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Designing a machine translation system for Canadian weather warnings: A case study

Published online by Cambridge University Press:  30 January 2013

FABRIZIO GOTTI ,
PHILIPPE LANGLAIS  and
GUY LAPALME
FABRIZIO GOTTI
Affiliation:
RALI-DIRO – Université de Montréal, C.P. 6128, Succ. Centre-Ville Montréal, Québec, CanadaH3C 3J7 email: gottif@iro.umontreal.ca, felipe@iro.umontreal.ca, lapalme@iro.umontreal.ca
PHILIPPE LANGLAIS
Affiliation:
RALI-DIRO – Université de Montréal, C.P. 6128, Succ. Centre-Ville Montréal, Québec, CanadaH3C 3J7 email: gottif@iro.umontreal.ca, felipe@iro.umontreal.ca, lapalme@iro.umontreal.ca
GUY LAPALME
Affiliation:
RALI-DIRO – Université de Montréal, C.P. 6128, Succ. Centre-Ville Montréal, Québec, CanadaH3C 3J7 email: gottif@iro.umontreal.ca, felipe@iro.umontreal.ca, lapalme@iro.umontreal.ca
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Abstract

In this paper we describe the many steps involved in building a production quality Machine Translation system for translating weather warnings between French and English. Although in principle this task may seem straightforward, the details, especially corpus preparation and final text presentation, involve many difficult aspects that are often glossed over in the literature. On top of the classic Statistical Machine Translation evaluation metric results, four manual evaluations have been performed to assess and improve translation quality. We also show the usefulness of the integration of out-of-domain information sources in a Statistical Machine Translation system to produce high quality translated text.

Type
Articles
Information
Natural Language Engineering , Volume 20 , Issue 3 , July 2014 , pp. 399 - 433
Copyright
Copyright © Cambridge University Press 2013 

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