David R. Mortensen
Associate Research Professor
Studies computational linguistics, including phonology, morphology and NLP for low-resource languages.
David R. Mortensen's lab at CMU works on multilingual, translation & linguistics. 49 papers since 2023, 20 at top venues, mostly ACL and EMNLP. 3 PhD students and 2 master's students. 16 alumni, most often to Meta and NVIDIA. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 41%
- PhD students
- 3
- MS students
- 2
- alumni listed
- 16
Papers by yearfrom the lab homepage, 2023–2026
- 16 papers2026 · T1 6 · collecting
- 10 papers2025 · T1 7
- 10 papers2024 · T1 4
- 13 papers2023 · T1 3
T1 venuesOtherVenues: ACL, EMNLP, Interspeech, LREC, Findings of ACL
Research focuspaper titles that use each topic's words
- Multilingual, translation & linguistics8 papers
- low-resource3 papers
- low-resource languages2 papers
- morphology1 paper
- computational linguistics0 papers
Paper list
From the lab homepage.
202616 papers
- Findings of ACL[b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic
- Interspeech (T1)Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson’s Disease
- Interspeech (T1)An Empirical Recipe for Universal Phone Recognition
- ACL (T1)Communicating in Emergent Language with an Induced Morphological Phrasebook
- Proceedings of the Fifteenth Language Resources and Evaluation ConferenceCS-YODAS: A Mined Dataset of In-the-Wild Code-Switched Speech
- SLTFinding my voice: Generative reconstruction of disordered speech for automated clinical evaluation
- The Proceedings for the International Workshop on Computational Approaches to Language ChangeFrom sunblock to softblock: Analyzing the correlates of neology in published writing and on social media
- EACLHappiness is Sharing a Vocabulary: A Study of Transliteration Methods
- LM4UCHarnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties
- Findings of ACLLinear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration
- Findings of ACLPBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics
- SLTPhone Segmentation and Recognition through Phonological Activation Mapping
202510 papers
- PNAS (T1)Derivational morphology reveals analogical generalization in large language models
- ACL (T1)DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models
- EMBCDomain-Specific Multilingual Strategies for Medical NLP: A Cross-Lingual Analysis of Orthographic and Phonemic Representations
- Proceedings of the Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language TechnologiesLeveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment
- EMNLP (T1)Morpheme Induction for Emergent Language
- ACL (T1)Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction
- EMNLP (T1)Searching for the Most Human-like Emergent Language
- Proceedings of the International Joint Conference on Natural Language Processing and the Conference of the Asia-Pacific Chapter of the Association for Computational LinguisticsThe Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure
- Interspeech (T1)Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages
- ACL (T1)ZIPA: A family of efficient models for multilingual phone recognition
202410 papers
- TMLR (T1)A Review of the Applications of Deep Learning-Based Emergent Communication
- LRECConstructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons
- LRECImproved Neural Protoform Reconstruction via Reflex Prediction
- LRECPhonotactic Complexity across Dialects
- LRECPWESuite: Phonetic Word Embeddings and Tasks They Facilitate
- Interspeech (T1)Self-supervised Speech Representations Still Struggle with African American Vernacular English
- ACL (T1)Semisupervised Neural Proto-Language Reconstruction
- LRECVerbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs
- Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesXferBench: a Data-Driven Benchmark for Emergent Language
- EMNLP (T1)Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
202313 papers
- Workshop on African Natural Language ProcessingAfrican Substrates Rather Than European Lexifiers to Augment African-diaspora Creole Translation
- Proceedings of the Workshop on Computational Approaches to Historical Language ChangeAutomating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study
- Findings of EMNLPCalibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing
- Proceedings of the Eighth Conference on Machine TranslationChatGPT MT: Competitive for High- (but Not Low-) Resource Languages
- Proceedings of the First International Workshop on Construction Grammars and NLPConstruction Grammar Provides Unique Insight into Neural Language Models
- EMNLP (T1)Counting the Bugs in ChatGPT’s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
- EMNLP (T1)Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
- ASRUEvaluating self-supervised speech models on a Taiwanese Hokkien corpus
- Proceedings of the SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and MorphologyGeneralized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation
- Himalayan LinguisticsKuki-Chin Phonology: An Overview
- International Conference on Text, Speech, and DialogueMultilingual TTS Accent Impressions for Accented ASR
- Proceedings of the SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and MorphologySigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing
Where alumni went16 listed, 60% to industry
Industry 3Academia 2
Most often to
- Meta
- NVIDIA
Also to
- MIT
- UT Austin
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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