A generalised alignment template formalism and its application to the inference of shallow-transfer machine translation rules from scarce bilingual corpora-Reference-Cited by-同舟云学术

A generalised alignment template formalism and its application to the inference of shallow-transfer machine translation rules from scarce bilingual corpora

Published:2015-07 Issue:1 Volume:32 Page:46-90
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Sánchez-Cartagena Víctor M.,Pérez-Ortiz Juan Antonio^ORCID,Sánchez-Martínez Felipe^ORCID

Funder

Generalitat Valenciana

European Union Seventh Framework Programme FP7/2007-2013

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference49 articles.

1. Consumer Corpus: towards linguistically searchable text;Alcázar,2005

2. Meteor: an automatic metric for MT evaluation with improved correlation with human judgments;Banerjee,2005

3. Findings of the 2013 workshop on statistical machine translation;Bojar,2013

4. Apertium-IceNLP: a rule-based Icelandic to English machine translation system;Brandt,2011

5. The mathematics of statistical machine translation: parameter estimation;Brown;Comput. Linguist.,1993

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