Improving Coverage of Translation Memories with Language Modelling
| Authors | |
|---|---|
| Year of publication | 2014 |
| Type | Article in Proceedings |
| Conference | Eighth Workshop on Recent Advances in Slavonic Natural Language Processing |
| MU Faculty or unit | |
| Citation | |
| Web | https://nlp.fi.muni.cz/raslan/2014/11.pdf |
| Field | Informatics |
| Keywords | translation memory; CAT; segment; subsegment leveraging; partial translation; Moses; GIZA++; word matrix; METEOR; MemoQ; language model |
| Description | 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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