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Improving Coverage of Translation Memories with Language Modelling

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BAISA Vít BUŠTA Josef HORÁK Aleš

Rok publikování 2014
Druh Článek ve sborníku
Konference Eighth Workshop on Recent Advances in Slavonic Natural Language Processing
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www https://nlp.fi.muni.cz/raslan/2014/11.pdf
Obor Informatika
Klíčová slova translation memory; CAT; segment; subsegment leveraging; partial translation; Moses; GIZA++; word matrix; METEOR; MemoQ; language model
Popis In this paper, we describe and evaluate current improvements to methods for enlarging translation memories. In comparison with the previous results in 2013, we have achieved improvement in coverage by almost 35 percentage points on the same test data. The basic subsegment splitting of the translation pairs is done using Moses and (M)GIZA++ tools, which provide the subsegment translation probabilities. The obtained phrases are then combined with subsegment combination techniques and filtered by large target language models.
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