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scb-mt-en-th-2020: A Large English-Thai Parallel Corpus

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arxiv 2007.03541 v1 pith:WBQQHSTX submitted 2020-07-07 cs.CL

Lalita Lowphansirikul , Charin Polpanumas , Attapol T. Rutherford , Sarana Nutanong This is my paper · ORCID
classification cs.CL
keywords translationdatasetenglish-thaidatamachinemodelsparallelcorpus
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The primary objective of our work is to build a large-scale English-Thai dataset for machine translation. We construct an English-Thai machine translation dataset with over 1 million segment pairs, curated from various sources, namely news, Wikipedia articles, SMS messages, task-based dialogs, web-crawled data and government documents. Methodology for gathering data, building parallel texts and removing noisy sentence pairs are presented in a reproducible manner. We train machine translation models based on this dataset. Our models' performance are comparable to that of Google Translation API (as of May 2020) for Thai-English and outperform Google when the Open Parallel Corpus (OPUS) is included in the training data for both Thai-English and English-Thai translation. The dataset, pre-trained models, and source code to reproduce our work are available for public use.

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