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

• URL: http://arxiv.org/abs/2007.03541v1
• Date: Tue, 7 Jul 2020 15:14:32 GMT
• Title: scb-mt-en-th-2020: A Large English-Thai Parallel Corpus
• Authors: Lalita Lowphansirikul, Charin Polpanumas, Attapol T. Rutherford and Sarana Nutanong
• Abstract summary: We construct an English-Thai machine translation dataset with over 1 million segment pairs. We train machine translation models based on this dataset. The dataset, pre-trained models, and source code to reproduce our work are available for public use.
• Score: 3.3072037841206354
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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