Search Results for author: Arya D. McCarthy

Found 39 papers, 9 papers with code

Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering

no code implementations ACL (SIGMORPHON) 2021 Adam Wiemerslage, Arya D. McCarthy, Alexander Erdmann, Garrett Nicolai, Manex Agirrezabal, Miikka Silfverberg, Mans Hulden, Katharina Kann

We describe the second SIGMORPHON shared task on unsupervised morphology: the goal of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering is to cluster word types from a raw text corpus into paradigms.


Hong Kong: Longitudinal and Synchronic Characterisations of Protest News between 1998 and 2020

no code implementations LREC 2022 Arya D. McCarthy, Giovanna Maria Dora Dore

This paper showcases the utility and timeliness of the Hong Kong Protest News Dataset, a highly curated collection of news articles from diverse news sources, to investigate longitudinal and synchronic news characterisations of protests in Hong Kong between 1998 and 2020.

A Mixed-Methods Analysis of Western and Hong Kong–based Reporting on the 2019–2020 Protests

no code implementations EMNLP (LaTeCHCLfL, CLFL, LaTeCH) 2021 Arya D. McCarthy, James Scharf, Giovanna Maria Dora Dore

We apply statistical techniques from natural language processing to Western and Hong Kong–based English language newspaper articles that discuss the 2019–2020 Hong Kong protests of the Anti-Extradition Law Amendment Bill Movement.

Sentiment Analysis

Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions

no code implementations EMNLP 2020 Arya D. McCarthy, Adina Williams, Shijia Liu, David Yarowsky, Ryan Cotterell

Of particular interest, languages on the same branch of our phylogenetic tree are notably similar, whereas languages from separate branches are no more similar than chance.

Community Detection

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

no code implementations COLING 2022 Georgie Botev, Arya D. McCarthy, Winston Wu, David Yarowsky

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 compositional translation, tagging, parsing, language modeling, and other NLP tasks.

Language Modelling Machine Translation +1

Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020

no code implementations ACL (CASE) 2021 James Scharf, Arya D. McCarthy, Giovanna Maria Dora Dore

We apply statistical techniques from natural language processing to a collection of Western and Hong Kong–based English-language newspaper articles spanning the years 1998–2020, studying the difference and evolution of its portrayal.

Jump-Starting Item Parameters for Adaptive Language Tests

no code implementations EMNLP 2021 Arya D. McCarthy, Kevin P. Yancey, Geoff T. LaFlair, Jesse Egbert, Manqian Liao, Burr Settles

A challenge in designing high-stakes language assessments is calibrating the test item difficulties, either a priori or from limited pilot test data.

Language Acquisition Multi-Task Learning +1

Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models

no code implementations20 Oct 2023 Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Ke wu

One challenge in speech translation is that plenty of spoken content is long-form, but short units are necessary for obtaining high-quality translations.

Hallucination Translation

Improved Long-Form Spoken Language Translation with Large Language Models

no code implementations19 Dec 2022 Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Axel H. Ng

A challenge in spoken language translation is that plenty of spoken content is long-form, but short units are necessary for obtaining high-quality translations.

Language Modelling Large Language Model +1

A Major Obstacle for NLP Research: Let's Talk about Time Allocation!

no code implementations30 Nov 2022 Katharina Kann, Shiran Dudy, Arya D. McCarthy

The field of natural language processing (NLP) has grown over the last few years: conferences have become larger, we have published an incredible amount of papers, and state-of-the-art research has been implemented in a large variety of customer-facing products.

UniMorph 4.0: Universal Morphology

no code implementations LREC 2022 Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieraś, Gábor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate, Maria Ryskina, Sabrina J. Mielke, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Lane, Mohit Raj, Matt Coler, Jaime Rafael Montoya Samame, Delio Siticonatzi Camaiteri, Benoît Sagot, Esaú Zumaeta Rojas, Didier López Francis, Arturo Oncevay, Juan López Bautista, Gema Celeste Silva Villegas, Lucas Torroba Hennigen, Adam Ek, David Guriel, Peter Dirix, Jean-Philippe Bernardy, Andrey Scherbakov, Aziyana Bayyr-ool, Antonios Anastasopoulos, Roberto Zariquiey, Karina Sheifer, Sofya Ganieva, Hilaria Cruz, Ritván Karahóǧa, Stella Markantonatou, George Pavlidis, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Candy Angulo, Jatayu Baxi, Andrew Krizhanovsky, Natalia Krizhanovskaya, Elizabeth Salesky, Clara Vania, Sardana Ivanova, Jennifer White, Rowan Hall Maudslay, Josef Valvoda, Ran Zmigrod, Paula Czarnowska, Irene Nikkarinen, Aelita Salchak, Brijesh Bhatt, Christopher Straughn, Zoey Liu, Jonathan North Washington, Yuval Pinter, Duygu Ataman, Marcin Wolinski, Totok Suhardijanto, Anna Yablonskaya, Niklas Stoehr, Hossep Dolatian, Zahroh Nuriah, Shyam Ratan, Francis M. Tyers, Edoardo M. Ponti, Grant Aiton, Aryaman Arora, Richard J. Hatcher, Ritesh Kumar, Jeremiah Young, Daria Rodionova, Anastasia Yemelina, Taras Andrushko, Igor Marchenko, Polina Mashkovtseva, Alexandra Serova, Emily Prud'hommeaux, Maria Nepomniashchaya, Fausto Giunchiglia, Eleanor Chodroff, Mans Hulden, Miikka Silfverberg, Arya D. McCarthy, David Yarowsky, Ryan Cotterell, Reut Tsarfaty, Ekaterina Vylomova

The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.

Morphological Inflection

Morphological Processing of Low-Resource Languages: Where We Are and What's Next

no code implementations16 Mar 2022 Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya D. McCarthy, Garrett Nicolai, Eliana Colunga, Katharina Kann

Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages.

On the Uncomputability of Partition Functions in Energy-Based Sequence Models

no code implementations ICLR 2022 Chu-Cheng Lin, Arya D. McCarthy

In this paper, we argue that energy-based sequence models backed by expressive parametric families can result in uncomputable and inapproximable partition functions.

Model Selection

AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition

no code implementations25 Jan 2021 Nibhrat Lohia, Raunak Mundada, Arya D. McCarthy, Eric C. Larson

We introduce AirWare, an in-air hand-gesture recognition system that uses the already embedded speaker and microphone in most electronic devices, together with embedded infrared proximity sensors.

Hand Gesture Recognition Hand-Gesture Recognition Human-Computer Interaction

The human unlikeness of neural language models in next-word prediction

no code implementations WS 2020 Cass Jacobs, ra L., Arya D. McCarthy

The training objective of unidirectional language models (LMs) is similar to a psycholinguistic benchmark known as the cloze task, which measures next-word predictability.

Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation

no code implementations ACL 2020 Arya D. McCarthy, Xi-An Li, Jiatao Gu, Ning Dong

This paper proposes a simple and effective approach to address the problem of posterior collapse in conditional variational autoencoders (CVAEs).

de-en Machine Translation +2

The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education

no code implementations WS 2020 Huda Khayrallah, Jacob Bremerman, Arya D. McCarthy, Kenton Murray, Winston Wu, Matt Post

This paper presents the Johns Hopkins University submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education (STAPLE).

Machine Translation Translation

Predicting Declension Class from Form and Meaning

1 code implementation ACL 2020 Adina Williams, Tiago Pimentel, Arya D. McCarthy, Hagen Blix, Eleanor Chodroff, Ryan Cotterell

We find for two Indo-European languages (Czech and German) that form and meaning respectively share significant amounts of information with class (and contribute additional information above and beyond gender).

Massively Multilingual Pronunciation Modeling with WikiPron

no code implementations LREC 2020 Jackson L. Lee, Lucas F.E. Ashby, M. Elizabeth Garza, Yeonju Lee-Sikka, Sean Miller, Alan Wong, Arya D. McCarthy, Kyle Gorman

We introduce WikiPron, an open-source command-line tool for extracting pronunciation data from Wiktionary, a collaborative multilingual online dictionary.

Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages

no code implementations LREC 2020 Garrett Nicolai, Dylan Lewis, Arya D. McCarthy, Aaron Mueller, Winston Wu, David Yarowsky

Exploiting the broad translation of the Bible into the world{'}s languages, we train and distribute morphosyntactic tools for approximately one thousand languages, vastly outstripping previous distributions of tools devoted to the processing of inflectional morphology.


An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages

no code implementations LREC 2020 Aaron Mueller, Garrett Nicolai, Arya D. McCarthy, Dylan Lewis, Winston Wu, David Yarowsky

We find that best practices in this domain are highly language-specific: adding more languages to a training set is often better, but too many harms performance{---}the best number depends on the source language.

Low Resource Neural Machine Translation Low-Resource Neural Machine Translation +1

SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech Translation

1 code implementation27 Feb 2020 Arya D. McCarthy, Liezl Puzon, Juan Pino

Our method compares favorably to SpecAugment on English$\to$French and English$\to$Romanian automatic speech translation (AST) tasks as well as on a low-resource English automatic speech recognition (ASR) task.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection

no code implementations WS 2019 Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Garrett Nicolai, Christo Kirov, Miikka Silfverberg, Sabrina J. Mielke, Jeffrey Heinz, Ryan Cotterell, Mans Hulden

The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in morphology examined transfer learning of inflection between 100 language pairs, as well as contextual lemmatization and morphosyntactic description in 66 languages.

Cross-Lingual Transfer Lemmatization +3

Modeling Color Terminology Across Thousands of Languages

1 code implementation IJCNLP 2019 Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, David Yarowsky

There is an extensive history of scholarship into what constitutes a "basic" color term, as well as a broadly attested acquisition sequence of basic color terms across many languages, as articulated in the seminal work of Berlin and Kay (1969).

Improved Variational Neural Machine Translation by Promoting Mutual Information

no code implementations19 Sep 2019 Arya D. McCarthy, Xi-An Li, Jiatao Gu, Ning Dong

Posterior collapse plagues VAEs for text, especially for conditional text generation with strong autoregressive decoders.

Conditional Text Generation Decoder +2

Meaning to Form: Measuring Systematicity as Information

1 code implementation ACL 2019 Tiago Pimentel, Arya D. McCarthy, Damián E. Blasi, Brian Roark, Ryan Cotterell

A longstanding debate in semiotics centers on the relationship between linguistic signs and their corresponding semantics: is there an arbitrary relationship between a word form and its meaning, or does some systematic phenomenon pervade?

The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

no code implementations CONLL 2018 Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, Sabrina J. Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden

Apart from extending the number of languages involved in earlier supervised tasks of generating inflected forms, this year the shared task also featured a new second task which asked participants to inflect words in sentential context, similar to a cloze task.

LEMMA Task 2

Marrying Universal Dependencies and Universal Morphology

no code implementations WS 2018 Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, Mans Hulden, David Yarowsky

The Universal Dependencies (UD) and Universal Morphology (UniMorph) projects each present schemata for annotating the morphosyntactic details of language.

Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation

1 code implementation WS 2018 Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn

To better understand the effectiveness of continued training, we analyze the major components of a neural machine translation system (the encoder, decoder, and each embedding space) and consider each component's contribution to, and capacity for, domain adaptation.

Decoder Domain Adaptation +2

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