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Conference papers
A Topic-Based Approach for Post-processing Correction of Automatic Translations
Abstract : We present the LIA systems for the machine translation evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT) 2014 for the English-to-Slovene and English-to-Polish translation tasks. The proposed approach takes into account word context; first, it maps sentences into a latent Dirichlet allocation (LDA) topic space, then it chooses from this space words that are thematically and grammatically close to mistranslated words. This original post-processing approach is compared with a fac-tored translation system built with MOSES. While this post-processing method does not allow us to achieve better results than a state-of-the-art system, this should be an interesting way to explore, for example by adding this topic space information at an early stage in the translation process.
Cited literature [21 references]
https://hal.archives-ouvertes.fr/hal-02021817
Contributor : Stéphane Huet <>
Submitted on : Saturday, February 16, 2019 - 7:24:16 PM
Last modification on : Tuesday, January 14, 2020 - 10:38:06 AM
Long-term archiving on: : Friday, May 17, 2019 - 2:34:18 PM
Contributor : Stéphane Huet <>
Submitted on : Saturday, February 16, 2019 - 7:24:16 PM
Last modification on : Tuesday, January 14, 2020 - 10:38:06 AM
Long-term archiving on: : Friday, May 17, 2019 - 2:34:18 PM
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IWSLT14.pdf
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