaches . . . . . . . . . . . . . . . . . . . . . . 122.2... |
<s>. . . . . . . . . 243.2.1 Tokenization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243.2.2 POS Tagging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.2.3 Parsing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.3 NLP Resources . . . . . . . . . . . . . . . . . . ... |
<s>. . . . . . . . . . . . 445 Experimental Analysis 475.1 Experimental Setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 475.2 Experimental Data Set . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485.3 Evaluation Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495.4 Re... |
<s>and the net of the Hourglass of Emotions [4]. Since affectivestates go from strongly positive to null to strongly negative, the modelassumes an hourglass shape. . . . . . . . . . . . . . . . . . . . . . . . . . . 142.5 Parse Tree generated by Stanford Parser [5]. . . . . . . . . . . . . . . . . . 163.1 Generation of... |
<s>. . . . . . . . . . . . . . . 495.3 Confusion Matrix for precision and recall. . . . . . . . . . . . . . . . . . . 495.4 Performance of the concept extractor. . . . . . . . . . . . . . . . . . . . . . 515.5 Confusion Matrix for the concept with positive polarity. . . . . . . . . . . 555.6 Confusion Matrix for the co... |
<s>the rapid development of the World Wide Web, human activities over Internet is growingvast. People have an inherent curiosity to discover what others are thinking. Public opinionis also getting importance in every interaction of personal, professional, social and politicalsectors. Online newspaper, blogs, discussion... |
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