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