Papers with inducing word translations

2 papers
A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction (2020.acl-main)

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Challenge: Recent methods for bilingual lexicon induction are based on unsupervised cross-lingual word embeddings . previous methods only use word-level information, which is limited and inaccurate .
Approach: They propose a graph-based approach to induce bilingual lexicons in a coarse-to-fine way . they use word cliques from graphs and aligned clique-level words to find initial translation solution .
Outcome: The proposed method improves the performance of bilingual lexicon induction compared with previous methods.
A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction (2023.findings-emnlp)

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Challenge: Bilingual lexicon induction (BLI) is the task of inducing word translations with a learned mapping function that aligns monolingual word embedding spaces in two different languages.
Approach: They propose a model that explicitly captures multiple topological structure information to achieve accurate bilingual lexicon induction.
Outcome: The proposed model captures multiple topological structure information to achieve accurate BLI on a public dataset.

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