文章基本信息

标题：Comparison of Different Orthographies for Machine Translation of Under-Resourced Dravidian Languages
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作者：Bharathi Raja Chakravarthi ; Mihael Arcan ; John P. McCrae 等
期刊名称：OASIcs : OpenAccess Series in Informatics
电子版ISSN：2190-6807
出版年度：2019
卷号：70
页码：6:1-6:14
DOI：10.4230/OASIcs.LDK.2019.6
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：Under-resourced languages are a significant challenge for statistical approaches to machine translation, and recently it has been shown that the usage of training data from closely-related languages can improve machine translation quality of these languages. While languages within the same language family share many properties, many under-resourced languages are written in their own native script, which makes taking advantage of these language similarities difficult. In this paper, we propose to alleviate the problem of different scripts by transcribing the native script into common representation i.e. the Latin script or the International Phonetic Alphabet (IPA). In particular, we compare the difference between coarse-grained transliteration to the Latin script and fine-grained IPA transliteration. We performed experiments on the language pairs English-Tamil, English-Telugu, and English-Kannada translation task. Our results show improvements in terms of the BLEU, METEOR and chrF scores from transliteration and we find that the transliteration into the Latin script outperforms the fine-grained IPA transcription.
关键词：Under-resourced languages; Machine translation; Dravidian languages; Phonetic transcription; Transliteration; International Phonetic Alphabet; IPA; M