Towards Sinhala Tamil machine translation

Author

Pushpananda, Randil ; Weerasinghe, Ruvan ; Niranjan, Mahesan

Author_Institution

Sch. of Comput., Language Technol. Res. Lab., Univ. of Colombo, Colombo, Sri Lanka

fYear

2013

fDate

11-15 Dec. 2013

Firstpage

288

Lastpage

288

Abstract

Statistical Machine Translation is a well established data-driven approach to translate source language text to target language text using statistical methods using bilingually aligned corpora. However there has been little research in this area for less well-resourced languages such as Sinhala and Tamil. The focus of this research is to investigate how translation performance varies with the amount of parallel training data in order to find out the minimum needed to develop a baseline machine translation system for the Sinhala-Tamil language pair.

Keywords

language translation; statistical analysis; Sinhala-Tamil language pair; bilingually aligned corpora; data-driven approach; machine translation system; parallel training data; source language text; statistical machine translation; statistical methods; target language text; translation performance; Buildings; Educational institutions; Laboratories; Measurement; Training; Tuning; Language Modeling; Sinhala Language Processing; Statistical Machine Translation; Tamil Language Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on

Conference_Location

Colombo

Print_ISBN

978-1-4799-1275-9

Type

conf

DOI

10.1109/ICTer.2013.6761202

Filename

6761202