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DOI: 10.4230/OASIcs.LDK.2019.6
Comparison of Different Orthographies for Machine Translation of Under-Resourced Dravidian Languages

Authors: Bharathi Raja Chakravarthi, Mihael Arcan, and John P. McCrae

Published in: OASIcs, Volume 70, 2nd Conference on Language, Data and Knowledge (LDK 2019)

Abstract
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.
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Bharathi Raja Chakravarthi, Mihael Arcan, and John P. McCrae. Comparison of Different Orthographies for Machine Translation of Under-Resourced Dravidian Languages. In 2nd Conference on Language, Data and Knowledge (LDK 2019). Open Access Series in Informatics (OASIcs), Volume 70, pp. 6:1-6:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{chakravarthi_et_al:OASIcs.LDK.2019.6,
  author =	{Chakravarthi, Bharathi Raja and Arcan, Mihael and McCrae, John P.},
  title =	{{Comparison of Different Orthographies for Machine Translation of Under-Resourced Dravidian Languages}},
  booktitle =	{2nd Conference on Language, Data and Knowledge (LDK 2019)},
  pages =	{6:1--6:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-105-4},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{70},
  editor =	{Eskevich, Maria and de Melo, Gerard and F\"{a}th, Christian and McCrae, John P. and Buitelaar, Paul and Chiarcos, Christian and Klimek, Bettina and Dojchinovski, Milan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2019.6},
  URN =		{urn:nbn:de:0030-drops-103700},
  doi =		{10.4230/OASIcs.LDK.2019.6},
  annote =	{Keywords: Under-resourced languages, Machine translation, Dravidian languages, Phonetic transcription, Transliteration, International Phonetic Alphabet, IPA, Multilingual machine translation, Multilingual data}
}
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