most citedUnsupervised Bilingual Lexicon Induction Across Writing Systems

3 citations · 3 across the 1 of their papers we have counts for

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cs.CL20235 cited

The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation

Patrick Fernandes, Daniel Deutsch, Mara Finkelstein +7

Automatic evaluation of machine translation (MT) is a critical tool driving the rapid iterative development of MT systems. While considerable progress has been made on estimating a…

cs.CL2023

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages

Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin +24

Data scarcity is a crucial issue for the development of highly multilingual NLP systems. Yet for many under-represented languages (ULs) -- languages for which NLP re-search is part…

cs.CL2023

PaLM 2 Technical Report

Rohan Anil, Andrew M. Dai, Orhan Firat +125

We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 i…

cs.CL20203 cited

Unsupervised Bilingual Lexicon Induction Across Writing Systems

Parker Riley, Daniel Gildea

Recent embedding-based methods in unsupervised bilingual lexicon induction have shown good results, but generally have not leveraged orthographic (spelling) information, which can…

cs.CL2019

Translationese as a Language in "Multilingual" NMT

Parker Riley, Isaac Caswell, Markus Freitag +1

Machine translation has an undesirable propensity to produce "translationese" artifacts, which can lead to higher BLEU scores while being liked less by human raters. Motivated by t…