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