Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System

Nasredine Semmar, Meriama Laib
<span title="2017-11-10">2017</span> <i title="Incoma Ltd. Shoumen, Bulgaria"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/w7ew3acn2ffkpan623xdag7w4y" style="color: black;">RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning</a> </i> &nbsp;
We describe in this paper a hybrid approach to build automatically bilingual lexicons of Multiword Expressions (MWEs) from parallel corpora. We more specifically investigate the impact of using a domain-specific bilingual lexicon of MWEs on domain adaptation of an Example-Based Machine Translation (EBMT) system. We conducted experiments on the English-French language pair and two kinds of texts: in-domain texts from Europarl (European Parliament proceedings) and out-of-domain texts from Emea
more &raquo; ... ropean Medicines Agency documents) and Ecb (European Central Bank corpus). The obtained results indicate that integrating domain-specific bilingual lexicons of MWEs improves translation quality of the EBMT system when texts to translate are related to the specific domain and induces a relatively slight deterioration of translation quality when translating generalpurpose texts.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.26615/978-954-452-049-6_085">doi:10.26615/978-954-452-049-6_085</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ranlp/SemmarL17.html">dblp:conf/ranlp/SemmarL17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vqntvxdh5nghldwvajeeiph7vy">fatcat:vqntvxdh5nghldwvajeeiph7vy</a> </span>
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