Papers with cross-lingual word representations

3 papers
Unsupervised Cross-Lingual Representation Learning (P19-4)

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Challenge: a comprehensive survey of cutting-edge weakly-supervised and unsupervised cross-lingual word representations is presented .
Approach: This tutorial provides a comprehensive survey of recent work on weakly-supervised and unsupervised cross-lingual word representations.
Outcome: This tutorial provides a comprehensive survey of cutting-edge weakly-supervised and unsupervised word representations.
Low-Resource Syntactic Transfer with Unsupervised Source Reordering (N19-1)

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Challenge: Existing methods for dependency parsing use word order differences between source and target languages.
Approach: They propose a cross-lingual transfer method that takes into account word order differences between source and target languages.
Outcome: The proposed method improves on 68 treebanks (38 languages) on a target language.
On Bilingual Lexicon Induction with Large Language Models (2023.emnlp-main)

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Challenge: Existing approaches to induction bilingual lexicons still require cross-lingual word representations . a recent study shows that few-shot prompting with in-context examples from nearest neighbours achieves the best performance .
Approach: They examine whether it is possible to prompt and fine-tune multilingual LLMs for BLI . they experiment with 18 open-source text-to-text mLLMs of different sizes .
Outcome: The proposed approach is compared with existing approaches on two standard BLI benchmarks covering a range of typologically diverse languages.

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