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Sandy Garg .
2015 International Journal of Research in Engineering and Technology  
To finds the correct meaning of any ambiguous word is easy for human but for a machine it is great issues No of work has done on WSD but not enough in Hindi language.  ...  WSD is a Technique used to find the correct meaning of a given word in any human language. Each human language has a problem called ambiguity of a word.  ...  To identify the particular meaning of a word, also known as lexical disambiguation or WSD, is hardly a problem for a human, but for a machine, which has no base for knowing which meaning is suitable in  ... 
doi:10.15623/ijret.2015.0408006 fatcat:hy4bmpuu7jbdfpjta7yy5wct5q

Kannada word sense disambiguation by finding the overlaps between the concepts

B Manjunatha Kumar, Dr M.Siddappa, Dr J.Prakash
2018 International Journal of Engineering & Technology  
We propose three approaches for disambiguating the Kannada word based on an adaptation of dictionary-based Lesk's word sense disambiguation technique.  ...  Here we adopt a current method of measuring semantic relatedness between the concepts of the Kannada words taken from Indo – WordNet.  ...  [20] presented a knowledge based method for WSD of Bengali language. They used Bengali wordnet as the knowledge base and achieved an accuracy of 75%.  ... 
doi:10.14419/ijet.v7i2.6.10565 fatcat:kxpbv6pd3beslk5sgt4bv3gpzm

Survey on Indian CLIR and MT systems in Marathi Language

Savita C. Mayanale, S. S. Pawar
2015 International Journal of Computer Applications Technology and Research  
Cross Language Information Retrieval (CLIR) deals with retrieving relevant information stored in a language different from the language of user's query.  ...  This paper covers the research work done in CLIR and MT systems for Marathi language in India.  ...  We would also like to extend a heartfelt gratitude to friends and family members who have inspired, guided and assisted us in performing this work.  ... 
doi:10.7753/ijcatr0407.1016 fatcat:hqpt5ljg45c4pmdfxwhani6hqy

Punjabi to English Translator Using Supervised Learning

Kaur Navjot, Dhir Vijay, Rana Vijay
2019 Zenodo  
results in word sense disambiguation, problem, in this paper (preset tense), WSD can be encapsulates follows: given an ambiguous word, such as bank, determine which sense of the word (i.e. a financial  ...  WSD has a long history of research and is considered one of the hardest problems in Artificial Intelligence Building of sense tagged data is a main challenge for supervised techniques that achieve promising  ...  Word sense disambiguation (WSD) is the problem of conclusive in which [14] , sense a word having a number of different senses is used in a given context.  ... 
doi:10.5281/zenodo.2585946 fatcat:3osp2hjt2jacnbshcijfrrn2ne

Ontology-based Tamil–English cross-lingual information retrieval system

D Thenmozhi, Chandrabose Aravindan
2018 Sadhana (Bangalore)  
Our approach uses a word sense disambiguation module to resolve the ambiguity in Tamil query. An automatically constructed ontology in English is used to address the ambiguity of English query.  ...  However, many methods exist to automatically construct ontology for any domain in English but not in other languages like Tamil.  ...  Acknowledgements We would like to thank the management of SSN Institutions for funding the High Performance Computing (HPC) lab, where this research is being carried out.  ... 
doi:10.1007/s12046-018-0942-7 fatcat:yjx65g5cazesxjz6wnezghimou


2017 Journal of Engineering Science and Technology  
To handle these issues, proposed architecture is designed in such a way that, it contains Improved Part-of-Speech tagger, machine learning based morphological analyser, collocation based word sense disambiguation  ...  In an existing word by word translation system there are lot of issues and some of them are ambiguity, Out-of-Vocabulary words, word inflections, and improper sentence structure.  ...  based Word Sense Disambiguation procedure, and use of query expansion technique for short title queries.  ... 
doaj:09b50c704a91433ea8d9fdc53d47d931 fatcat:rk2uw45sr5emjazuqmj7uab2km

Exploiting Artificial Immune System to Optimize Association Rules for Word Sense Disambiguation

Mohd Shahid Husain
2021 International Journal of Intelligent Systems and Applications in Engineering  
Word Sense Disambiguation is a bottleneck in most of the Natural Language Processing (NLP) applications.  ...  To reduce the ambiguities and optimize the association mining rules for Word Sense Disambiguation (WSD), this paper proposes a new approach based on Artificial Immune System and Association Rule Mining  ...  Table 1 shows the performance (in terms of Accuracy) of some of the commonly used supervised methods for Word Sense Disambiguation [2] .  ... 
doi:10.18201/ijisae.2021473638 fatcat:cda4bx5nzba3xbksrfnmarx4ly

A Novel Approach to Enhance the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques [article]

Arijit Das, Diganta Saha
2020 arXiv   pre-print
Search has for a long time been an important tool for users to retrieve information.  ...  A repository containing around a million sentences, a product of TDIL project of Govt. of India, was used to test our system at first instance. Then the testing has been done for other languages.  ...  We are also thankful to Professor Niladri Sekhar Das of Indian Statistical Institute, Kolkata (ISI Kolkata) for providing the dataset. He being the renowned linguist also helped in evaluation.  ... 
arXiv:1911.01256v2 fatcat:ui5oscjjc5bgjftpcjdtxijc7e

Machine Translation Development for Indian Languages and its Approaches

Amruta Godase, Sharvari Govilkar
2015 International Journal on Natural Language Computing  
For a multilingual country like INDIA which is largest democratic country in whole world, there is a big requirement of automatic machine translation system.  ...  With the advent of Information Technology many documents and web pages are coming up in a local language so there is a large need of good MT systems to address all these issues in order to establish a  ...  The system searches in the corpus for each Malayalam fragments. About 75% of the test gives good quality translation.  ... 
doi:10.5121/ijnlc.2015.4205 fatcat:y76fulkcsrhzzc7bycolyfvylm

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.  ...  At the beginning of the clustering method, we generate a synonym set for each noun present in the corpus using the modified dictionary.  ... 
doi:10.1075/li.37.1.04cha fatcat:jzcfhsy6wzdgtgl7rlcuzk7kua

Survey of Machine Translation Systems in India

G V Garje, G K Kharate
2013 International Journal on Natural Language Computing  
The work in the area of machine translation has been going on for last few decades but the promising translation work began in the early 1990s due to advanced research in Artificial Intelligence and Computational  ...  India is a multilingual and multicultural country with over 1.25 billion population and 22 constitutionally recognized languages which are written in 12 different scripts.  ...  Word Sense Disambiguation (WSD) is also handled in this system.  ... 
doi:10.5121/ijnlc.2013.2504 fatcat:gzilgyihzrfw3l4rijpslvvxea

A Comprehensive Analysis of Stemmers Available for Indic Languages

Harshali B. Patil, Pawar B.V, Ajay S. Patil
2016 International Journal on Natural Language Computing  
system, machine translation, word sense disambiguation, information retrieval (IR), etc.  ...  Stemming is the process of term conflation. It conflates all the word variants to a common form called as stem.  ...  ACKNOWLEDGEMENTS The authors are thankful to University Grants Commission (UGC), New Delhi, India, for financial assistance for the research study under the scheme of Special Assistance Programme (SAP)  ... 
doi:10.5121/ijnlc.2016.5104 fatcat:pt54imt6ovcz7do45pxikwodsa

Natutal language processing: Perspective of CIC-IPN

A. Gelbukh
2013 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)  
NLP is a set of technologies that in long run will allow for dialogue with robots in our everyday language or for overcoming the language barrier between people.  ...  Keywords-natural language processing, information retrieval, sentiment analysis, word sense disambiguation, similarity measures I.  ...  ACKNOWLEDGMENTS The work was partially supported by the Government of Mexico (CONACYT 122030; SIP-IPN 20131702 and  ... 
doi:10.1109/icacci.2013.6637507 dblp:conf/icacci/Gelbukh13 fatcat:iyta3747grawjmmitiqhizqkjq

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  
There is an apparent scarcity of resources that contain a comprehensive review of the recent BNLP tools and methods.  ...  Therefore, in this paper, we present a thorough analysis of 75 BNLP research papers and categorize them into 11 categories,  ...  In 2017, Nazah et al. [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

Linguistic corpora of understudied languages: Do they make sense?

Igor Vinogradov
2016 Kanina: revista de artes y letras  
They are especially suitable for typological research, when one has to deal with a huge amount of data in different and unrelated languages.  ...  Furthermore, they can serve as evidence of the existence of word forms or grammatical features in texts that meet specific search criteria.  ...  Annotation, disambiguation, variety of search options, possibility of creation of a subcorpus, special facilities to process the results -all these characteristics make a corpus more useful and more suitable  ... 
doi:10.15517/rk.v40i1.24143 fatcat:qqmduwqa2ffejjr55gdy76i7y4
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