We evaluate the reasoning abilities of large language models in multilingual settings. We
introduce the Multilingual Grade School Math (MGSM) benchmark, by manually translating …

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 …

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 …

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 …

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 …

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 …

Multilingual pretrained language models (mPLMs) have shown their effectiveness in
multilingual word alignment induction. However, these methods usually start from mBERT or …

Based on the assumption of isomorphism, approaches for generating high-quality, low-cost
multilingual word embeddings (MLWEs) have been critical mechanisms for facilitating …

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 …

We present substructure distribution projection (SubDP), a technique that projects a
distribution over structures in one domain to another, by projecting substructure distributions …