Machine translation system development based on human likeness

Patrik Lambert, Jesús Giménez, Marta R. Costa-Jussà, Enrique Amigó, Rafael E. Banchs, Lluís Màrquez, J. A.R. Fonollosa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We present a novel approach for parameter adjustment in Empirical Machine Translation systems. Instead of relying on a single evaluation metric, or in an ad-hoc linear combination of metrics, our method works over metric combinations with maximum descriptive power, aiming to maximise the Human Likeness of the automatic translations. We apply it to the problem of optimising decoding stage parameters of a state-of-the-art Statistical Machine Translation system. By means of a rigorous manual evaluation, we show how our methodology provides more reliable and robust system configurations than a tuning strategy based on the BLEU metric alone.

Original languageEnglish
Title of host publication2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings
Pages246-249
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2006
Event2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006 - Palm Beach, Aruba
Duration: 10 Dec 200613 Dec 2006

Publication series

Name2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings

Other

Other2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006
CountryAruba
CityPalm Beach
Period10/12/0613/12/06

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ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Linguistics and Language

Cite this

Lambert, P., Giménez, J., Costa-Jussà, M. R., Amigó, E., Banchs, R. E., Màrquez, L., & Fonollosa, J. A. R. (2006). Machine translation system development based on human likeness. In 2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings (pp. 246-249). [4123408] (2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings). https://doi.org/10.1109/SLT.2006.326801