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Word Sense Disambiguation in Bengali language using unsupervised methodology with modifications

Alok Ranjan Pal, Diganta Saha
2019 Sadhana (Bangalore)  
In this work, Word Sense Disambiguation (WSD) in Bengali language is implemented using unsupervised methodology.  ...  In the next phase, when a test data comes to be disambiguated, the Cosine Similarity Measure is used to find the closeness of that test data with the initially sense-tagged clusters.  ...  Context Expansion using the Bengali WordNet Although the accuracy of result is increased using PCA, it is not up to the level of expectation.  ... 
doi:10.1007/s12046-019-1149-2 fatcat:mz6gcbrjsfghjddmqnztkggdae

A novel approach to word sense disambiguation in Bengali language using supervised methodology

Alok Ranjan Pal, Diganta Saha, Niladri Sekhar Dash, Sudip Kumar Naskar, Antara Pal
2019 Sadhana (Bangalore)  
An attempt is made in this paper to report how a supervised methodology has been adopted for the task of Word Sense Disambiguation (WSD) in Bengali with necessary modifications.  ...  As a result, the levels of accuracy of the baseline methods are slightly improved, which is a positive signal for the whole process of disambiguation as it opens scope for further modification of the existing  ...  Bengali ambiguous words; next, two extensions are adopted over the baseline strategy to increase the level of accuracy: (a) incorporation of lemmatization process in the system that generates 68.30, 79  ... 
doi:10.1007/s12046-019-1165-2 fatcat:f46i5c5ds5bkndmrrmpj4xh2jq

Word Sense Disambiguation in Hindi Language Using Score Based Modified Lesk Algorithm

Praffullit Tripathi, Prasenjit Mukherjee, Manik Hendre, Manish Godse, Baisakhi Chakraborty
2021 International Journal of Computing and Digital Systems  
Understanding of a sense Process of assigning senses to the polysemous words is in a Sentence or Word by the NLP based systems is an known as word-sense disambiguation  ...  Word Sense This WSD system is based on Bengali The Score and Combination [32] Disambiguation of words.  ... 
doi:10.12785/ijcds/100185 fatcat:35aaf3v2wnggrnfb6st2goesa4

Inference of Fine-grained Attributes of Bengali Corpus for Stylometry Detection [article]

Tanmoy Chakraborty, Sivaji Bandyopadhyay
2012 arXiv   pre-print
Evaluation results of our attempt for Bengali author's stylometry detection show reasonably promising accuracy in comparison to the baseline model.  ...  In this work, we present a strategy for stylometry detection of documents written in Bengali.  ...  the accuracy of the filtering, the more the accuracy of the system.  ... 
arXiv:1210.3729v1 fatcat:67lh5jogb5a65exns6btl5jtzm

Identifying Bengali Multiword Expressions using semantic clustering

Tanmoy Chakraborty, Dipankar Das, Sivaji Bandyopadhyay
2014 Lingvisticæ investigationes  
These clusters in turn help measure the similarity between the constituent words of a potentially candidate phrase using a vector space model and judge the suitability of this phrase to be a MWE.  ...  As a byproduct of this experiment, we have started developing a standard lexicon in Bengali that serves as a productive Bengali linguistic thesaurus.  ...  The introduction of English WordNet∷Similarity in identifying Bengali MWEs is presented in section 6. The metrics used for evaluating the systems and experimental results are discussed in section 7.  ... 
doi:10.1075/li.37.1.04cha fatcat:jzcfhsy6wzdgtgl7rlcuzk7kua

Enhancing the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques

2020 International Journal of Engineering and Advanced Technology  
After getting the impressive result for the Bengali language test run was done for other Indian languages and a very good result is achieved.  ...  However, it can happen that the user query or question and the best available answer or result in the internet domain has no terms in common or ignorable number of terms is common.  ...  ACKNOWLEDGMENT We sincerely express our gratitude to Professor N S Dash of the Language Research Unit (LRU) of ISI Kolkata for providing his valuable time to evaluate the performance of the system.  ... 
doi:10.35940/ijeat.b3566.029320 fatcat:hn455gvovrchhclo7s3nxzflne

Inference of Fine-grained Attributes of Bengali Corpus for Stylometry Detection

Tanmoy Chakraborty, Sivaji Bandyopadhyay
2011 POLIBITS Research Journal on Computer Science and Computer Engineering With Applications  
Evaluation results of our attempt for Bengali author's stylometry detection show reasonably promising accuracy in comparison to the baseline model.  ...  In this work, we present a strategy for stylometry detection of documents written in Bengali.  ...  the accuracy of the filtering, the more the accuracy of the system.  ... 
doi:10.17562/pb-44-12 fatcat:45jvakhwube4dmfggcrxp5fzqm

Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks

Abhisek Chakrabarty, Onkar Arun Pandit, Utpal Garain
2017 Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
To train the model on Bengali, we develop a gold lemma annotated dataset 1 (having 1, 702 sentences with a total of 20, 257 word tokens), which is an additional contribution of this work.  ...  contextual information of the given word.  ...  defines the foremost task to handle diverse text processing problems (e.g. sense disambiguation, parsing, translation).  ... 
doi:10.18653/v1/p17-1136 dblp:conf/acl/ChakrabartyPG17 fatcat:6j56rjbyxneftmqiryw6uknmza

Adapted Lesk Algorithm based Word Sense Disambiguation using the Context Information

Manish Kumar, Prasenjit Mukherjee, Manik Hendre, Manish Godse, Baisakhi Chakraborty
2020 International Journal of Advanced Computer Science and Applications  
The process of identifying the meaning of a polysemous word correctly from a given context is known as the Word Sense Disambiguation (WSD) in natural language processing (NLP).  ...  WSD classifier uniquely identifies the sense of the polysemous word using the context information of the query and the lexical database.  ...  [10] have introduced a system that is based on Bengali word sense disambiguation.  ... 
doi:10.14569/ijacsa.2020.0110330 fatcat:d5inzzexrnb73hjkpzshltxz7e

A Survey on Cross Language Information Retrieval
IJARCCE - Computer and Communication Engineering

Monika Sharma, Sudha Morwal
2015 IJARCCE  
Cross language information retrieval (CLIR), whose goal is to find relevant information written in a language different from the language of query.  ...  CLIR can be used to enhance the ability of users to search and retrieve documents in many languages.  ...  Word sense disambiguation is performed that identifies the correct sense of an ambiguous word that is being used in a query. 5. Manoj Kumar Chinnakotla, Sagar Ranadive, Om P.  ... 
doi:10.17148/ijarcce.2015.4287 fatcat:4345kzo2xfaivaea7qnankkpqi

A comprehensive survey on Indian regional language processing

B. S. Harish, R. Kasturi Rangan
2020 SN Applied Sciences  
In recent information explosion, contents in internet are multilingual and majority will be in the form of natural languages.  ...  In this survey, the various approaches and techniques contributed by the researchers for Indian regional language processing are reviewed.  ...  It helps in achieving language processing tasks more efficiently. POS tagging is a disambiguation task and the goal of tagging is to find the exact role of a word in the sentence.  ... 
doi:10.1007/s42452-020-2983-x fatcat:e3u5r5qo7ngapj5mbiwit7qlwi

A New Approach to Tagging in Indian Languages

Kavi Narayana Murthy, Srinivasu Badugu
2013 Research in Computing Science  
The crux of the approach is in the very definition of words.  ...  In fact entire corpora can be tagged very fast and with a good degree of guarantee of quality. We give details of our experiments and results obtained.  ...  Various experiments were carried out with various sets and combinations of features which mark a gradual increase in the performance of the system.  ... 
doi:10.13053/rcs-70-1-4 fatcat:luv4ap4nwzh6njx2pruhvd73by

Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods [article]

Ovishake Sen, Mohtasim Fuad, MD. Nazrul Islam, Jakaria Rabbi, MD. Kamrul Hasan, Mohammed Baz, Mehedi Masud, Md. Abdul Awal, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, MD. Akil Raihan Iftee
2021 arXiv   pre-print
, Parts of Speech Tagging, Question Answering System, Sentiment Analysis, Spam and Fake Detection, Text Summarization, Word Sense Disambiguation, and Speech Processing and Recognition.  ...  There is an apparent scarcity of resources that contain a comprehensive study of the recent BNLP tools and methods.  ...  Acknowledgment: The authors would like to thank for the support from Taif University Researchers Supporting Project number (TURSP-2020/239), Taif University, Taif, Saudi Arabia.  ... 
arXiv:2105.14875v2 fatcat:kvqmgxpthvh2fj7jza64n6kaiq

Computational Morphology with Neural Network Approaches [article]

Ling Liu
2021 arXiv   pre-print
In the end, we will analyze the advantages and problems of neural network approaches to computational morphology, and point out some directions to be explored by future research and study.  ...  This paper starts with a brief introduction to computational morphology, followed by a review of recent work on computational morphology with neural network approaches, to provide an overview of the area  ...  This term has also been used in a more specific sense, where it refers to the task of "[annotating] a given word form with its lemma and morphological tag" (p211), i.e. the combination of lemmatization  ... 
arXiv:2105.09404v1 fatcat:6w4n7yjaevh6fpnauntzlfe64u

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam, Jakaria Rabbi, Mehedi Masud, Md. Kamrul Hasan, Md. Abdul Awal, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, Md. Akil Raihan Iftee
2022 IEEE Access  
Therefore, in this paper, we present a thorough analysis of 75 BNLP research papers and categorize them into 11 categories,  ...  There is an apparent scarcity of resources that contain a comprehensive review of the recent BNLP tools and methods.  ...  [81] created a dataset for developing a word sense disambiguation system for Bangla sentence and got overall accuracy of 77.5%.  ... 
doi:10.1109/access.2022.3165563 fatcat:rmersduz6vbyjjczvobrebskmi
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