Papers with unsupervised word alignment

2 papers
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment (2021.acl-long)

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Challenge: Existing methods for bilingual lexicon induction are linear and require simplifying assumptions.
Approach: They propose methods that combine unsupervised bitext mining and unsupervised word alignment to produce higher quality lexicons.
Outcome: The proposed method outperforms the state-of-the-art on the BUCC 2020 task by 14 F1 points . further analysis suggests they are comparable quality .
A Simple Approach to Learning Unsupervised Multilingual Embeddings (2020.emnlp-main)

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Challenge: Recent work on unsupervised cross-lingual embeddings in the bilingual setting has given the impetus to learning a shared embeddable space for several languages.
Approach: They propose to solve two sub-problems together to learn a shared embedding space for several languages.
Outcome: The proposed approach outperforms existing methods in bilingual lexicon induction, cross-lingual word similarity, multilingual document classification, and multilingual dependency parsing tasks.

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