randomLearner24/179BNLPpaper · Datasets at Hugging Face

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<s>generated summary and ideal summary divided by the number of sentences in the system generated summary. Precision (P) = (A∩B)/A Where `A' denotes that the number of sentences obtained by the summarizer and also `B' denotes the number of relevant sentences compared to target sets. (ii) Recall (R): It is the number of...
<s>of a software system,”in Proceedings of the 14th IEEE International Conference on Program Comprehension (ICPC). IEEE, 2006, pp. 181–190. [2] E. Hovy “Automated Text Summarization”. In: Mitkov, R. (Ed.), the Oxford Handbook of Computational Linguistics. Oxford University Press, 2005, chapter 32, pp. 583-598. [3] D. R...
<s>Opinion Mining of Bengali Review Written with English Character Using Machine Learning Approaches. In: Bindhu V., Chen J., Tavares J. (eds) International Conference on Communication, Computing and Electronics Systems. Lecture Notes in Electrical Engineering, vol 637. Springer, Singapore. https://doi.org/10.1007/978-...
<s>sv-lncsSee discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/321170679Sentence Similarity Estimation for Text Summarization using Deep LearningConference Paper · December 2017CITATIONSREADS4333 authors:Some of the authors of this publication are also working on...
<s>information like: if two or more sentences are either fully matched in lexical form or in semantic form, sentence could be matched partially or we could found any leading sentence. Identifying centroid sentence is one of the major tasks to accomplish [1]. Few sentences can contain some major or important words which...
<s>two phase framework has been represented using semantic triples (Qiu et al., 2006)[14]. Support Vector Machine (SVM) can combine distributional, shallow textual [15]-[17] and knowledge based models using support vector regression model. 3 Proposed Method This Section represents a new proposed sentence similarity mea...
<s>very basic part of text preprocessing modules. Fig.2. Lexical Layer processing of input sentences. Figure 2. states, how lexical steps had been processed, with appropriate example. All the necessary processes as: Lexical analysis, stop words removal and stemming had been done as per the mentioned process. Those sent...
<s>two words. The range of maximum and minimum score is in between {0.00 -1.00}. Table 1. represents the similarity value of words from sentence 1. Wu and Palmer measure (WP) use the WordNet taxonomy to identify the global depth measures (relatedness) of two similar or different concepts or words by measuring edge dist...
<s>Texts are being collected from online resource, for example: wwwo.prothom-alo.com, bdnews24.com, etc. Our python web crawler initially saved all those web (html content) data into notepad file. We have used Python – Natural Language Tool Kit (NLTK: Version– 3) and WS4J (a java API, specially developed for WordNet us...
<s>methods could possibly be a good solution in his regards. 6 Acknowledgment We would like to thanks, Department of Science and Engineering of two universities: Daffodil International University and Comilla University, Bangladesh for facilitating such joint research. References [1] Rafael Ferreira et al. “Assessing Se...
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<s>Paper Title (use style: paper title)See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/338358097An Approach for Bengali Text Summarization using Word2VectorConference Paper · July 2019DOI: 10.1109/ICCCNT45670.2019.8944536CITATIONSREADS1733 authors:Some of th...
<s>vectors of similar words and according to the match it combine them together in vector space. It uses mathematical terms to find out similarities. Without human intervention word2vec can create word vectors. Those vectors are mainly distributed numerical representations, which is similar as word features such as the...
<s>after that evaluated similarity of the w Andi Rexha’s team’s research topic in 2016 was sentiment classification of tweet data using word2vec [8]. They presented a Word2Vec approach in order to autonomously predict the polarity class emotion of a target phrase of a tweet. On the other hand, Shihao Ji, et al worked o...
<s>whitespace, Bengali digits, English character, and punctuation and remove stop words from the text which are unnecessary. Finally, create a clean text with a summary for use as an input of the model B. Word2vec Model Word2vec contains a shallowest neural network use to learn the status of word in a text document. Ea...
<s>the related term of the word. Table1: Similarity of two words Algorithm1 for genism Skip-gram model 1: import model 2: Define Word2Vec(size, window, minimum count, sg, workers, hs, negative) 3: Build vocabulary(input text) 4: Define train(sentences=input text, total examples=length of input text, epochs number) 5: E...
<s>0.967 র ালা 0.959 িূলধারায় 0.954 পস্ট্রে 0.953 মশল্পিন্ত্রী 0.952 অম স্ট্র াস্ট্রগর 0.951 জিজ্ঞাোবাস্ট্রের 0.951 Most Similar word Model Word and Value " রতেতে " CBOW 'োস্ট্রিেন্ট'= 0.922 'িালাইকা'=0.907 'পাচার'= 0.899 'প্রস্ট্রবশ'=0.889 'র ান'=0.881 Skip-Gram 'মডস্ট্রেম্বর'= 0.834, 'মডএেইর'= 0.823 'োত'= 0.804 'ক...
<s>Singapore IEEE - 4567010th ICCCNT 2019 July 6-8, 2019, IIT - Kanpur, Kanpur, India View publication statsView publication statshttps://www.researchgate.net/publication/338358097</s>
<s>untitledAutomatic Bengali News Documents Summarization by Introducing Sentence Frequency and Clustering Md. Majharul Haque, Suraiya Pervin Department of Computer Science & Engineering University of Dhaka Dhaka-1000, Bangladesh Email: mazharul_13@yahoo.com, suraiya@univdhaka.edu Zerina Begum Institute of Information ...
<s>clustered in different groups and selectedfrom all clusters based on their volume. This featurewill maximize the information coverage because of theparticipation of all the clusters in summary preparation.The concept of clustering has already been incorporated in English text summarization [9] but in this proposed m...
<s>document, aggregates them and represents the summary information in text. The aggregation is performed by using k-means approach and candidate summary sentences are selected by applying theme relational graph model. Standard page rank algorithm has been used here. In evaluation, the Precision, Recall and F-Score of ...
<s>for all the sentences at first and then sum-up all the attributes’ value to compute the score of each sentence. Three attributes are considered in this method as follows: 1) term frequency calculation for each sentence, 2) sentence frequency, and 3) existence of numerical data. 1) Term frequency calculation for each...
<s>with the number of clusters constructed for SR equal to 0.09. In this way all the sentences are clustered. But some sentences are there with no similarities with any other and keep these sentences to another one cluster. From the fig. 1, it has been found that the performance of clustering by the SR equal to 0.0 and...
<s>has been implemented along with an existing Bengali text summarization method [19] with a server side scripting language named Hypertext Preprocessor (PHP). To judge the effectiveness of the proposed method, experiments have been conducted on several news articles. In each time, the system generated summary is compa...
<s>Ferreira and Luciano de souza, “A multi-document summarization system based on statistics and linguistic treatment,” Journal of Expert Systems with Applications, Elsevier, vol. 41, issue 13, pp. 5780-5787, 1st October 2014. [4] Yogan Jaya Kumar and Naomie Salim, “Automatic Multi Document Summarization Approaches,” J...
<s>2007. [22] Md. Redowan Mahmud, Mahbuba Afrin, Md. Abdur Razzaque , Ellis Miller, and Joel Iwashige, “A Rule Based Bengali Stemmer,” International Conference on Advances in Computing, Communications and Informatics (ICACCI, 2014. [23] L. Gravano, P. G. Ipeirotis, H. V. Jagadish, N. Koudas, S. Muthukrishnan, L. Pietar...
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<s>See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/315867538An extractive text summarization technique for Bengali document(s) using K-means clustering algorithmConference Paper · January 2017DOI: 10.1109/ICIVPR.2017.7890883CITATIONSREADS3876 authors, includ...
<s>accuracy. It utilizes descriptive (e.g. summarization, clustering, sequence discovery etc.) and predictive (e.g. classification, regression, time series analysis etc.) data mining approaches in order to discover hidden information [5]. As a field of data mining, text summarization is one of the most popular research...
<s>summarization is easier than abstractive summarization to bring out the summary. The common methods for extractive are TF/IDF method, cluster based method, graph theoretic approach, machine learning approach, LSA (Latent Semantic Analysis) method, text summarization with neural networks, automatic text summarization...
<s>using K-means clustering algorithm. M. A. Uddin [18] presented a multi-document text summarization for Bengali text where TF-based technology is used for extracting the most significant contents from a set of Bengali documents. Another work proposed by M. Ibrahim [19] for Bengali document summarization which is base...
<s>skeleton word, then increase, SC:=SC+1. xiii. CHECK: = CHECK+1, goto step (iv) xiv. Store the document in a file with scores. xv. COUNT:=COUNT-1 xvi. [Check for another document to calculate sentence score] If COUNT! = 0, then goto step (ii) Else, go to step (xvii). xvii. Sort the stored sentence scores in decreasin...
<s>( + 1) where, TF=Term Frequency =Number of occurrence of the word in the sentence S =Inverse document frequency N=Total number of the sentences in the text =Number of sentences in which word occurs • Sentence scoring (SC): = ∑ + PV = √ Here, = Position of the sentences & PV =Position value. For example =1, if it is ...
<s>থাকেব।uেdাধনী aনু ােন pধান aিতিথর ভাষেণ pধানমntী েশখ হািসনা বেলেছন, “আiিসিট বয্বহাের ত ণ জনেগা ী িনেয় আমরা ‘লািনর্ং aয্াn আিনর্ং’ pকl চালু কেরিছ। pকেlর আoতায় 50 হাজার ত ণ-ত ণীর pিশkেণর বয্বsা করা হেয়েছ।”িডিজটাল িসিকuিরিট aয্াk-2016 করা হেc জািনেয় েশখ হািসনা বেলন, “আoয়ািম িলগ সরকার েদেশর sােথর্ aথর্ বয্য় কের সাবেমিরন...
<s>(বাসস) জািনেয়েছ, িডিজটাল িবষয়ক নয়াpযুিk o aিভনবt িবষেয় ধারণা o তথয্ আদানpদােনর জনয্ ei েমলা। SC(7) 20.59 40িট মntণালয় িডিজটাল বাংলােদশ িহেসেব কী কী পিরেষবা িদেc তারখঁুিটনািট তুেল ধরা হেব ei েমলায়। SC(8) 20.26 িবjান o pযুিk িনেয় যারা খবর রােখন, তারা িন য়i সামািজক মাধয্মিকংবা নানা ধরেণর খবের েনেছন িডিজটাল oয়াlর্ 2016 ...
<s>2017 সােলর মেধয্ েফার-িজ চালু হেয় যােব বেলo জানান pধানমntী। V. EXPERIMENTAL RESULT AND DISCUSSION The proposed extractive Bengali document(s) summarization technique is implemented using the IDE for Java application, Centroid Cluster Score Sentencem1 = 23.25 29.03 ” িডিজটাল িসিকuিরিট aয্াk-2016 করা হেc জািনেয় েশখ হা...
<s>Author name/ Technique Language type Document type Major Operations K. Sarkar [13] English Multiple Preprocessing, Clustering using cosine similarity, Cluster ordering T.J. Siddiqui [15] English Multiple Preprocessing, Sentence scoring (Feature based), Clustering using syntactic & semantic similarity A. R. Deshpand ...
<s>Vol.2, No. 3, India, 2010. [9] J. Zhang , L. Sun , Q. Zhou, “Cue-based Hub-Authority approach for Multi- document Text Summarization”, IEEE International Conference on Natural Language Processing and Knowledge Engineering, p. 642 – 645, China, 2005. [10] Y. Ouyang, W. Li, Q. Lu, “An Integrated Multi-document Summari...
<s>BACHELOR OF SCIENCE IN COMPUTER SCIENCE AND ENGINEERING Bengali Text Summarization Using TextRank, Fuzzy C-means and Aggregated Scoring Techniques AUTHORS Alvee Rahman Fahim Md Rafiq Ramkrishna Saha Ruhit Rafian SUPERVISOR Mr. Hossain Arif Assistant Professor Department of CSE A thesis submitted to the Department of...
<s>Figures List of Equations List of Tables Nomenclature Chapter 1: Overview 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Thesis Orientation . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.4 ...
<s>. . . . . . . . . 23 Chapter 4: Evaluation and Results 25 4.1 ROUGE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 4.2 Comparative Study and Analysis . . . . . . . . . . . . . . . . . . . 26 4.3 Test Articles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 4.4 Output Summaries . . ...
<s>. . . . . . . . . . . . . . . . . 16 3.8: Formula for Normalizing Cue/Skeleton word Score. . . . . . . . . . . . . . 16 3.9: Formula for Topic Sentence Score. . . . . . . . . . . . . . . . . . . . . . . . 16 3.10: Formula for Normalizing Topic Sentence word Score. . . . . . . . . . . . . 16 3.11: Piecewise function ...
<s>. . . . . . 23 4.1: Number of common sentences in the summaries generated. . . . . . . . . . . 26 4.2: Comparison between F-number, Precision and Recall for Test Article 1. . . . 27 4.3: Comparison between F-number, Precision and Recall for Test Article 2. . . . 27 4.4: Percentage increase in Summary Accuracy. . . ....
<s>the system uses the ROUGE [32] scoring method and later calculates F-Measure to provide an understandable illustrative comparative study. Overview 2 \| P a g e 1.2 Thesis Orientation  Chapter 2 contains the Literature review which talks about previous works done on English and Bengali language. It also contains info...
<s>first introduced by Luhn [9] in 1958 where he proposed the idea of calculating the word frequencies in sentences and later using those to score sentences, ultimately selecting the highest ranked sentences for the summary. In recent years there have been numerous approaches toward automatic text summarization. Some o...
<s>He only used a single reference summary generated from LEAD baseline for evaluation which undermines the accuracy of the summarizer. Sarkar further continued his research [3] and used other systems such as System3, Baseline system2 to generate reference summaries for comparison. A more rigorous research was done by ...
<s>derived from the PageRank algorithm [25]. PageRank was primarily introduced to rank the web pages which appear in online search results. In order to rank the web pages, probabilities of a user visiting a page is considered and a score is calculated. With these probability values, a matrix is initialized and the valu...
<s>Bengali Text and news articles by the extractive method into concise and meaningful texts. Proposed Model 8 \| P a g e 9 \| P a g e Chapter 3 Proposed Model 3.1 System Workflow The system proposed in this paper uses three popular text summarization methodologies to summarize Bengali text documents and provides a compa...
<s>Section 3.3 the test articles given are two news articles taken from the Daily Prothom Alo website. 3.2.2 Preprocessing Bengali language processing have not been as widely popular as English language processing, hence Bengali does not have any sort of libraries like NLTK that is readily available for Proposed Model ...
<s>গে অজটাবজরই তেজের দাে বযাজরেপ্রতে ৭৬ ডোজর উজেতিে। গে অজটাবজরই তেজের দাে বযাজরেপ্রতে ৭৬ ডোজর উজেতিে। শুক্রবার এই তেজের দাে কজেজি ৫ দশ্তেক ৫ শ্োাংশ্। শুক্রবার তেজের দাে কজেজি ৫ দশ্তেক ৫ শ্োাংশ্। 3. Paragraph Splitting An article contains multiple paragraphs and this system is built such that, it separates each par...
<s>vague, bringing unwanted information to the reader. Score(s3) = 𝐿𝑒𝑛𝑔𝑡ℎ(𝑠3)𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝐿𝑒𝑛𝑔𝑡ℎ 𝑜𝑓 𝑆𝑒𝑛𝑡𝑒𝑛𝑐𝑒 𝑖𝑛 𝑡𝑒𝑥𝑡 3.5 After scoring each sentence the values are normalized to meet the algorithm’s required ranges of 0-1. To do this, a piecewise function was used 𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑆𝑐𝑜𝑟...
<s>0.1 ∗ 𝑡𝑜𝑡𝑎𝑙 𝑛𝑜. 𝑜𝑓 𝑠𝑒𝑛𝑡𝑒𝑛𝑐𝑒𝑠 𝑖𝑛 𝑎 𝑝𝑎𝑟𝑎𝑔𝑟𝑎𝑝ℎ 𝑆(𝑖) = 1 𝑖𝑓 𝑝𝑜𝑠𝑖𝑡𝑖𝑜𝑛 𝑜𝑓 𝑠𝑒𝑛𝑡𝑒𝑛𝑐𝑒 𝑖 ≥ 0.9 ∗ 𝑡𝑜𝑡𝑎𝑙 𝑛𝑜. 𝑜𝑓 𝑠𝑒𝑛𝑡𝑒𝑛𝑐𝑒𝑠 𝑖𝑛 𝑎 𝑝𝑎𝑟𝑎𝑔𝑟𝑎𝑝ℎ𝑆(𝑖) = 0 𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒 3.11 Table 3.3: Score table of the score for test Article 1 Sentence Number TF-IDF ...
<s>the test Article 1. Table 3.4: PCA Score table for Test Article 1 Sentence Number Principal Component 1 Principal Component 2 1 -1.12037 -1.04909 2 -1.27738 -0.20211 3 1.830519 2.160945 4 -0.48953 0.00867 5 2.031563 -0.35554 6 0.052385 1.816605 7 -1.32648 -0.84062 8 2.128207 -0.64812 9 2.502514 -1.58377 10 0.777594 ...
<s>cj is the d-dimension centre of the cluster. µij = ∑ (𝑐𝑘=1‖𝑥𝑖−𝑐𝑗‖‖𝑥𝑖−𝑐𝑘‖𝑚−13.14 The FCM algorithm [27] has the following steps:  Initialize U= [uij] matrix randomly, U (0), where U (0) is the initial partition matrix.  At k-step: calculate the centers vectors C(k)=[cj] with U(k) with equation (3.13)  U...
<s>is the traditional method of summarization where all the scores of every sentence are added together, and all the scores are ranked based on the cumulative score of the sentences. A summary length ratio relative to the original text is usually predefined, and the extractive summary is computed by selecting the sente...
<s>g e Chapter 4 Evaluation and Results 4.1 Rouge Recall-Oriented Understudy for Gisting Evaluation (ROUGE) [32] is a metric system to compare machine generated summaries or translation against a reference summaries a.k.a Gold Summary. ROUGE tends to generate a metric value that determines the accuracy of the generated...
<s>for FCM summary than both Aggregate scoring and TextRank. This is backed up by the fact that FCM summary generates more common sentences than both TextRank and Aggregate scoring. FCM generated 2 more relevant sentences than TextRank and Aggregate Scoring, which results in a higher F1 measure. Table 4.3: Comparison b...
<s>শ্ক্তক্ত জ্বাোতে তেজের বাজার রেরো েওোর সম্ভাবো তেই। এফএক্সটিএজের তবজেষক েুকোে ওেুেুগা বজেে, ‘তেজের সরবরাে একতদজক বাড়জি, অেযতদজক চাতেদা কেজি—এই দুই কারজে তেজের বাজাজর তবপয যে তেজে আসজি।’ তেজের দাে এভাজব কোর কারজে অজেজকই েেবুি েজে তগজিে। তসাতসজেি তজোজরজের তেসাব েজে, চেতে প্রাতিজক বড় বড় েেতবজের ক্ষতের পতরোে ৭৭০...
<s>োইজজতরোর েজো তদশ্ ২০২০ সাজের েজযয োজদর অিে দুটি তবশ্বতবদযােেজক তবজশ্বর শ্ীষ য ২০০টির েজযয অিভুযক্তক্তর েক্ষযোো তেয যারে কজরজি। তসাংেুোর তেযাবী তশ্ক্ষাথীরা তসরা গজবষক েজে তদজশ্র উন্নেজে কাজ কজরে তকাংবা তদজশ্র েজে তবজদজশ্ গজবষোে তেযুক্ত েে। ২০১৭ সাজে তসাংেুো তবশ্বতবদযােে ১ োজার ৩৮৫ জেজক ডটজরি উপাতয তদজেজি। এ...
<s>করজেে, োজে তবতেজোগকারীজদর েজে শ্ঙ্কা, তসৌতদ আরব সম্ভবে উৎপাদে তেেে একিা কোজব ো। শুক্রবার ২০১৮ সাজের েজযয তেজের দাে সব যতেম্ন ৫৯ ডোজর তেজে আজস। তেে তকাম্পাতের তশ্োজরর দাে পজড় যাওোে শুক্রবার ডাও সূচজকর োে ১৭৮ পজেে কজে যাে।ইরাজের ওপর তেজষযাজ্ঞা আসজি এই আশ্ঙ্কাে তসৌতদ আরবসে ওজপকভুক্ত তদশ্গুজো তেজের উৎপাদে বাতড়জ...
<s>যাওোে শুক্রবার ডাও সূচজকর োে ১৭৮ পজেে কজে যাে।ইরাজের ওপর তেজষযাজ্ঞা আসজি এই আশ্ঙ্কাে তসৌতদ আরবসে ওজপকভুক্ত তদশ্গুজো তেজের উৎপাদে বাতড়জে তদে। তকন্তু যুক্তরাে এরপর ভারে, চীেসে তবশ্ কজেকটি তদশ্জক ইরাে তথজক তেে তকোর তবোে িাড় তদজে বাজাজর তেজের সরবরাে অজেকিা তবজড় যাে।অেযতদজক ববতশ্বক আতথ যক বাজাজর প্রবৃক্তি তেজে আবারও...
<s>দ্রেুেে সেজে তবশ্বতবদযােেগুজো তথজক একটি তবশ্বতবদযােেজক তবশ্বোজে পতরেে করা ও প্রতেিাজের পতরসর বাড়াজো। প্রতেজবশ্ী তদশ্ ভারে োজদর ২০টি তবশ্বতবদযােেজক তবশ্বোজে তেওোর তঘাষো তদজেজি। এেেতক োইজজতরোর েজো তদশ্ ২০২০ সাজের েজযয োজদর অিে দুটি তবশ্বতবদযােেজক তবজশ্বর শ্ীষ য ২০০টির েজযয অিভুযক্তক্তর েক্ষযোো তেয যারে কজ...
<s>সেজের েজযয োম্বার ওোে তবশ্বতবদযােে েজব তসাংেুো। Aggregate Summary (Article 2) যুক্তরাজজযর সাপ্তাতেক প্রকাশ্ো িাইেস োোর এডুজকশ্ে সােতেকীর সব যজশ্ষ জতরজপ তবজশ্বর শ্ীষ য ১০টি তবশ্বতবদযােজের েজযয চীজের তকাজো তবশ্বতবদযােজের োে তেই। পক্তিো গজবষোতভতিক তবশ্বতবদযােেগুজোর আদজে পতরচাতেে েজে চীজের তসাংেুো তবশ্বতবদযা...
<s>M. (2004, December). Bhasa: A corpus-based information retrieval and summariser for bengali text. In Proceedings of the 7th International Conference on Computer and Information Technology. [2] Uddin, M. N., & Khan, S. A. (2007, December). A study on text summarization techniques and implement few of them for Bangla ...
<s>Information Processing Systems, 13(4). [18] Patil, D. B., & Dongre, Y. V. (2015). A fuzzy approach for text mining. IJ Mathematical Sciences and Computing, 4, 34-43. [19] Dunn, J. C. (1973). A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. [20] Bezdek, J. C. (1981). O...
<s>Sentence Based Topic Modeling using Lexical AnalysisShahinur Rahman1, Shikh Abujar1, S. M. Mazharul Hoque Chowdhury1, Mohd Saifuzzaman1, Syed Akhter Hossain1{shahinur3606, sheikh.cse, mazharul2213, saifuzzaman.cse}@diu.edu.bd, aktarhossain@daffodilvarsity.edu.bd1Department of computer science and engineering, Daffod...
<s>(Rosen-Zvi et al.,2004), tag -topic model(Tsai,2011) and Topic-Link LDA (Liu et al., 2009). All of this work has been done in English. Previously (Geetanjali and Pushpak) analysis Bengali Poet classification and Identification and Amitava and Sivaji (2010) have done to analysis a document and find out Opinion base s...
<s>sentence as a set of independent words. Generally, in Bengali and some other language using space is separator from one word to another word. 4.4 Remove stop words: Stop words are a set of commonly used words in any language which has no actual meaning. It’s just use to make a sentence but doesn’t carry any tangible...
<s>that sentence length is the score for the sentence. This time sentence score will be the number of valid words were used in the sentence. To do that it is necessary to remove determinate, nouns, articles etc. Therefore, a set of clear data will be stored in the sentence. Now it is time to find out the expected topic...
<s>In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp- 1489-1498, Singapore, November. (2017)8. Ruohonen, J.: Classifying Web Exploits with Topic Modeling. In: 28th International Workshop on Database and Expert Systems Applications, DOI. 10.1109, DEXA. 2017.35, Lyon, France (2017)...
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<s>/NOR <FEFF004200720075006b00200064006900730073006500200069006e006e007300740069006c006c0069006e00670065006e0065002000740069006c002000e50020006f0070007000720065007400740065002000410064006f006200650020005000440046002d0064006f006b0075006d0065006e00740065007200200073006f006d002000650072002000650067006e0065007400200066006...
<s>A Novel Training Based Concatenative Bangla Speech Synthesizer Model Firoz Mahmud, MD. Abdullah-al-MAMUN, Mumu Aktar, Shyla Afroge Department of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh. fmahmud.ruet@gmail.com Abstract— In the modern era of information ...
<s>on [1, 2, 7, 8, 9, and 11]. Although different TTS systems have been introduced in different languages efficiently but in Bangla, TTS system is not so rich. Figure 1: A general speech synthesizer model A large database is needed to build a TTS system. So it‟s very difficult to build a TTS system. In past an attempt ...
<s>A speech sound that is produced by comparatively open configuration of the vocal tract, with vibration of the vocal cords but without audible friction and is a unit of the sound system of a language that forms the nucleus of a syllable. For example, অ, আ, ই, ঈ, উ, ঊ, ঋ, এ, ঐ, ঑, ঒। b) Consonant( ন ড): A basic speech...
<s>ক ক ক ক ক ক ক ক ক ক ঘ খ খ খ খ খ খ খ খ খ খ http://en.wikipedia.org/wiki/Concatenationhttp://en.wikipedia.org/wiki/Databasehttp://en.wikipedia.org/wiki/Syllablehttp://en.wikipedia.org/wiki/Wordhttp://en.wikipedia.org/wiki/Phrasehttp://en.wikipedia.org/wiki/Speech_communicationখ খ খ ঙ None চ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ছ ঙ ঙ...
<s>these words, easily keywords can be detected. আ word consists of two keywords আ & \| respectively, ভ ঢ and ঔ ই words consist of ভ , ঢ, ঔ , ই \| So to modeling the training keywords, we can create a passage that each word is consisting of only two keywords. And then separate each keyword from the word of the passage. E...
<s>ক ও ঝ । ও ঢও ন ওঢ ন এই দ দ ও দ ঢ ও দঔ য ৞ চ ঞ, ৞ , ঢ ড ভঢ অ ড আ - এ ন ভ ।” as a text. B. Text normalization rule From the inputted text the string is normalized according to the punctuator and thus at first text is divided into three parts according to the fullstop (দ ড়). First part is “আ দ দ ন দ ”, second part is “...
<s>ratio 2:1 for segmenting a recorded word. The following table (Table 4) shows the file segmentation example for various keywords. Here, L represents total length of the audio file, LA represents length of a keyword after segmentation and LO represents length of a keyword before segmentation. Figure 6 shows error rat...
<s>to synthesize speech with arbitrarily given text and speaker‟s voice characteristics. The performance of this Bangla speech synthesizer system was measured by listening tests. Listening of single vowel, consonant and digits was fully identified. So in this case it provides 100% accuracy to identify the words correct...
<s>MARY:A Tool for Research,” Development and Teaching. Institute of Phonetics, University of the Saarland, Saarbr ¨ ucken, Germany. [12] Firoj Alam, S.M. Murtoza Habib, and Mumit Khan, “Text normalization system for Bangla,” Proc. of Conf. on Language and Technology, Lahore, pp. 22-24, 2009. [13] T. Yoshimura, K. Toku...
<s>Preparation_InstructionI.J. Information Engineering and Electronic Business, 2019, 2, 1-9 Published Online March 2019 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijieeb.2019.02.01 Copyright © 2019 MECS I.J. Information Engineering and Electronic Business, 2019, 2, 1-9 Text to Speech Synthesis for Bangla Langua...
<s>is the seventh most popular language in the world and spoken by a population that now exceeds 250 million [16]. Bangla is the primary spoken language in Bangladesh and the second most spoken language in India [4]. Several researches were conducted in Bangla speech synthesis but these are not enough to build a comple...
<s>A pitch synchronous waveform processing technique for text-to-speech synthesis using diphones was presented in [19]. In this paper, several algorithms were reviewed in a common framework to improve the voice quality of a text-to-speech synthesis system. The framework was developed based on acoustical units concatena...
<s>the input text. Text to Speech Synthesis for Bangla Language 3 Copyright © 2019 MECS I.J. Information Engineering and Electronic Business, 2019, 2, 1-9 Fig.1. Architecture of Bangla text to speech synthesis system IV. TEXT NORMALIZATION A text document contains not only full words but also various other language uni...
<s>বত্রিশ ”. B. Date normalization According to the national and official Calendar of Bangladesh, the date format is “দদ-মম-বববব” (dd-mm-yyyy). A text is identified as a date unit, if it contains a one to thirty-one, following a separator and a one- or two-digit number denoting a month ranged from one to twelve with th...
<s>তারিখে বাাংলাদেশ ক্রিকেট দল শ্রীলঙ্কা সফর করে। ২/৩/২০১৭ দুই মার্চ দুই হাজার বার The last two digits make a group and the rest digits make another group and the word “মশা” (sho) is added to the last group. For example, 1971 will be pronounced as “উতনশখশা একাত্তি” (unissho ekattor). And, if the year is like 10XX or 20...
<s>I.J. Information Engineering and Electronic Business, 2019, 2, 1-9 If a text has +880 following 1 or 96 and an eight-digit number, it will be recognized as a phone number. When dialing inside Bangladesh, the country code is not necessary. In that situation, if a text has 1 or 96 following an eight-digit number, it w...
<s>romanized to Latin scripts. We have designed romanization rules based on vowel and consonant combinations. Some of the rules are described below: 1. The vowels are romanized directly according to its corresponding romanized form (table 5). 2. If a consonant is in the last position of a word, it is replaced according...
<s>can parse data from the xml data tree (Fig.2). For example, if a user wants to get all the date, by parsing the xml s/he can get all the date. Fig.2. XML data presentation IX. EXPERIMENTAL EVALUATION To produce output speech, input text is taken from different sources. The sources of input texts are daily newspaper,...
<s>পোশাক , খালি পা—কাউকে বলে দিতে হয় না। যে বাড়িতে শোকের ঘটনা ঘটেছে , ঘটেছে , সেখানেও দেখা যায় স্বজন হারানো মানুষেরা শোকের প্রাথমিক ধাক্কা সামলে নিজের পরনের পোশাকটি বদলে সাদা বা কালো পোশাক পরে পরে শামিল হচ্ছেন শেষযাত্রায় । আসলে পরিবেশ-পরিস্থিতি , আবেগ-অনুভূতি বলে দিচ্ছে ওই সময়ে কোন রাং থাকবে পরনে । sada o kalo. jodi b...

<s>generated summary and ideal summary divided by the number of sentences in the system generated summary. Precision (P) = (A∩B)/A Where `A' denotes that the number of sentences obtained by the summarizer and also `B' denotes the number of relevant sentences compared to target sets. (ii) Recall (R): It is the number of...

<s>of a software system,”in Proceedings of the 14th IEEE International Conference on Program Comprehension (ICPC). IEEE, 2006, pp. 181–190. [2] E. Hovy “Automated Text Summarization”. In: Mitkov, R. (Ed.), the Oxford Handbook of Computational Linguistics. Oxford University Press, 2005, chapter 32, pp. 583-598. [3] D. R...

<s>Opinion Mining of Bengali Review Written with English Character Using Machine Learning Approaches. In: Bindhu V., Chen J., Tavares J. (eds) International Conference on Communication, Computing and Electronics Systems. Lecture Notes in Electrical Engineering, vol 637. Springer, Singapore. https://doi.org/10.1007/978-...

<s>sv-lncsSee discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/321170679Sentence Similarity Estimation for Text Summarization using Deep LearningConference Paper · December 2017CITATIONSREADS4333 authors:Some of the authors of this publication are also working on...

<s>information like: if two or more sentences are either fully matched in lexical form or in semantic form, sentence could be matched partially or we could found any leading sentence. Identifying centroid sentence is one of the major tasks to accomplish [1]. Few sentences can contain some major or important words which...

<s>two phase framework has been represented using semantic triples (Qiu et al., 2006)[14]. Support Vector Machine (SVM) can combine distributional, shallow textual [15]-[17] and knowledge based models using support vector regression model. 3 Proposed Method This Section represents a new proposed sentence similarity mea...

<s>very basic part of text preprocessing modules. Fig.2. Lexical Layer processing of input sentences. Figure 2. states, how lexical steps had been processed, with appropriate example. All the necessary processes as: Lexical analysis, stop words removal and stemming had been done as per the mentioned process. Those sent...

<s>two words. The range of maximum and minimum score is in between {0.00 -1.00}. Table 1. represents the similarity value of words from sentence 1. Wu and Palmer measure (WP) use the WordNet taxonomy to identify the global depth measures (relatedness) of two similar or different concepts or words by measuring edge dist...

<s>Texts are being collected from online resource, for example: wwwo.prothom-alo.com, bdnews24.com, etc. Our python web crawler initially saved all those web (html content) data into notepad file. We have used Python – Natural Language Tool Kit (NLTK: Version– 3) and WS4J (a java API, specially developed for WordNet us...

<s>methods could possibly be a good solution in his regards. 6 Acknowledgment We would like to thanks, Department of Science and Engineering of two universities: Daffodil International University and Comilla University, Bangladesh for facilitating such joint research. References [1] Rafael Ferreira et al. “Assessing Se...

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<s>Paper Title (use style: paper title)See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/338358097An Approach for Bengali Text Summarization using Word2VectorConference Paper · July 2019DOI: 10.1109/ICCCNT45670.2019.8944536CITATIONSREADS1733 authors:Some of th...

<s>vectors of similar words and according to the match it combine them together in vector space. It uses mathematical terms to find out similarities. Without human intervention word2vec can create word vectors. Those vectors are mainly distributed numerical representations, which is similar as word features such as the...

<s>after that evaluated similarity of the w Andi Rexha’s team’s research topic in 2016 was sentiment classification of tweet data using word2vec [8]. They presented a Word2Vec approach in order to autonomously predict the polarity class emotion of a target phrase of a tweet. On the other hand, Shihao Ji, et al worked o...

<s>whitespace, Bengali digits, English character, and punctuation and remove stop words from the text which are unnecessary. Finally, create a clean text with a summary for use as an input of the model B. Word2vec Model Word2vec contains a shallowest neural network use to learn the status of word in a text document. Ea...

<s>the related term of the word. Table1: Similarity of two words Algorithm1 for genism Skip-gram model 1: import model 2: Define Word2Vec(size, window, minimum count, sg, workers, hs, negative) 3: Build vocabulary(input text) 4: Define train(sentences=input text, total examples=length of input text, epochs number) 5: E...

<s>0.967 র ালা 0.959 িূলধারায় 0.954 পস্ট্রে 0.953 মশল্পিন্ত্রী 0.952 অম স্ট্র াস্ট্রগর 0.951 জিজ্ঞাোবাস্ট্রের 0.951 Most Similar word Model Word and Value " রতেতে " CBOW 'োস্ট্রিেন্ট'= 0.922 'িালাইকা'=0.907 'পাচার'= 0.899 'প্রস্ট্রবশ'=0.889 'র ান'=0.881 Skip-Gram 'মডস্ট্রেম্বর'= 0.834, 'মডএেইর'= 0.823 'োত'= 0.804 'ক...

<s>Singapore IEEE - 4567010th ICCCNT 2019 July 6-8, 2019, IIT - Kanpur, Kanpur, India View publication statsView publication statshttps://www.researchgate.net/publication/338358097</s>

<s>untitledAutomatic Bengali News Documents Summarization by Introducing Sentence Frequency and Clustering Md. Majharul Haque, Suraiya Pervin Department of Computer Science & Engineering University of Dhaka Dhaka-1000, Bangladesh Email: mazharul_13@yahoo.com, suraiya@univdhaka.edu Zerina Begum Institute of Information ...

<s>clustered in different groups and selectedfrom all clusters based on their volume. This featurewill maximize the information coverage because of theparticipation of all the clusters in summary preparation.The concept of clustering has already been incorporated in English text summarization [9] but in this proposed m...

<s>document, aggregates them and represents the summary information in text. The aggregation is performed by using k-means approach and candidate summary sentences are selected by applying theme relational graph model. Standard page rank algorithm has been used here. In evaluation, the Precision, Recall and F-Score of ...

<s>for all the sentences at first and then sum-up all the attributes’ value to compute the score of each sentence. Three attributes are considered in this method as follows: 1) term frequency calculation for each sentence, 2) sentence frequency, and 3) existence of numerical data. 1) Term frequency calculation for each...

<s>with the number of clusters constructed for SR equal to 0.09. In this way all the sentences are clustered. But some sentences are there with no similarities with any other and keep these sentences to another one cluster. From the fig. 1, it has been found that the performance of clustering by the SR equal to 0.0 and...

<s>has been implemented along with an existing Bengali text summarization method [19] with a server side scripting language named Hypertext Preprocessor (PHP). To judge the effectiveness of the proposed method, experiments have been conducted on several news articles. In each time, the system generated summary is compa...

<s>Ferreira and Luciano de souza, “A multi-document summarization system based on statistics and linguistic treatment,” Journal of Expert Systems with Applications, Elsevier, vol. 41, issue 13, pp. 5780-5787, 1st October 2014. [4] Yogan Jaya Kumar and Naomie Salim, “Automatic Multi Document Summarization Approaches,” J...

<s>2007. [22] Md. Redowan Mahmud, Mahbuba Afrin, Md. Abdur Razzaque , Ellis Miller, and Joel Iwashige, “A Rule Based Bengali Stemmer,” International Conference on Advances in Computing, Communications and Informatics (ICACCI, 2014. [23] L. Gravano, P. G. Ipeirotis, H. V. Jagadish, N. Koudas, S. Muthukrishnan, L. Pietar...

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<s>See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/315867538An extractive text summarization technique for Bengali document(s) using K-means clustering algorithmConference Paper · January 2017DOI: 10.1109/ICIVPR.2017.7890883CITATIONSREADS3876 authors, includ...

<s>accuracy. It utilizes descriptive (e.g. summarization, clustering, sequence discovery etc.) and predictive (e.g. classification, regression, time series analysis etc.) data mining approaches in order to discover hidden information [5]. As a field of data mining, text summarization is one of the most popular research...

<s>summarization is easier than abstractive summarization to bring out the summary. The common methods for extractive are TF/IDF method, cluster based method, graph theoretic approach, machine learning approach, LSA (Latent Semantic Analysis) method, text summarization with neural networks, automatic text summarization...

<s>using K-means clustering algorithm. M. A. Uddin [18] presented a multi-document text summarization for Bengali text where TF-based technology is used for extracting the most significant contents from a set of Bengali documents. Another work proposed by M. Ibrahim [19] for Bengali document summarization which is base...

<s>skeleton word, then increase, SC:=SC+1. xiii. CHECK: = CHECK+1, goto step (iv) xiv. Store the document in a file with scores. xv. COUNT:=COUNT-1 xvi. [Check for another document to calculate sentence score] If COUNT! = 0, then goto step (ii) Else, go to step (xvii). xvii. Sort the stored sentence scores in decreasin...

<s>( + 1) where, TF=Term Frequency =Number of occurrence of the word in the sentence S =Inverse document frequency N=Total number of the sentences in the text =Number of sentences in which word occurs • Sentence scoring (SC): = ∑ + PV = √ Here, = Position of the sentences & PV =Position value. For example =1, if it is ...

<s>থাকেব।uেdাধনী aনু ােন pধান aিতিথর ভাষেণ pধানমntী েশখ হািসনা বেলেছন, “আiিসিট বয্বহাের ত ণ জনেগা ী িনেয় আমরা ‘লািনর্ং aয্াn আিনর্ং’ pকl চালু কেরিছ। pকেlর আoতায় 50 হাজার ত ণ-ত ণীর pিশkেণর বয্বsা করা হেয়েছ।”িডিজটাল িসিকuিরিট aয্াk-2016 করা হেc জািনেয় েশখ হািসনা বেলন, “আoয়ািম িলগ সরকার েদেশর sােথর্ aথর্ বয্য় কের সাবেমিরন...

<s>(বাসস) জািনেয়েছ, িডিজটাল িবষয়ক নয়াpযুিk o aিভনবt িবষেয় ধারণা o তথয্ আদানpদােনর জনয্ ei েমলা। SC(7) 20.59 40িট মntণালয় িডিজটাল বাংলােদশ িহেসেব কী কী পিরেষবা িদেc তারখঁুিটনািট তুেল ধরা হেব ei েমলায়। SC(8) 20.26 িবjান o pযুিk িনেয় যারা খবর রােখন, তারা িন য়i সামািজক মাধয্মিকংবা নানা ধরেণর খবের েনেছন িডিজটাল oয়াlর্ 2016 ...

<s>2017 সােলর মেধয্ েফার-িজ চালু হেয় যােব বেলo জানান pধানমntী। V. EXPERIMENTAL RESULT AND DISCUSSION The proposed extractive Bengali document(s) summarization technique is implemented using the IDE for Java application, Centroid Cluster Score Sentencem1 = 23.25 29.03 ” িডিজটাল িসিকuিরিট aয্াk-2016 করা হেc জািনেয় েশখ হা...

<s>Author name/ Technique Language type Document type Major Operations K. Sarkar [13] English Multiple Preprocessing, Clustering using cosine similarity, Cluster ordering T.J. Siddiqui [15] English Multiple Preprocessing, Sentence scoring (Feature based), Clustering using syntactic & semantic similarity A. R. Deshpand ...

<s>Vol.2, No. 3, India, 2010. [9] J. Zhang , L. Sun , Q. Zhou, “Cue-based Hub-Authority approach for Multi- document Text Summarization”, IEEE International Conference on Natural Language Processing and Knowledge Engineering, p. 642 – 645, China, 2005. [10] Y. Ouyang, W. Li, Q. Lu, “An Integrated Multi-document Summari...

<s>BACHELOR OF SCIENCE IN COMPUTER SCIENCE AND ENGINEERING Bengali Text Summarization Using TextRank, Fuzzy C-means and Aggregated Scoring Techniques AUTHORS Alvee Rahman Fahim Md Rafiq Ramkrishna Saha Ruhit Rafian SUPERVISOR Mr. Hossain Arif Assistant Professor Department of CSE A thesis submitted to the Department of...

<s>Figures List of Equations List of Tables Nomenclature Chapter 1: Overview 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Thesis Orientation . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.4 ...

<s>. . . . . . . . . 23 Chapter 4: Evaluation and Results 25 4.1 ROUGE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 4.2 Comparative Study and Analysis . . . . . . . . . . . . . . . . . . . 26 4.3 Test Articles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 4.4 Output Summaries . . ...

<s>. . . . . . . . . . . . . . . . . 16 3.8: Formula for Normalizing Cue/Skeleton word Score. . . . . . . . . . . . . . 16 3.9: Formula for Topic Sentence Score. . . . . . . . . . . . . . . . . . . . . . . . 16 3.10: Formula for Normalizing Topic Sentence word Score. . . . . . . . . . . . . 16 3.11: Piecewise function ...

<s>. . . . . . 23 4.1: Number of common sentences in the summaries generated. . . . . . . . . . . 26 4.2: Comparison between F-number, Precision and Recall for Test Article 1. . . . 27 4.3: Comparison between F-number, Precision and Recall for Test Article 2. . . . 27 4.4: Percentage increase in Summary Accuracy. . . ....

<s>the system uses the ROUGE [32] scoring method and later calculates F-Measure to provide an understandable illustrative comparative study. Overview 2 | P a g e 1.2 Thesis Orientation  Chapter 2 contains the Literature review which talks about previous works done on English and Bengali language. It also contains info...

<s>first introduced by Luhn [9] in 1958 where he proposed the idea of calculating the word frequencies in sentences and later using those to score sentences, ultimately selecting the highest ranked sentences for the summary. In recent years there have been numerous approaches toward automatic text summarization. Some o...

<s>He only used a single reference summary generated from LEAD baseline for evaluation which undermines the accuracy of the summarizer. Sarkar further continued his research [3] and used other systems such as System3, Baseline system2 to generate reference summaries for comparison. A more rigorous research was done by ...

<s>derived from the PageRank algorithm [25]. PageRank was primarily introduced to rank the web pages which appear in online search results. In order to rank the web pages, probabilities of a user visiting a page is considered and a score is calculated. With these probability values, a matrix is initialized and the valu...

<s>Bengali Text and news articles by the extractive method into concise and meaningful texts. Proposed Model 8 | P a g e 9 | P a g e Chapter 3 Proposed Model 3.1 System Workflow The system proposed in this paper uses three popular text summarization methodologies to summarize Bengali text documents and provides a compa...

<s>Section 3.3 the test articles given are two news articles taken from the Daily Prothom Alo website. 3.2.2 Preprocessing Bengali language processing have not been as widely popular as English language processing, hence Bengali does not have any sort of libraries like NLTK that is readily available for Proposed Model ...

<s>গে অজটাবজরই তেজের দাে বযাজরেপ্রতে ৭৬ ডোজর উজেতিে। গে অজটাবজরই তেজের দাে বযাজরেপ্রতে ৭৬ ডোজর উজেতিে। শুক্রবার এই তেজের দাে কজেজি ৫ দশ্তেক ৫ শ্োাংশ্। শুক্রবার তেজের দাে কজেজি ৫ দশ্তেক ৫ শ্োাংশ্। 3. Paragraph Splitting An article contains multiple paragraphs and this system is built such that, it separates each par...

<s>vague, bringing unwanted information to the reader. Score(s3) = 𝐿𝑒𝑛𝑔𝑡ℎ(𝑠3)𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝐿𝑒𝑛𝑔𝑡ℎ 𝑜𝑓 𝑆𝑒𝑛𝑡𝑒𝑛𝑐𝑒 𝑖𝑛 𝑡𝑒𝑥𝑡 3.5 After scoring each sentence the values are normalized to meet the algorithm’s required ranges of 0-1. To do this, a piecewise function was used 𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑆𝑐𝑜𝑟...

<s>0.1 ∗ 𝑡𝑜𝑡𝑎𝑙 𝑛𝑜. 𝑜𝑓 𝑠𝑒𝑛𝑡𝑒𝑛𝑐𝑒𝑠 𝑖𝑛 𝑎 𝑝𝑎𝑟𝑎𝑔𝑟𝑎𝑝ℎ 𝑆(𝑖) = 1 𝑖𝑓 𝑝𝑜𝑠𝑖𝑡𝑖𝑜𝑛 𝑜𝑓 𝑠𝑒𝑛𝑡𝑒𝑛𝑐𝑒 𝑖 ≥ 0.9 ∗ 𝑡𝑜𝑡𝑎𝑙 𝑛𝑜. 𝑜𝑓 𝑠𝑒𝑛𝑡𝑒𝑛𝑐𝑒𝑠 𝑖𝑛 𝑎 𝑝𝑎𝑟𝑎𝑔𝑟𝑎𝑝ℎ𝑆(𝑖) = 0 𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒 3.11 Table 3.3: Score table of the score for test Article 1 Sentence Number TF-IDF ...

<s>the test Article 1. Table 3.4: PCA Score table for Test Article 1 Sentence Number Principal Component 1 Principal Component 2 1 -1.12037 -1.04909 2 -1.27738 -0.20211 3 1.830519 2.160945 4 -0.48953 0.00867 5 2.031563 -0.35554 6 0.052385 1.816605 7 -1.32648 -0.84062 8 2.128207 -0.64812 9 2.502514 -1.58377 10 0.777594 ...

<s>cj is the d-dimension centre of the cluster. µij = ∑ (𝑐𝑘=1‖𝑥𝑖−𝑐𝑗‖‖𝑥𝑖−𝑐𝑘‖𝑚−13.14 The FCM algorithm [27] has the following steps:  Initialize U= [uij] matrix randomly, U (0), where U (0) is the initial partition matrix.  At k-step: calculate the centers vectors C(k)=[cj] with U(k) with equation (3.13)  U...

<s>is the traditional method of summarization where all the scores of every sentence are added together, and all the scores are ranked based on the cumulative score of the sentences. A summary length ratio relative to the original text is usually predefined, and the extractive summary is computed by selecting the sente...

<s>g e Chapter 4 Evaluation and Results 4.1 Rouge Recall-Oriented Understudy for Gisting Evaluation (ROUGE) [32] is a metric system to compare machine generated summaries or translation against a reference summaries a.k.a Gold Summary. ROUGE tends to generate a metric value that determines the accuracy of the generated...

<s>for FCM summary than both Aggregate scoring and TextRank. This is backed up by the fact that FCM summary generates more common sentences than both TextRank and Aggregate scoring. FCM generated 2 more relevant sentences than TextRank and Aggregate Scoring, which results in a higher F1 measure. Table 4.3: Comparison b...

<s>শ্ক্তক্ত জ্বাোতে তেজের বাজার রেরো েওোর সম্ভাবো তেই। এফএক্সটিএজের তবজেষক েুকোে ওেুেুগা বজেে, ‘তেজের সরবরাে একতদজক বাড়জি, অেযতদজক চাতেদা কেজি—এই দুই কারজে তেজের বাজাজর তবপয যে তেজে আসজি।’ তেজের দাে এভাজব কোর কারজে অজেজকই েেবুি েজে তগজিে। তসাতসজেি তজোজরজের তেসাব েজে, চেতে প্রাতিজক বড় বড় েেতবজের ক্ষতের পতরোে ৭৭০...

<s>োইজজতরোর েজো তদশ্ ২০২০ সাজের েজযয োজদর অিে দুটি তবশ্বতবদযােেজক তবজশ্বর শ্ীষ য ২০০টির েজযয অিভুযক্তক্তর েক্ষযোো তেয যারে কজরজি। তসাংেুোর তেযাবী তশ্ক্ষাথীরা তসরা গজবষক েজে তদজশ্র উন্নেজে কাজ কজরে তকাংবা তদজশ্র েজে তবজদজশ্ গজবষোে তেযুক্ত েে। ২০১৭ সাজে তসাংেুো তবশ্বতবদযােে ১ োজার ৩৮৫ জেজক ডটজরি উপাতয তদজেজি। এ...

<s>করজেে, োজে তবতেজোগকারীজদর েজে শ্ঙ্কা, তসৌতদ আরব সম্ভবে উৎপাদে তেেে একিা কোজব ো। শুক্রবার ২০১৮ সাজের েজযয তেজের দাে সব যতেম্ন ৫৯ ডোজর তেজে আজস। তেে তকাম্পাতের তশ্োজরর দাে পজড় যাওোে শুক্রবার ডাও সূচজকর োে ১৭৮ পজেে কজে যাে।ইরাজের ওপর তেজষযাজ্ঞা আসজি এই আশ্ঙ্কাে তসৌতদ আরবসে ওজপকভুক্ত তদশ্গুজো তেজের উৎপাদে বাতড়জ...

<s>যাওোে শুক্রবার ডাও সূচজকর োে ১৭৮ পজেে কজে যাে।ইরাজের ওপর তেজষযাজ্ঞা আসজি এই আশ্ঙ্কাে তসৌতদ আরবসে ওজপকভুক্ত তদশ্গুজো তেজের উৎপাদে বাতড়জে তদে। তকন্তু যুক্তরাে এরপর ভারে, চীেসে তবশ্ কজেকটি তদশ্জক ইরাে তথজক তেে তকোর তবোে িাড় তদজে বাজাজর তেজের সরবরাে অজেকিা তবজড় যাে।অেযতদজক ববতশ্বক আতথ যক বাজাজর প্রবৃক্তি তেজে আবারও...

<s>দ্রেুেে সেজে তবশ্বতবদযােেগুজো তথজক একটি তবশ্বতবদযােেজক তবশ্বোজে পতরেে করা ও প্রতেিাজের পতরসর বাড়াজো। প্রতেজবশ্ী তদশ্ ভারে োজদর ২০টি তবশ্বতবদযােেজক তবশ্বোজে তেওোর তঘাষো তদজেজি। এেেতক োইজজতরোর েজো তদশ্ ২০২০ সাজের েজযয োজদর অিে দুটি তবশ্বতবদযােেজক তবজশ্বর শ্ীষ য ২০০টির েজযয অিভুযক্তক্তর েক্ষযোো তেয যারে কজ...

<s>সেজের েজযয োম্বার ওোে তবশ্বতবদযােে েজব তসাংেুো। Aggregate Summary (Article 2) যুক্তরাজজযর সাপ্তাতেক প্রকাশ্ো িাইেস োোর এডুজকশ্ে সােতেকীর সব যজশ্ষ জতরজপ তবজশ্বর শ্ীষ য ১০টি তবশ্বতবদযােজের েজযয চীজের তকাজো তবশ্বতবদযােজের োে তেই। পক্তিো গজবষোতভতিক তবশ্বতবদযােেগুজোর আদজে পতরচাতেে েজে চীজের তসাংেুো তবশ্বতবদযা...

<s>M. (2004, December). Bhasa: A corpus-based information retrieval and summariser for bengali text. In Proceedings of the 7th International Conference on Computer and Information Technology. [2] Uddin, M. N., & Khan, S. A. (2007, December). A study on text summarization techniques and implement few of them for Bangla ...

<s>Information Processing Systems, 13(4). [18] Patil, D. B., & Dongre, Y. V. (2015). A fuzzy approach for text mining. IJ Mathematical Sciences and Computing, 4, 34-43. [19] Dunn, J. C. (1973). A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. [20] Bezdek, J. C. (1981). O...

<s>Sentence Based Topic Modeling using Lexical AnalysisShahinur Rahman1, Shikh Abujar1, S. M. Mazharul Hoque Chowdhury1, Mohd Saifuzzaman1, Syed Akhter Hossain1{shahinur3606, sheikh.cse, mazharul2213, saifuzzaman.cse}@diu.edu.bd, aktarhossain@daffodilvarsity.edu.bd1Department of computer science and engineering, Daffod...

<s>(Rosen-Zvi et al.,2004), tag -topic model(Tsai,2011) and Topic-Link LDA (Liu et al., 2009). All of this work has been done in English. Previously (Geetanjali and Pushpak) analysis Bengali Poet classification and Identification and Amitava and Sivaji (2010) have done to analysis a document and find out Opinion base s...

<s>sentence as a set of independent words. Generally, in Bengali and some other language using space is separator from one word to another word. 4.4 Remove stop words: Stop words are a set of commonly used words in any language which has no actual meaning. It’s just use to make a sentence but doesn’t carry any tangible...

<s>that sentence length is the score for the sentence. This time sentence score will be the number of valid words were used in the sentence. To do that it is necessary to remove determinate, nouns, articles etc. Therefore, a set of clear data will be stored in the sentence. Now it is time to find out the expected topic...

<s>In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp- 1489-1498, Singapore, November. (2017)8. Ruohonen, J.: Classifying Web Exploits with Topic Modeling. In: 28th International Workshop on Database and Expert Systems Applications, DOI. 10.1109, DEXA. 2017.35, Lyon, France (2017)...

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<s>A Novel Training Based Concatenative Bangla Speech Synthesizer Model Firoz Mahmud, MD. Abdullah-al-MAMUN, Mumu Aktar, Shyla Afroge Department of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh. fmahmud.ruet@gmail.com Abstract— In the modern era of information ...

<s>on [1, 2, 7, 8, 9, and 11]. Although different TTS systems have been introduced in different languages efficiently but in Bangla, TTS system is not so rich. Figure 1: A general speech synthesizer model A large database is needed to build a TTS system. So it‟s very difficult to build a TTS system. In past an attempt ...

<s>A speech sound that is produced by comparatively open configuration of the vocal tract, with vibration of the vocal cords but without audible friction and is a unit of the sound system of a language that forms the nucleus of a syllable. For example, অ, আ, ই, ঈ, উ, ঊ, ঋ, এ, ঐ, ঑, ঒। b) Consonant( ন ড): A basic speech...

<s>ক ক ক ক ক ক ক ক ক ক ঘ খ খ খ খ খ খ খ খ খ খ http://en.wikipedia.org/wiki/Concatenationhttp://en.wikipedia.org/wiki/Databasehttp://en.wikipedia.org/wiki/Syllablehttp://en.wikipedia.org/wiki/Wordhttp://en.wikipedia.org/wiki/Phrasehttp://en.wikipedia.org/wiki/Speech_communicationখ খ খ ঙ None চ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ঘ ছ ঙ ঙ...

<s>these words, easily keywords can be detected. আ word consists of two keywords আ & | respectively, ভ ঢ and ঔ ই words consist of ভ , ঢ, ঔ , ই | So to modeling the training keywords, we can create a passage that each word is consisting of only two keywords. And then separate each keyword from the word of the passage. E...

<s>ক ও ঝ । ও ঢও ন ওঢ ন এই দ দ ও দ ঢ ও দঔ য ৞ চ ঞ, ৞ , ঢ ড ভঢ অ ড আ - এ ন ভ ।” as a text. B. Text normalization rule From the inputted text the string is normalized according to the punctuator and thus at first text is divided into three parts according to the fullstop (দ ড়). First part is “আ দ দ ন দ ”, second part is “...

<s>ratio 2:1 for segmenting a recorded word. The following table (Table 4) shows the file segmentation example for various keywords. Here, L represents total length of the audio file, LA represents length of a keyword after segmentation and LO represents length of a keyword before segmentation. Figure 6 shows error rat...

<s>to synthesize speech with arbitrarily given text and speaker‟s voice characteristics. The performance of this Bangla speech synthesizer system was measured by listening tests. Listening of single vowel, consonant and digits was fully identified. So in this case it provides 100% accuracy to identify the words correct...

<s>MARY:A Tool for Research,” Development and Teaching. Institute of Phonetics, University of the Saarland, Saarbr ¨ ucken, Germany. [12] Firoj Alam, S.M. Murtoza Habib, and Mumit Khan, “Text normalization system for Bangla,” Proc. of Conf. on Language and Technology, Lahore, pp. 22-24, 2009. [13] T. Yoshimura, K. Toku...

<s>Preparation_InstructionI.J. Information Engineering and Electronic Business, 2019, 2, 1-9 Published Online March 2019 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijieeb.2019.02.01 Copyright © 2019 MECS I.J. Information Engineering and Electronic Business, 2019, 2, 1-9 Text to Speech Synthesis for Bangla Langua...

<s>is the seventh most popular language in the world and spoken by a population that now exceeds 250 million [16]. Bangla is the primary spoken language in Bangladesh and the second most spoken language in India [4]. Several researches were conducted in Bangla speech synthesis but these are not enough to build a comple...

<s>A pitch synchronous waveform processing technique for text-to-speech synthesis using diphones was presented in [19]. In this paper, several algorithms were reviewed in a common framework to improve the voice quality of a text-to-speech synthesis system. The framework was developed based on acoustical units concatena...

<s>the input text. Text to Speech Synthesis for Bangla Language 3 Copyright © 2019 MECS I.J. Information Engineering and Electronic Business, 2019, 2, 1-9 Fig.1. Architecture of Bangla text to speech synthesis system IV. TEXT NORMALIZATION A text document contains not only full words but also various other language uni...

<s>বত্রিশ ”. B. Date normalization According to the national and official Calendar of Bangladesh, the date format is “দদ-মম-বববব” (dd-mm-yyyy). A text is identified as a date unit, if it contains a one to thirty-one, following a separator and a one- or two-digit number denoting a month ranged from one to twelve with th...

<s>তারিখে বাাংলাদেশ ক্রিকেট দল শ্রীলঙ্কা সফর করে। ২/৩/২০১৭ দুই মার্চ দুই হাজার বার The last two digits make a group and the rest digits make another group and the word “মশা” (sho) is added to the last group. For example, 1971 will be pronounced as “উতনশখশা একাত্তি” (unissho ekattor). And, if the year is like 10XX or 20...

<s>I.J. Information Engineering and Electronic Business, 2019, 2, 1-9 If a text has +880 following 1 or 96 and an eight-digit number, it will be recognized as a phone number. When dialing inside Bangladesh, the country code is not necessary. In that situation, if a text has 1 or 96 following an eight-digit number, it w...

<s>romanized to Latin scripts. We have designed romanization rules based on vowel and consonant combinations. Some of the rules are described below: 1. The vowels are romanized directly according to its corresponding romanized form (table 5). 2. If a consonant is in the last position of a word, it is replaced according...

<s>can parse data from the xml data tree (Fig.2). For example, if a user wants to get all the date, by parsing the xml s/he can get all the date. Fig.2. XML data presentation IX. EXPERIMENTAL EVALUATION To produce output speech, input text is taken from different sources. The sources of input texts are daily newspaper,...

<s>পোশাক , খালি পা—কাউকে বলে দিতে হয় না। যে বাড়িতে শোকের ঘটনা ঘটেছে , ঘটেছে , সেখানেও দেখা যায় স্বজন হারানো মানুষেরা শোকের প্রাথমিক ধাক্কা সামলে নিজের পরনের পোশাকটি বদলে সাদা বা কালো পোশাক পরে পরে শামিল হচ্ছেন শেষযাত্রায় । আসলে পরিবেশ-পরিস্থিতি , আবেগ-অনুভূতি বলে দিচ্ছে ওই সময়ে কোন রাং থাকবে পরনে । sada o kalo. jodi b...