David Mortensen

David Mortensen

Carnegie Mellon University

H-index: 17

North America-United States

About David Mortensen

David Mortensen, With an exceptional h-index of 17 and a recent h-index of 13 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of NLP, linguistics, phonology, morphology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Phonotactic Complexity across Dialects

Neural Proto-Language Reconstruction

Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study

Improved Neural Protoform Reconstruction via Reflex Prediction

Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons

Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs

Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding

Large-scale computerized forward reconstruction yields new perspectives in French diachronic phonology

David Mortensen Information

University

Position

___

Citations(all)

1446

Citations(since 2020)

1103

Cited By

675

hIndex(all)

17

hIndex(since 2020)

13

i10Index(all)

33

i10Index(since 2020)

22

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

David Mortensen Skills & Research Interests

NLP

linguistics

phonology

morphology

Top articles of David Mortensen

Title

Journal

Author(s)

Publication Date

Phonotactic Complexity across Dialects

arXiv preprint arXiv:2402.12998

Ryan Soh-Eun Shim

Kalvin Chang

David R Mortensen

2024/2/20

Neural Proto-Language Reconstruction

arXiv preprint arXiv:2404.15690

Chenxuan Cui

Ying Chen

Qinxin Wang

David R Mortensen

2024/4/24

Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study

arXiv preprint arXiv:2402.01582

Kalvin Chang

Nathaniel R Robinson

Anna Cai

Ting Chen

Annie Zhang

...

2024/2/2

Improved Neural Protoform Reconstruction via Reflex Prediction

arXiv preprint arXiv:2403.18769

Liang Lu

Jingzhi Wang

David R Mortensen

2024/3/27

Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons

arXiv preprint arXiv:2403.17760

Shijia Zhou

Leonie Weissweiler

Taiqi He

Hinrich Schütze

David R Mortensen

...

2024/3/26

Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs

arXiv preprint arXiv:2403.17856

David R Mortensen

Valentina Izrailevitch

Yunze Xiao

Hinrich Schütze

Leonie Weissweiler

2024/3/26

Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding

arXiv preprint arXiv:2402.14279

Haeji Jung

Changdae Oh

Jooeon Kang

Jimin Sohn

Kyungwoo Song

...

2024/2/22

Large-scale computerized forward reconstruction yields new perspectives in French diachronic phonology

Diachronica

Clayton Marr

David Mortensen

2023/4/18

A Review of the Applications of Deep Learning-Based Emergent Communication

Brendon Boldt

David R Mortensen

2023/8/25

African Substrates Rather Than European Lexifiers to Augment African-diaspora Creole Translation

Nathaniel Romney Robinson

Matthew Dean Stutzman

Stephen D Richardson

David R Mortensen

2023/4/15

Multilingual TTS Accent Impressions for Accented ASR

Georgios Karakasidis

Nathaniel Robinson

Yaroslav Getman

Atieno Ogayo

Ragheb Al-Ghezi

...

2023/8/23

Pwesuite: Phonetic word embeddings and tasks they facilitate

arXiv preprint arXiv:2304.02541

Vilém Zouhar

Kalvin Chang

Chenxuan Cui

Nathaniel Carlson

Nathaniel Robinson

...

2023/4/5

Calibrated seq2seq models for efficient and generalizable ultra-fine entity typing

arXiv preprint arXiv:2311.00835

Yanlin Feng

Adithya Pratapa

David R Mortensen

2023/11/1

Transformed protoform reconstruction

arXiv preprint arXiv:2307.01896

Young Min Kim

Kalvin Chang

Chenxuan Cui

David Mortensen

2023/7/4

Construction grammar provides unique insight into neural language models

arXiv preprint arXiv:2302.02178

Leonie Weissweiler

Taiqi He

Naoki Otani

David R Mortensen

Lori Levin

...

2023/2/4

Generalized Glossing Guidelines: An Explicit, Human-and Machine-Readable, Item-and-Process Convention for Morphological Annotation

David R Mortensen

Ela Gulsen

Taiqi He

Nathaniel Robinson

Jonathan Amith

...

2023/7

Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model

arXiv preprint arXiv:2310.15113

Leonie Weissweiler

Valentin Hofmann

Anjali Kantharuban

Anna Cai

Ritam Dutt

...

2023/10/23

SigMoreFun submission to the SIGMORPHON shared task on interlinear glossing

Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology

Taiqi He

Lindia Tjuatja

Nathaniel Robinson

Shinji Watanabe

David R Mortensen

...

2023/1

Do all languages cost the same? tokenization in the era of commercial language models

arXiv preprint arXiv:2305.13707

Orevaoghene Ahia

Sachin Kumar

Hila Gonen

Jungo Kasai

David R Mortensen

...

2023/5/23

ChatGPT MT: Competitive for high-(but not low-) resource languages

WMT 2023

Nathaniel R Robinson

Perez Ogayo

David R Mortensen

Graham Neubig

2023/9/14

See List of Professors in David Mortensen University(Carnegie Mellon University)

Co-Authors

H-index: 82
Graham Neubig

Graham Neubig

Carnegie Mellon University

H-index: 78
Alan W Black

Alan W Black

Carnegie Mellon University

H-index: 74
Shinji Watanabe

Shinji Watanabe

Carnegie Mellon University

H-index: 53
Florian Metze

Florian Metze

Carnegie Mellon University

H-index: 40
Yulia Tsvetkov

Yulia Tsvetkov

Carnegie Mellon University

H-index: 37
Lori Levin

Lori Levin

Carnegie Mellon University

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