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<s>M. (2008). An analysis of statistical models and featuresfor reading difficulty prediction. In Proceedings of the Third Workshop on Innovative Use of NLP forBuilding Educational Applications, (pp. 71–79). Association for Computational Linguistics.Islam, Z., Mehler, A., Rahman, R., and Texttechnology, A. (2012). Text... |
<s>& Kommunikationssysteme, I. (2008). The Readability CheckerDelite: Technical Report. FernUniv., Fak. für Mathematik und Informatik.Zar, J. (1998). Spearman rank correlation. Encyclopedia of Biostatistics.Educ Inf Technol A study of readability of texts in Bangla through machine learning approaches Abstract Introduct... |
<s>Bangla Toxic Comment Classification (Machine Learning and Deep Learning Approach)Proceedings of the SMART–2019, IEEE Conference ID: 46866 8th International Conference on System Modeling & Advancement in Research Trends, 22nd–23rd November, 2019 College of Computing Sciences & Information Technology, Teerthanker Maha... |
<s>use limited to: Western Sydney University. Downloaded on July 26,2020 at 11:54:39 UTC from IEEE Xplore. Restrictions apply. Bangla Toxic Comment Classification (Machine Learning and Deep Learning Approach) Copyright © IEEE–2019 ISBN: 978-1-7281-3245-7 63Table 2: Result of Wikipedia DatasetModel WikipediaP R F1 AUCCN... |
<s>labels.Example 2 is a bit toxic, so we put one to toxic label and zeros to others.But, the third one, Example 3 violating toxic, severe toxic, obscene rules at the same time. So, we put one to those labels and zero to others.By following this technique, we got our own dataset to work on.The comments in dataset based... |
<s>ClassifierClassifier chain is another problem transformation method. We used MultinomialNB on single-labeled problem provided by classifier chain. Accuracy is 52.30%.F. Label Powerset with MultinomialNB ClassifierLabel powerset is a problem transformation approach that transforms a multi-label to a multi-class probl... |
<s>Bangla online conversation. People who are toxic in comments, can be warned even at extreme, can be banned from community. As a result, the community environment with each another will be clean.References[1] Challenges for Toxic Comment Classification: An In-Depth Error Analysis by Betty van Aken, Julian Risch, Ralf... |
<s>Computer and Information Science; Vol. 11, No. 4; 2018 ISSN 1913-8989 E-ISSN 1913-8997 Published by Canadian Center of Science and Education Topic Modelling in Bangla Language: An LDA Approach to Optimize Topics and News Classification Mustakim Al Helal1 & Malek Mouhoub1 1 Department of Computer Science, University ... |
<s>have created our own corpus and proposed the first ever topic modeling tool for Bangla. We are confident that this tool will be very useful to many Bangla speaking users. Several research works have been conducted with LDA for categorizing unclassified texts. The most recent of these works is a generative LDA model ... |
<s>analysis rules were developed based on a heuristic approach [10]. It uses a sentence scoring method to achieve the summarization goal. Although this paper is one of the very few papers that talks about text summarization in Bangla language, the power of topic modelling was not used in any means. Our goal is to apply... |
<s>describe the proposed model in a step by step process. Our main goal from this research is to find a way to extract the topics from our news corpus. A methodology is proposed to find out the right topic a news belongs to. This way each news can be classified in its right category. The proposed model is illustrated i... |
<s>at all. On the other hand, extracting too few topics does not make sense too. A coherence based value is considered for understanding the right number of topics. We have experimented the model with 200 topics along with the aggregated coherence value for these topics as shown in Figure 3. As can be seen, the model r... |
<s>As a human interpreter, we can easily understand that this is a document with the topic ÅAnimal. We may also consider that we have topics k1 and k2. However, the matrix for document vs term probability distribution will look like the following: cis.ccsenet.org Computer and Information Science Vol. 11, No. 4; 2018 wh... |
<s>model. The topic for Trump news is illustrated in Figure 6. 5. Conclusion and Future Work We have demonstrated how topic modelling can be extended with the Bangla language in a large scale. Bangla having a strong online presence over the past few years, there is a lot more to do with it regarding topic modelling and... |
<s>false /AllowTransparency false /AutoPositionEPSFiles true /AutoRotatePages /None /Binding /Left /CalGrayProfile (Dot Gain 20%) /CalRGBProfile (sRGB IEC61966-2.1) /CalCMYKProfile (U.S. Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel 1.4 /CompressObjects /... |
<s>/Legacy /AddBleedMarks false /AddColorBars false /AddCropMarks false /AddPageInfo false /AddRegMarks false /ConvertColors /ConvertToCMYK /DestinationProfileName () /DestinationProfileSelector /DocumentCMYK /Downsample16BitImages true /FlattenerPreset << /PresetSelector /MediumResolution /FormElements false /Generate... |
<s>Bangla Interrogative Sentence Identification from Transliterated Bangla SentencesInternational Conference on Bangla Speech and Language Processing(ICBSLP), 21-22 September, 2018Bangla Interrogative Sentence Identification fromTransliterated Bangla SentencesMd Montaser HamidComputer Science andEngineeringShahjalal Un... |
<s>mark at the end [3]. One important thingis that the question mark at the end of the sentence doesnot necessarily express questioning property all the time. Forinstance, Tomar eto boro spordha?. This sentence expressesexclamation rather than questioning property. Another exampleis that people often omit the Bangla qu... |
<s>answering systems, deep learningis a very aspiring and efficient way. With the formation ofRecurrent Neural Networks(RNN), it is possible to analyzelonger text [8]. Here, RNN models and end-to-end memorynetworks are used for designing question answering system.By forming Convolutional Neural Network of one layer ofC... |
<s>word is present just beforethe last word of the sentence.• Rule 4: The word ”Naki” is considered as a questionword and the sentence with this word follows the previousrules.The findings and results of this approach have given us theinsights that the designing and implementation of rule-basedapproach is not pragmatic... |
<s>I.2) Making Corpus for Learning Based Approaches: Foremploying supervised learning, we have scrutinized the pri-mary corpus and omitted a large number of sentences whichwere very raw in nature and had anomalous content. We havemanually picked out the interrogative and non-interrogativeBangla transliterated sentences... |
<s>1 0.14%8th Word 1 0.14%Just Before the Last Word 52 7.43%other positions. Then we find the mean position of the Banglaquestion words in the sentence which is 1.90. At first, we havetested the corpus according to the rule 1, then gradually weintegrated the other rules and observe the combined effects ofthe other rule... |
<s>of the sentencesof the Cricket Domain Corpus, as a result the accuracy labeldrops. With a standard form of test dataset our model ofclassification will work swiftly but with the standard testdataset the real time variations of the sentences will be ignored.TABLE VDISTRIBUTION OF THE CRICKET DOMAIN CORPUS FOR SUPERVI... |
<s>have discussed the challenges and diffi-culties in the process of designing a system to identify Banglainterrogative sentences from transliterated Bangla sentences.As less works have been done in this area the problemhas remained complex and vast. We have introduced threeapproaches to address the solution of this pr... |
<s>modelling sentences,” arXiv:1404.2188, 2014.[15] P. Liu, X. Qiu, and X. Huang, “Recurrent neural network for textclassification with multi-task learning,” arXiv:1605.05101v1, 2016.[16] “Implementing a CNN for Text Classification in TensorFlow,” [On-line]. Available: http://www.wildml.com/2015/12/implementing-a-cnn-f... |
<s>out.pdfPACLIC 28!309Readability of Bangla News Articles for ChildrenZahurul Islam and Rashedur RahmanAG TexttechnologyInstitut für InformatikGoethe-Universität Frankfurtzahurul@em.uni-frankfurt.de, kamol.sustcse@gmail.comAbstractMany news papers publish articles for chil-dren. Journalists use their experience and ... |
<s>various statistics relating to dif-ferent text features.In this paper, we train a readability classificationmodel using a corpus compiled from textbooks andfeatures inherited from our previous works Islamet al. (2012; 2014) and features from Sinha et al.(2012). Later we use the model to classify Banglanews articles ... |
<s>texts. Recently, in our previous works,we proposed a readability classifier for Bangla usinginformation-theoretic features (Islam et al., 2012; Is-lam et al., 2014). We have achieved an F-Scoreof 86.46% by combining these features with somelexical features. Sinha et al. (2012) proposed tworeadability models that are... |
<s>Therefore, word order playsan important role in text comprehension. Readingis different than understanding a picture, it extractsmeaning from words that are separated by whitespaces. The comprehension process is also influ-enced by the memory system.The cognitive system of humans contains threedifferent memories: se... |
<s>Avg. SL Avg. WLVery easy 234 88.28 7.46 5.27Easy 113 150.46 9.09 5.27Medium 201 197.08 10.35 5.47Difficult 113 251.30 12.19 5.66Table 1: The Training Corpus.al. (2012; 2014), we compile the corpus from thesame source. However, the latest version is morecleaned and contains more documents. It containstexts from 54 te... |
<s>likely to be processed with a fair degreeof automaticity. This automaticity increases read-ing speed and free-memory for higher level meaningbuilding (Crossley et al., 2008).Our previous study, Islam et al. (2014) also listeddifferent type token ratio (TTR) formulas. The TTRindicates lexical density of texts, a high... |
<s>et al(2012). The output of thesemodels are used as input for the readability classifier.Table 3 shows the evaluation results. The classifica-tion accuracy is little over than 66%. In our previ-ous study Islam et al. (2014) found better classifi-cation accuracy using these features. However, thecorpus is slightly dif... |
<s>an article with a lower TTRvalue (See Section 5.1). However, we observe dif-ferent behavior of TTR formulas. Figure 2 showsthe behaviour of different TTR formulas in classi-fied articles. The average TTR value of articles fromvery easy readability class is higher than the averageTTR value of articles from higher dif... |
<s>bankimchandra chattopodhay w.r.t the density of polysyllabicwords. Indian Journal of Linguistics, 22:41–51.Sreerupa Das and Rajkumar Roychoudhury. 2006. Read-abilit modeling and comparison of one and two para-metric fit: a case study in bangla. Journal of Quanta-tive Linguistics, 13(1).Jan De Belder and Marie-Franci... |
<s>and M Murshed. 2013. Tech-nical Challenges and Design Issues in Bangla Lan-guage Processing. IGI Global.Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan,Martin Franz, Radu Florian, Raymond J. Mooney,Salim Roukos, and Chris Welty. 2010. Learning topredict readability using diverse linguistic features. In23rd Intern... |
<s>Daffodil International University LibraryDigital Institutional RepositoryComputer Science and Engineering Undergraduate Project Report2018-05Bangla News Classification UsingMachine LearningAhmad, MostakDaffodil International Universityhttp://hdl.handle.net/20.500.11948/2636Downloaded from http://dspace.library.daffo... |
<s>it has become need to a platform that can easily identify the user’s choice on news and publish only according to their choice. To classify the news by the user’s choice needs to analysis the news text. Lots of works has been done in English news by this time but there have very limited works on Bangla news. These m... |
<s>Confusion Matrix for K–Nearest Neighbors. Table 4.9.5: K –Nearest Neighbors Classified news type. Table 4.9.6: Precision, Recall, F1-Score for K –Nearest Neighbors. Table 4.9.7: Confusion Matrix for Decision Tree Table 4.9.8: Decision Tree classified news type. Table 4.9.9: Precision, Recall, F1-Score for Decision T... |
<s>of the chance to peruse political news than alternate news. A few people get a kick out of the chance to peruse amusement news. It really relies upon one's decision. In any case, now and then, it has turned out to be such a great amount of exhausting to see the news that, really, isn't favored by the client. The new... |
<s>followed as follows Chapter 1 provides the summary of this research based project. Introductory discussion is the key term of this first chapter. Apart from, what motivated us to do such a research based project is explained well in this chapter to. The most important part of this chapter is the Rationale of the Stu... |
<s>testing dataset. At last, these two sub datasets are utilized to manufacture the model. The intension of building such sort of model is to anticipate the class of various s. An exploration group from BRAC University chipped away at such a point. They essentially works in view of N-Gram based order [1]. Text categori... |
<s>are from each of the six categories. These are defined from the 1 year Prothom Alo news corpus. Thus, the total numbers of test cases were 150. List of predefined categories and their content source are following. Figure 2.2.1: List of predefined categories. ©Daffodil International University 8 Procedures of their w... |
<s>by the researchers. 3.3 Data Collection Procedure To look into on particular field, the quick and first thing is the Data. Information is, really, considered as the core of the machine learning process. What's more, for our examination, there has no option of information. In this way, it has turned into our most dif... |
<s>whole news be the collection of ©Daffodil International University 12 only words. Then, every word is checking according to excluded word list. If any word from the dataset is being matched with the excluded word list, then, this word is being removed from the dataset. After checking all words remaining in the datas... |
<s>Our raw data are from the most renowned news portal of Bangladesh named Prothom Alo. We collect our data by using Corpus. After collecting data, news is stored on text document file. In these file, data are present with some html tag name. Our row data looks like: Figure 4.2.1: Experimental raw data. So it has becom... |
<s>University 19 In the concept of percentage, 75% data will be for training and 25% will be for testing. And this will make our expected model, As, we are dealing with several classifier, we use it by importing sklearn package. This classifier can produce an integer that actually means the category of the expected new... |
<s>5 0 5 0 Accident 1 11 13 0 0 0 5 0 0 National 16 30 123 12 9 1 5 211 7 International 1 8 40 3 2 0 0 12 24 Successfully Classified: Table 4.9.5: K –Nearest Neighbors classified news type. No. News Type Successfully Classify 1 Political News 97 2 Crime News 126 3 Sports News 404 4 Entertainment News 53 5 Business News... |
<s>72 0 Life Style 0 0 2 0 0 5 0 6 0 Accident 0 14 2 0 0 0 1 14 0 National 7 20 70 0 3 1 3 312 1 International 0 12 31 0 0 0 0 46 1 ©Daffodil International University 26 Successfully Classified: Table 4.9.11: Random Forest classified news type. No. News Type Successfully Classify 1 Political News 52 2 Crime News 113 3 ... |
<s>Bayes 0.76 K–Nearest Neighbors 0.58 Decision Tree 0.56 Random Forest 0.50 Support Vector Machine 0.75 Table 4.9.19: Compare algorithms accuracy. Algorithms Accuracy Naive Bayes 76.94% K–Nearest Neighbors 56.97% Decision Tree 58.74% Random Forest 56.35% Support Vector Machine 75.41% From the above comparison tables, ... |
<s>news classification using field association words." SCIENCEDOMAIN Int 6.1 (1-9), 2016. [4] Dutta, K., Kaushik, S. and Prakash, N, “Machine learning approach for the classification of demonstrative pronouns for Indirect Anaphora in Hindi News Items”, The Prague Bulletin of Mathematical Linguistics, 95, pp.33-50 , Apr... |
<s>many problem, first one was to determine the methodological approach for our project. It was not traditional work it was a research based project, more over there were not much work done before on this area. So we could not get that much help from anywhere. Another problem was that, collection of data, it was big ch... |
<s>BANGLA LANGUAGE MODE (SADHU/CHOLITO) CLASSIFICATION Abdul Bari Parves ID: 151-15-4879 AND Emranul Haque Rakib ID: 151-15-5049 This Report Presented in Partial Fulfillment of the Requirements for the Degree of Bachelor of Science in Computer Science and Engineering Supervised By Md. Riazur Rahman Senior Lecturer Depa... |
<s>Examiners i Declaration ii Acknowledgment iii Abstract iv CHAPTER PAGE CHAPTER 1: INTRODUCTION 1-2 1.1 Introduction 1 1.2 Motivation 1-2 1.3 Research Questions 2 1.4 Expected Outcome. 2 1.5 Layout of the Report 2 CHAPTER 2: BACKGROUND STUDY 3-5 2.1 Introduction 3 2.2Related Works 2.3 Research Summary 2.4 Challenges ... |
<s>continuously. Text classification is mainly used for extracting information, text retrieval, and summarization. This project will demonstrate the text classification process through machine learning techniques. In our project, for classifying Sadhubhasha and Cholitobhasha, we have first used Term Frequency-Inverse D... |
<s>of data and size of data. In few data set, Bernoulli Model showed good performance, especially in small size data set. In contrast, Multinomial Model performed well with large scale datasets [2]. To classify text, Andronicus A. Akinyelu and Aderemi O. Adewumi have proposed a new method in 2014. As people gets hack e... |
<s>different supervised Machine Learning algorithm for classifying. SVM and Random Forest got accuracy 98% and BernoulliNB 97.6% 6. M. Ikonomakis, S. Kotsiantis and V. Tampaka Different Machine learning algorithms Discussed about different machine learning algorithms and techniques. Discussed about algorithms. 7. Timot... |
<s>েক্তরয়াশিি চিাটশবলায় আক্তম এেবার চমহমািী উৎসশব ক্তিশয়ক্তিলাম আজোলোর পাঠে পাঠিোরা চমহমািী শব্দটার সশে পক্তরক্তচত ক্তে িা জাক্তি িা োশজই এেটু বূােূা েশর চিই আশিোর আমশল ক্তবত্তবাি চলােশের এেটা প্রবেতা ক্তিল তাশের ক্তবশত্তর ক্তবেয় অিূশের জািাশিা রাজা বলল ভাল েবর চমম সাব আক্তম লটারী ক্তজশতক্তি চমম সাব আমার টিক্তেশট ... |
<s>For our project we have choose machine learning approach. We first converted our data to vectors using Bag of Words. As Bag of Words has few drawbacks, then we have used IF-TDF for numeric representation of Bangla dataset. After that, we split our dataset into two-part, training and testing. For training and classif... |
<s>And the Inverse Document Frequency is calculated as: IDF (word)= Total number of documentsNumber of documents containing the words (2) Classification Algorithms Random Forest Random forest is a supervised machine learning algorithm mostly use for classification and regression. Random forest is an ensemble learning m... |
<s>we used SVC method. To classify Support vector machine creates a hyperplane in a high dimensional space which allow us to achieve more efficient and accurate classify result. Fig 3.4: Support vector machine creating hyperplane to classify k-nearest neighbors K-nearest neighbors is a non-parametric supervised algorit... |
<s>as Sadhubhasha and Cholitobhasha, how many of them are actually Sadhubhasha and Cholitobhasha instance? High precision means low false positive rate. Precision = 𝑇𝑃+𝐹𝑃 (17) Recall Recall also known as Sensitivity. Recall is the ratio of correctly predicted positive instances to the all instances in actual classe... |
<s>1.00 F1 score 0.99 1.00 Support 100 101 Gaussian Naive Bayes For Gaussian naive Bayes we achieve accuracy of 91.04%. Confusion matrix = [ [88 12] [6 95] ] Table 4.3: result achieved from Gaussian Naive Bayes algorithm Metrics 0 1 Precision 0.94 0.89 Recall 0.88 0.94 F1 score 0.91 0.91 Support 100 101 ©Daffodil Inter... |
<s>getting the accuracy by using the Bag of Words and Term Frequency-Invers Document Frequency for vector representation and from different classifier algorithm, we trained our data and classify it between Sadhubhasha and Cholitobhasha in our research dataset from different novels of Bangla language. We achieved from 9... |
<s>Cheng " An Improved Random Forest Classifier for Text Categorization," journal of computers, vol. 7, no. 12, December 2012. [5].Suresh Merugu, M. Chandra Shekhar Reddy, Ekansh Goyal and Lakshay Piplani, "Text Message Classification Using Supervised Machine Learning Algorithms," International Conference on Communicat... |
<s>2017 20th International Conference of Computer and Information Technology (ICCIT), 22-24 December, 2017Question Classification Using Support VectorMachine with Hybrid Feature Extraction MethodSyed Mehedi Hasan NirobComputer Science and EngineeringShahjalal University ofScience and TechnologySylhet-3114, Bangladeshsm... |
<s>always been achallenging task for the researcher [8]. Some preferred richfeature space for their question classifier. The small-scalefeature set can also be impactful if it is chosen wisely andhead words are one of them [9] [10]. But authors achieved89.2% and 89.0% accuracy using linear SVM and MaximumEntropy models... |
<s>in each question category in our dataset.Number of question asking for a person name is relativelyhigher(21.7%) than other type of question. Then comes lo-cation type question which is 18.4% of our total dataset.Percentage of questions asking for a method of something islowest, only 1.38% of our dataset. This type o... |
<s>word has highimpact on classification system. That’s why we manuallypicked some word closely associated with question categories.These words occur frequently in dataset and system provideshigher accuracy if used as feature. Table III shows main featurewords related to question classes that was defined earlier.There ... |
<s>[19] [20]. Also, besides linear classifi-cation, SVMs can efficiently map input into high-dimensionalfeature spaces which is called kernel trick. That’s why weapplied SVM algorithm in our classifier with kernel trick [21].Given a training set of N data points {yk,xk}Nk=1, where xk isthe kth input pattern and yk is t... |
<s>figure2 shows the performance of SVM using linear kernel for adifferent number of feature. At first, accuracy is very lowfor less number of feature. Then, accuracy increases as thenumber of feature increases and at one point it becomes flatlike an exponential hyperbolic curve. For 1156 most frequentunigram feature w... |
<s>validation accuracy out-performed accuracy of ensemble approach of question clas-sification. Four main classifiers Naive Bayes, Kernel NaiveBayes, Rule Induction and Decision Tree performance wereused. But for the first time, we applied SVM or supportvector machine algorithm to classify Bangla question. SVMalways tr... |
<s>F. W. Ahmad, “A review in featureextraction approach in question classification using support vectormachine,” in Control System, Computing and Engineering (ICCSCE),2014 IEEE International Conference on. IEEE, 2014, pp. 536–541.[9] Z. Huang, M. Thint, and Z. Qin, “Question classification using headwords and their hyp... |
<s>International Conference on Bangla Speech and Language Processing(ICBSLP), 27-28 September, 2019Automatic Detection of Satire in BanglaDocuments: A CNN Approach Based on HybridFeature Extraction ModelArnab Sen SharmaComputer Science and EngineeringShahjalal University ofScience & TechnologySylhet-3114, BangladeshEma... |
<s>F-score of 79.8%[2].Rubin, et al. classifies news as Satires, Fabrications andHoaxing as the parts of fake news [3]. Reyes, et al. usedfigurative language processing for humour and irony detection[4].Ahmad and Tanvir used tockenized, stopword free andstemmed data to classify satire and irony using SVM andgot an accu... |
<s>capture thesemantic value of a word or document. Word2Vec is theprocess of transforming words to vectors preserving someof their syntactical and semantic correlations. Word2Vectries to determine the meaning of a word and understandits correlation with other words by looking at its context.For example, lets take two ... |
<s>per our knowledge there is no good performingWord2Vec model for Bangla. So, we had to create our ownWord2Vec model. To do so, we relied on gensim library ofpython. We needed a lot of textual data to train the model.We used the scrapy library of python to build crawlers andcrawled Bangla textual data from Wikipedia a... |
<s>negative values. CNN input layers actuallytake a 3 dimensional vector. First two dimensions representsthe 2D image and the third dimension is the number of filters.For coloured images the number of filters is 3(Red, Green,Blue) and each pixel value of image is formed with 3 valuesin RGB system. Our strategy to handl... |
<s>Science, 2015.[4] Reyes, Antonio, Paolo Rosso, and Davide Buscaldi. ”From humor recog-nition to irony detection: The figurative language of social media.” Data& Knowledge Engineering 74 (2012): 1-12.[5] Ahmad, Tanvir, et al. ”Satire detection from web documents usingmachine learning methods.” 2014 International Conf... |
<s>Paper Title (use style: paper title)See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/327621770BanglaMusicStylo: A Stylometric Dataset of Bangla Music LyricsConference Paper · September 2018DOI: 10.1109/ICBSLP.2018.8554661CITATIONSREADS3,6242 authors:Some o... |
<s>has adopted. For instance, the ‘Bhatiali’ is a genre of ethnic or folk music which is commonly sung by the boatmen in Bangladesh. The word ‘Bhatiali’ comes from ‘Bhata’ which means downstream. Choice of listening music depends on the lyrics of the songs. On the other hand, lyrics are form of text, which could be eas... |
<s>according to Russell’s emotion model. He extracted features complemented by stylistic, structural and semantic features to identify the arousal and valence categories of each song. In [16] regression analysis and different criteria-wise classification is also applied. X. Hu et al. [14] proposed a text mining method ... |
<s>could be classified in the following genres of Table I. TABLE I. BANGLADESHI MUSIC GENRES Genres Description Classical Classical music is based on modes called rags. Based on various versions of Hindustani classical forms Bangla classical music are adopted. Folk This genre distinguished by simple musical instruments... |
<s>words Bangla sad songs, Bangla celebration songs, Bangla happy songs etc. Apart from the keyword based searches, we have also collected lyrics from the album covers and comment section of YouTube. Many listener try to comment the song lyrics under the YouTube videos if they like the song. We have also gathered some ... |
<s>Vandalism Detection Vandalism detection considered as one-class classification problem applied on textual data [10]. Character level, word level and sentence level features could be used as content features for the classification task. Our proposed dataset could be used for vandalism detection as it contains the lyr... |
<s>to psychological change: Linguistic markers of psychological traits and emotions over time in popular U.S. song lyrics.”, Psychology of Aesthetics, Creativity, and the Arts, vol. 5, pp. 200-207, 2011. [13] A. Jamdar, J. Abraham, K. Khanna, R. Dubey, "Emotion Analysis of Songs based on lyrical and audio features", In... |
<s>informationArticleBangla DeConverter for Extraction of BanglaText fromUniversal Networking LanguageMd. Nawab Yousuf Ali 1, Md. Lizur Rahman 1,* and Golam Sorwar 21 Department of Computer Science and Engineering, East West University, Dhaka 1212, Bangladesh;nawab@ewubd.edu2 School of Business and Tourism, Southern Cr... |
<s>2019, 10, x FOR PEER REVIEW 2 of 16 green’ and the corresponding UNL graph shown in Figure 1.Here, obj_indicates object relation, src_for source (initial state) relation, and gol_for goal (final state), respectively. {unl} obj(change(icl>occur,src>thing,obj>thing,gol>thing).@entry.@present.@complete,colour(icl>kind>... |
<s>experimental results and discussions by extracting a sentence from a UNL expressionusing some generation rules. Finally, Section 8 includes a summary of the paper with someconcluding remarks.2. Related WorksThe structure of UNL–Russian DeCo has been presented by [5]. A DeCo has been developedby [6] for extracting Br... |
<s>Architecture of Bangla DeConverter Figure 2 shows the Architecture of the Bangla DeCo. The structure of a Bangla sentence is similar to that of Hindi and Punjabi sentences [8]. The architecture is based on language-dependent and language-independent components during the text extraction process. A parser is a tool t... |
<s>the morphology stage, morphological analysis is performed by applying morphological rules to amend the Bangla words in the nodes based on the UNL attributes in the inserted UNL expressions and lexicons retrieved from the word dictionary. The morphological analysis is to be performed on the nodes given in (3) using m... |
<s>as moncheUW: stage(icl>place)(5)Information 2019, 10, 324 5 of 17Here, case makers ‘ ট’(ti) and ‘এ(e)’ are combined with Node2 and Node4, respectively based onthe case maker insertion rule. The string of the processing nodes is shown in (6), and the Bangla textproduced by this sequence is shown in (7).Node2 Node4 No... |
<s>+ Verbal Inflexion = Verbখা + ইেতিছ ইেতিছ খাইেতিছThe root ‘খা’ (eat) and verbal inflexion (morpheme) ‘ইেতিছ’ are the headwords of dictionaryentries as follows.[খা] {} “eat(icl>consume>do)” (|R, VR, VEN, VEG1)[ইেতিছ] {} “ “ (VI, VEN, P1, PRS)where, R stands for root, VR for verb roots, VEN for vowel ended, VEG for vo... |
<s>column (The casemaker following the parent node): This column stores the casemakerthat can be inpu ed after the parent node of a given UNL relation in produced output.4. The fourth column (The casemaker preceding the child node): This column stores the casemakerthat can be inpu ed before the child node of a given UN... |
<s>will decidewhich child is to be placed first in the produced output.5.2. Matrix-Based Priority of RelationsWhen a parent node has two or more children in a UNL relation, a matrix-based priority ofrelations is necessary to decide the relative position of children with respect to each other in theproduced output [8].T... |
<s>at the extreme right of all child nodes in the output produced [14,15]. 6. Syntactic Linearization of Simple and Compound Sentences Syntactic linearization of simple and compound sentences is described in this section. 6.1. Syntactic Linearization of Simple Sentence A simple sentence says, ‘She has earned 100 dollar... |
<s>the produced sentence denoted by ‘(N1 L N2)’ then the priority matrix given in Figure 5 should be followed for its syntactic linearization. Ri Rj Ri - L Rj R - Figure 5.Representation of matrix for (N1 L N2) structure. Precedence of a child in a binary relation relies on the frequency of ‘L’ in its row. The child in... |
<s>its Bangla attributes will appear to the final string in the produced output, i.e., the produced output will be ‘ স’ (She).At present, the parent node ‘earn’ of the child ‘she’ will be the active node. The ‘earn’ node has one unprocessed child, i.e., the node ‘dollar’. Thus, the node ‘dollar’ will traverse next and ... |
<s>Node4 Node3 Node1 (11)Bangla sentence: স ১০০ ডলারআয় কেরেছ (12)Pronounced as: Se 100 dollar aye korechhe.Equivalent English sentence: She has earned 100 dollars.6.2. Syntactic Linearization of Compound SentenceA compound sentence is represented in UNL expression as a compound concept. A compoundconcept or a compound ... |
<s>16 that of simple sentences. Consider a sentence say, ‘I will go to university after 40 minutes’. The UNL expression of this sentence is given in (13). I will go to university after 40 min {/org} {unl} agt(go).@entry.@future,i(icl>person)) plt(go.@entry.@future,university(icl>body)) tim(go.@entry.@future,:01)) man:0... |
<s>tim<uw,obj>uw), eat(icl>consume>do), rice(icl>grain> thing) aretheUWs [1]. Typically connected to the primary predicate a ribute @entry and@future denotes futuretense sentence. We use our proposed DeConverter tool for our experiment. UNL expression (18), adictionaries file (Table 1), and a set of generation rules (T... |
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