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cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus

Publication Type : Conference Paper

Publisher : BUCC@LREC 2020

Source : BUCC@LREC 2020, pp. 61-64

Url : https://aclanthology.org/2020.bucc-1.10

ISBN : 9791095546429

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Center for Computational Engineering and Networking (CEN), Electronics and Communication

Year : 2020

Abstract : Natural Language Processing (NLP), is the field of artificial intelligence that gives the computer the ability to interpret, perceive and extract appropriate information from human languages. Contemporary NLP is predominantly a data driven process. It employs machine learning and statistical algorithms to learn language structures from textual corpus. While application of NLP in English, certain European languages such as Spanish, German, etc. and Chinese, Arabic has been tremendous, it is not so, in many Indian languages. There are obvious advantages in creating aligned bilingual and multilingual corpora. Machine translation, cross-lingual information retrieval, content availability and linguistic comparison are a few of the most sought after applications of such parallel corpora. This paper explains and validates a parallel corpus we created for English-Tamil bilingual pair.

Cite this Research Publication : Sanjanasri J.P., B. Premjith, Vijay Krishna Menon, K. P. Soman, “cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus”, BUCC@LREC 2020, pp. 61-64

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