Improving machine translation via triangulation and transliteration

Nadir Durrani; Philipp Koehn

Improving machine translation via triangulation and transliteration

Nadir Durrani, Philipp Koehn

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

In this paper we improve Urdu→Hindi-English machine translation through triangulation and transliteration. First we built an Urdu→Hindi SMT system by inducing triangulated and transliterated phrase-tables from Urdu–English and Hindi–English phrase translation models. We then use it to translate the Urdu part of the Urdu-English parallel data into Hindi, thus creating an artificial Hindi-English parallel data. Our phrase-translation strategies give an improvement of up to +3.35 BLEU points over a baseline Urdu→Hindi system. The synthesized data improve Hindi→English system by +0.35 and English→Hindi system by +1.0 BLEU points.

Original language	English
Title of host publication	Proceedings of 17th Annual conference of the European Association for Machine Translation
Pages	71-78
Number of pages	8
Publication status	Published - 2014

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Durrani Koehn 2014 Improving Machine Translation via Triangulation and TransliterationFinal published version, 452 KB

EU-Bridge
Renals, S., King, S., Koehn, P. & Osborne, M.
EU government bodies
1/02/12 → 31/01/15
Project: Research
MateCat - Machine Translation Enhanced Computer Assited Translation
Koehn, P.
EU government bodies
1/11/11 → 31/10/14
Project: Research

Cite this

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title = "Improving machine translation via triangulation and transliteration",

abstract = "In this paper we improve Urdu→Hindi-English machine translation through triangulation and transliteration. First we built an Urdu→Hindi SMT system by inducing triangulated and transliterated phrase-tables from Urdu–English and Hindi–English phrase translation models. We then use it to translate the Urdu part of the Urdu-English parallel data into Hindi, thus creating an artificial Hindi-English parallel data. Our phrase-translation strategies give an improvement of up to +3.35 BLEU points over a baseline Urdu→Hindi system. The synthesized data improve Hindi→English system by +0.35 and English→Hindi system by +1.0 BLEU points.",

author = "Nadir Durrani and Philipp Koehn",

year = "2014",

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pages = "71--78",

booktitle = "Proceedings of 17th Annual conference of the European Association for Machine Translation",

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AU - Durrani, Nadir

AU - Koehn, Philipp

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N2 - In this paper we improve Urdu→Hindi-English machine translation through triangulation and transliteration. First we built an Urdu→Hindi SMT system by inducing triangulated and transliterated phrase-tables from Urdu–English and Hindi–English phrase translation models. We then use it to translate the Urdu part of the Urdu-English parallel data into Hindi, thus creating an artificial Hindi-English parallel data. Our phrase-translation strategies give an improvement of up to +3.35 BLEU points over a baseline Urdu→Hindi system. The synthesized data improve Hindi→English system by +0.35 and English→Hindi system by +1.0 BLEU points.

AB - In this paper we improve Urdu→Hindi-English machine translation through triangulation and transliteration. First we built an Urdu→Hindi SMT system by inducing triangulated and transliterated phrase-tables from Urdu–English and Hindi–English phrase translation models. We then use it to translate the Urdu part of the Urdu-English parallel data into Hindi, thus creating an artificial Hindi-English parallel data. Our phrase-translation strategies give an improvement of up to +3.35 BLEU points over a baseline Urdu→Hindi system. The synthesized data improve Hindi→English system by +0.35 and English→Hindi system by +1.0 BLEU points.

M3 - Conference contribution

SP - 71

EP - 78

BT - Proceedings of 17th Annual conference of the European Association for Machine Translation

ER -

Improving machine translation via triangulation and transliteration

Abstract / Description of output

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Projects

EU-Bridge

MateCat - Machine Translation Enhanced Computer Assited Translation

Cite this