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Multi-word expressions (MWEs) are a hot topic in research in natural languageprocessing (NLP), including topics such as MWE detection, MWE decomposition,and research investigating the exploitation of MWEs in other NLP fields such asMachine Translation. However, the availability of bilingual or multi-lingualMWE corpora is very limited. The only bilingual MWE corpora that we are awareof is from the PARSEME (PARSing and Multi-word Expressions) EU Project. This isa small collection of only 871 pairs of English-German MWEs. In this paper, wepresent multi-lingual and bilingual MWE corpora that we have extracted fromroot parallel corpora. Our collections are 3,159,226 and 143,042 bilingual MWEpairs for German-English and Chinese-English respectively after filtering. Weexamine the quality of these extracted bilingual MWEs in MT experiments. Ourinitial experiments applying MWEs in MT show improved translation performanceson MWE terms in qualitative analysis and better general evaluation scores inquantitative analysis, on both German-English and Chinese-English languagepairs. We follow a standard experimental pipeline to create our MultiMWEcorpora which are available online. Researchers can use this free corpus fortheir own models or use them in a knowledge base as model features.

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora