Papers with MWE translation

2 papers
Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings (2020.emnlp-main)

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Challenge: Multi-Word Expressions (MWEs) are common in every language, but they are not translated by cross-lingual word embeddings.
Approach: They propose a method for word translation of Multi-Word Expressions (MWEs) they compile lists of MWEs in each language and tokenize them as single tokens before training word embeddings.
Outcome: The proposed method can translate multi-word expressions to and from English in 10 languages.
Multiword Expression aware Neural Machine Translation (2020.lrec-1)

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Challenge: Multiword Expressions (MWEs) are a pervasive phenomenon in all natural languages and challenge NLP applications because of their unpredictable morpho-syntactic and lexico--semantic behaviour.
Approach: They propose to use linguistic resources to improve MWE translation and MWE generation by up to 5.09 BLEU points on MWE test sets.
Outcome: The proposed annotation and data augmentation improve translation quality and increase performance by up to 5.09 BLEU points on MWE test sets.

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