David Yarowsky — accepted AI-conference papers

2025

DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models

Niyati Bafna, Emily Chang, Nathaniel Romney Robinson, David R. Mortensen, Kenton Murray, David Yarowsky +1

ACL 2025long

Most of the world’s languages and dialects are low-resource, and lack support in mainstream machine translation (MT) models. However, many of them have a closely-related high-resource language (HRL) neighbor, and differ in linguistically regular ways from it. This underscores the importance of model…

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2024

Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization

Niyati Bafna, Kenton Murray, David Yarowsky

EMNLP 2024main

While large language models exhibit certain cross-lingual generalization capabilities, they suffer from performance degradation (PD) on unseen closely-related languages (CRLs) and dialects relative to their high-resource language neighbour (HRLN). However, we currently lack a fundamental understandi…

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2022

Deciphering and Characterizing Out-of-Vocabulary Words for Morphologically Rich Languages

Georgie Botev, Arya D. McCarthy, Winston Wu, David Yarowsky

COLING 2022main

This paper presents a detailed foundational empirical case study of the nature of out-of-vocabulary words encountered in modern text in a moderate-resource language such as Bulgarian, and a multi-faceted distributional analysis of the underlying word-formation processes that can aid in their composi…

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2020

Neural Transduction for Multilingual Lexical Translation

Dylan Lewis, Winston Wu, Arya D. McCarthy, David Yarowsky

COLING 2020main

We present a method for completing multilingual translation dictionaries. Our probabilistic approach can synthesize new word forms, allowing it to operate in settings where correct translations have not been observed in text (cf. cross-lingual embeddings). In addition, we propose an approximate Maxi…

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2020

Wiktionary Normalization of Translations and Morphological Information

Winston Wu, David Yarowsky

COLING 2020main

We extend the Yawipa Wiktionary Parser (Wu and Yarowsky, 2020) to extract and normalize translations from etymology glosses, and morphological form-of relations, resulting in 300K unique translations and over 4 million instances of 168 annotated morphological relations. We propose a method to identi…

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