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Doctoral thesis
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Structural Asymmetries in Machine Translation: The case of English-Japanese

Contributors

Kauffmann, Alexis Joseph Azar

Directors

Wehrli, Eric

Defense date

2013-06-28

Abstract

This thesis describes structural differences and translation asymmetries between English and Japanese. It describes possible ways to treat those phenomena in the framework of linguistics-based machine translation. As an application, the adaptibility of the multilingual linguistics-based MT system Its-2 to English-Japanese translation is tested, describing the enhancement of the system and its lexical databases, and the positive effect of using statistically acquired linguistic data. The translation quality of the English-Japanese version of Its-2 is finally compared to these of 2 other MT systems, on a set of 5 chosen sentences, showing strength on some points and weeknesses on others. It is also shown that hierarchical statistical post-editing can improve the overall translation quality of the system for daily language translation when the training corpus is not too small.

Keywords

  • Machine translation
  • Japanese
  • Japanese syntax
  • Linguistics-based machine translation
  • Statistical post-editing
  • Traduction automatique
  • Japonais
  • Traduction automatique à base linguistique
  • Révision statistique

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

KAUFFMANN, Alexis Joseph Azar. Structural Asymmetries in Machine Translation: The case of English-Japanese. Doctoral Thesis, 2013. doi: 10.13097/archive-ouverte/unige:34540

Main files (1)

Thesis

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Technical informations

Creation

10/02/2014 16:25:00

First validation

10/02/2014 16:25:00

Update

14/03/2023 20:59:50

Status update

14/03/2023 20:59:49

Last indexation

13/05/2025 16:32:02
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