Language models are multilingual chain-of-thought reasoners
We evaluate the reasoning abilities of large language models in multilingual settings. We
introduce the Multilingual Grade School Math (MGSM) benchmark, by manually translating …
introduce the Multilingual Grade School Math (MGSM) benchmark, by manually translating …
Dictionary-based phrase-level prompting of large language models for machine translation
Large language models (LLMs) demonstrate remarkable machine translation (MT) abilities
via prompting, even though they were not explicitly trained for this task. However, even given …
via prompting, even though they were not explicitly trained for this task. However, even given …
Improving word translation via two-stage contrastive learning
Word translation or bilingual lexicon induction (BLI) is a key cross-lingual task, aiming to
bridge the lexical gap between different languages. In this work, we propose a robust and …
bridge the lexical gap between different languages. In this work, we propose a robust and …
Automatic translation alignment for ancient greek and latin
T Yousef, C Palladino, DJ Wright… - Proceedings of the …, 2022 - aclanthology.org
This paper presents the results of automatic translation alignment experiments on a corpus
of texts in Ancient Greek translated into Latin. We used a state-of-the-art alignment workflow …
of texts in Ancient Greek translated into Latin. We used a state-of-the-art alignment workflow …
Improving bilingual lexicon induction with cross-encoder reranking
Bilingual lexicon induction (BLI) with limited bilingual supervision is a crucial yet challenging
task in multilingual NLP. Current state-of-the-art BLI methods rely on the induction of cross …
task in multilingual NLP. Current state-of-the-art BLI methods rely on the induction of cross …
Combining static word embeddings and contextual representations for bilingual lexicon induction
Bilingual Lexicon Induction (BLI) aims to map words in one language to their translations in
another, and is typically through learning linear projections to align monolingual word …
another, and is typically through learning linear projections to align monolingual word …
Multilingual sentence transformer as a multilingual word aligner
Multilingual pretrained language models (mPLMs) have shown their effectiveness in
multilingual word alignment induction. However, these methods usually start from mBERT or …
multilingual word alignment induction. However, these methods usually start from mBERT or …
MUSEDA: multilingual unsupervised and supervised embedding for domain adaption
Based on the assumption of isomorphism, approaches for generating high-quality, low-cost
multilingual word embeddings (MLWEs) have been critical mechanisms for facilitating …
multilingual word embeddings (MLWEs) have been critical mechanisms for facilitating …
CombAlign: a tool for obtaining high-quality word alignments
Being able to generate accurate word alignments is useful for a variety of tasks. While
statistical word aligners can work well, especially when parallel training data are plentiful …
statistical word aligners can work well, especially when parallel training data are plentiful …
Substructure distribution projection for zero-shot cross-lingual dependency parsing
We present substructure distribution projection (SubDP), a technique that projects a
distribution over structures in one domain to another, by projecting substructure distributions …
distribution over structures in one domain to another, by projecting substructure distributions …