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

Sanjanasri JP, Premjith B, Vijay Krishna Menon, Soman KP


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.
Anthology ID:
2020.bucc-1.10
Volume:
Proceedings of the 13th Workshop on Building and Using Comparable Corpora
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
BUCC | LREC | WS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
61–64
Language:
English
URL:
https://www.aclweb.org/anthology/2020.bucc-1.10
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.bucc-1.10.pdf