Creating a Translation Matrix of the Bible's Names Across 591 Languages. - Winston Wu; Nidhi Vyas; David Yarowsky (LREC, 2018)

Creating Large-Scale Multilingual Cognate Tables. - Winston Wu; David Yarowsky (LREC, 2018)

A Comparative Study of Extremely Low-Resource Transliteration of the World's Languages. - Winston Wu; David Yarowsky (LREC, 2018)

Massively Translingual Compound Analysis and Translation Discovery. - Winston Wu; David Yarowsky (LREC, 2018)

Modeling Color Terminology Across Thousands of Languages. - Arya D. McCarthy; Winston Wu; Aaron Mueller; Bill Watson; David Yarowsky (EMNLP/IJCNLP (1), 2019)

An Exploration of Placeholding in Neural Machine Translation. - Matt Post; Shuoyang Ding; Marianna J. Martindale; Winston Wu (MTSummit (1), 2019)

The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education. - Huda Khayrallah; Jacob Bremerman; Arya D. McCarthy; Kenton Murray; Winston Wu; Matt Post (NGT@ACL, 2020)

Neural Transduction for Multilingual Lexical Translation. - Dylan Lewis; Winston Wu; Arya D. McCarthy; David Yarowsky (COLING, 2020)

Wiktionary Normalization of Translations and Morphological Information. - Winston Wu; David Yarowsky (COLING, 2020)

The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration. - Arya D. McCarthy; Rachel Wicks; Dylan Lewis; Aaron Mueller; Winston Wu; Oliver Adams; Garrett Nicolai; Matt Post; David Yarowsky (LREC, 2020)

An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages. - Aaron Mueller; Garrett Nicolai; Arya D. McCarthy; Dylan Lewis; Winston Wu; David Yarowsky (LREC, 2020)

Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages. - Garrett Nicolai; Dylan Lewis; Arya D. McCarthy; Aaron Mueller; Winston Wu; David Yarowsky (LREC, 2020)

Multilingual Dictionary Based Construction of Core Vocabulary. - Winston Wu; Garrett Nicolai; David Yarowsky (LREC, 2020)

Computational Etymology and Word Emergence. - Winston Wu; David Yarowsky (LREC, 2020)

Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks. - Winston Wu; Dustin Arendt; Svitlana Volkova (CoRR, 2020)

On Pronunciations in Wiktionary: Extraction and Experiments on Multilingual Syllabification and Stress Prediction. - Winston Wu; David Yarowsky (BUCC@RANLP, 2021)

Sequence Models for Computational Etymology of Borrowings. - Winston Wu; Kevin Duh; David Yarowsky (ACL/IJCNLP (Findings), 2021)

Evaluating Neural Model Robustness for Machine Comprehension. - Winston Wu; Dustin Arendt; Svitlana Volkova (EACL, 2021)

Deciphering and Characterizing Out-of-Vocabulary Words for Morphologically Rich Languages. - Georgie Botev; Arya D. McCarthy; Winston Wu; David Yarowsky (COLING, 2022)

Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. - Changyuan Qiu; Winston Wu; Xinliang Frederick Zhang; Lu Wang 008 (EMNLP, 2022)

Known Words Will Do: Unknown Concept Translation via Lexical Relations. - Winston Wu; David Yarowsky (LoResMT@COLING, 2022)

On the Robustness of Cognate Generation Models. - Winston Wu; David Yarowsky (LREC, 2022)

You Are What You Annotate: Towards Better Models through Annotator Representations. - Naihao Deng; Xinliang Frederick Zhang; Siyang Liu 003; Winston Wu; Lu Wang 008; Rada Mihalcea (EMNLP (Findings), 2023)

Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. - Winston Wu; Lu Wang 008; Rada Mihalcea (EMNLP, 2023)

Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. - Kaijian Zou; Xinliang Frederick Zhang; Winston Wu; Nicholas Beauchamp; Lu Wang 008 (EMNLP (Findings), 2023)

The SIGMORPHON 2022 Shared Task on Cross-lingual and Low-Resource Grapheme-to-Phoneme Conversion. - Arya D. McCarthy; Jackson L. Lee; Alexandra DeLucia; Travis Bartley; Milind Agarwal; Lucas F. E. Ashby; Luca Del Signore; Cameron Gibson; Reuben Raff; Winston Wu (SIGMORPHON, 2023)

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (CoRR, 2023)

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms. - Naihao Deng; Yikai Liu; Mingye Chen; Winston Wu; Siyang Liu 003; Yulong Chen 001; Yue Zhang 004; Rada Mihalcea (CoRR, 2023)

Analyzing Occupational Distribution Representation in Japanese Language Models. - Katsumi Ibaraki; Winston Wu; Lu Wang 008; Rada Mihalcea (LREC/COLING, 2024)

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (LREC/COLING, 2024)

MOKA: Moral Knowledge Augmentation for Moral Event Extraction. - Xinliang Frederick Zhang; Winston Wu; Nicholas Beauchamp; Lu Wang 008 (NAACL-HLT, 2024)