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Enriching low resource Statistical Machine Translation using induced bilingual lexicons

Procesamiento del Lenguaje Natural, 2017-09, Vol.59, p.91

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Title:
Enriching low resource Statistical Machine Translation using induced bilingual lexicons
Author: Han, Jingyi ; Bel, Núria
Subjects: Bilingual lexicon induction ; Bilingualism ; Chinese languages ; Classifiers ; Expansión de vocabulario ; Experiments ; Inducción de léxicos biling ues ; Language ; Machine translation ; Natural language processing ; Phrase table expansion ; Procesamiento del lenguaje natural ; Spanish language ; Support vector machines ; Traducción automática ; Translations
Is Part Of: Procesamiento del Lenguaje Natural, 2017-09, Vol.59, p.91
Description: In this work we present an experiment for enriching a Statistical Machine Translation (SMT) phrase table with automatically created bilingual word pairs. The bilingual lexicon is induced with a supervised classifier trained using a joint representation of word embeddings (WE) and Brown clusters (BC) of translation equivalent word pairs as features. The classifier reaches a 0.94 F-score and the MT experiment results show an improvement of up to +0.70 BLEU over a low resource Chinese-Spanish phrase-based SMT baseline, demonstrating that bad entries delivered by the classifier are well handled.
Publisher: Jaén: Sociedad Española para el Procesamiento del Lenguaje Natural
Language: Spanish;English
Identifier: ISSN: 1135-5948
EISSN: 1989-7553
Source: Recercat
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