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A Study of Various Natural Language Processing Works for Assamese Language

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Intelligent Techniques and Applications in Science and Technology (ICIMSAT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 12))

Abstract

A natural language or an everyday language is an accustomed form of communication used by the people to speak, express and write. Besides, these languages are called natural because they are evolved naturally among the communities. Natural Language Processing is a very vital field in connection with Artificial Intelligence, where research has exponentially taken place. This research aims to explore the techniques that have been used to process the Assamese language, the focus will be basically on Parsing, Part-of-Speech tagging, Word-Sense Disambiguation, Machine Translation, WordNet.

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References

  1. Goswami, G.C.: Structure of Assamese. Gauhati University Publication, Guwahati (1982)

    Google Scholar 

  2. Saharia, N., Das, D., Sarma, U., Kalita, J.: Part of speech tagger for Assamese text, 4 August 2009

    Google Scholar 

  3. Sarmah, J., Sarma, S.Kr.: Decision tree based supervised word sense disambiguation for Assamese. Int. J. Appl. 141(1), 42–48 (2016)

    Google Scholar 

  4. Hussain, I., Saharia, N., Sarma, U.: Development of Assamese WordNet (2011)

    Google Scholar 

  5. Barman, A.K., Sarmah, J., Sarma, S.K.: Assamese WordNet based quality enhancement of bilingual machine translation system (2014)

    Google Scholar 

  6. Rahman, M., Sarma, S.K.: An implementation of apertium based Assamese morphological analyzer. Int. J. Nat. Lang. Comput. (IJNLC) 4(1), 23–30 (2015)

    Article  Google Scholar 

  7. Sarma, S.Kr., Medhi, R., Gogoi, M., Saikia, U.: Foundation and structure of developing an Assamese Wordnet (2010)

    Google Scholar 

  8. Sarma, S.Kr., Bharali, H., Gogoi, A., Deka, R.Ch., Barman, A.K.: A structured approach for building Assamese corpus: insights, applications and challenges, pp. 21–28. COLING 2012, Mumbai, December 2012

    Google Scholar 

  9. Sarmah, J., Saharia, N., Sarma, S.Kr.: A novel approach for document classification using assamese WordNet, pp. 324–329 (2012)

    Google Scholar 

  10. Borah, P.P., Talukdar, G., Baruah, A.: Assamese word sense disambiguation supervised learning (2014)

    Google Scholar 

  11. Bhuyan, M.P., Sarma, S.K.: An N-gram based model for predicting of word-formation in Assamese language. J. Inf. Optim. Sci. 40, 427–440 (2019). https://doi.org/10.1080/02522667.2019.1580883

    Article  Google Scholar 

  12. Kalita, S., Deka, R.R., Bhuyan, M.P., Sarma, S.K.: Real – word and non – word error detection & correction in NLP: a survey. In: Joint National Conference on Emerging Technologies and Its Applications (2019)

    Google Scholar 

  13. Sarma, S.Kr., Sarmah, D., Deka, R., Barman, A.Kr., Sarmah, J., Bharali, H., Mahanta, M., Deka, U.: A quantitative analysis of synset of Assamese WordNet: its position and timeline (2014)

    Google Scholar 

  14. Kalita, P., Barman, A.K.: Implementation of walker algorithm in word sense disambiguation for Assamese language. In: International Symposium on Advanced Computing and Communication (ISACC) (2015)

    Google Scholar 

  15. Das, P., Baruah, K.K.: Assamese to English statistical machine translation integrated with a transliteration module. Int. J. Comput. Appl. 100(5), 20–24 (2014)

    Google Scholar 

  16. Das, P., Baruah, K.K., Hannan, A., Sarma, S.K.: Rule based machine translation for Assamese-English using apertium. Int. J. Emerg. Technol. Comput. Appl. Sci. 8(5), 401–406 (2014)

    Google Scholar 

  17. Kalita, N.J., Islam, B.: Bengali to Assamese statistical machine translation using moses (corpus based). In: Proceedings of the International Conference on Cognitive Computing and Information Processing (2015)

    Google Scholar 

  18. Barman, A.K., Sarmah, J., Sarma, S.K.: POS tagging of Assamese language and performance analysis of CRF++ and TBL approaches. In: UKSim 15th International Conference on Computer Modelling and Simulation (2013)

    Google Scholar 

  19. Chakraborty, R., Sarma, S.Kr.: Structured and logical representations of Assamese text for question-answering system. In: Proceedings of the Workshop on Question Answering for Complex Domains, pp. 27–38. COLING, Mumbai, December 2012

    Google Scholar 

  20. Kashyap, K., Sarma, H., Sarma, S.K.: Luitspell: development of an Assamese language spell checker for open office writer. Eur. J. Adv. Eng. Technol. 2(5), 135–138 (2015)

    Google Scholar 

  21. Gogoi, M., Sarma, S.K.: Document classification of Assamese text using Naïve Bayes approach. Int. J. Comput. Trends Technol. (IJCTT) 30(4), 182 (2015). http://www.ijcttjournal.org. ISSN: 2231-2803

    Article  Google Scholar 

  22. Saharia, N., Sharma, U., Kalita, J.: Analysis and evaluation of stemming algorithms: a case study with Assamese. In: International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2012)

    Google Scholar 

  23. Saharia, N., Konwar, K.M.: LuitPad: a fully unicode compatible Assamese writing software. COLING, Mumbai, December 2012

    Google Scholar 

  24. Talukdar, G., Borah, P.P., Baruah, A.: Supervised named entity recognition in Assamese language. In: International Conference on Contemporary Computing and Informatics (IC3I), Mysore, pp. 187–191 (2014)

    Google Scholar 

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Correspondence to S. Kalita .

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Deka, R.R., Kalita, S., Bhuyan, M.P., Sarma, S.K. (2020). A Study of Various Natural Language Processing Works for Assamese Language. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_15

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