2026

  1. Ryan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang, Ming-Hao Hsu, Florian Eichin, Zhizheng Wu, Alane Suhr, Michael A. Hedderich, David Harwath, David R. Mortensen, and Barbara Plank. 2026. Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang, and David Jurgens, editors, Findings of the Association for Computational Linguistics: ACL 2026, pages 9532–9544, San Diego, California, United States. Association for Computational Linguistics.
  2. Shikhar Bharadwaj, Chin-Jou Li, Kwanghee Choi, Eunjung Yeo, William Chen, Shinji Watanabe, and David R. Mortensen. 2026. An Empirical Recipe for Universal Phone Recognition.
  3. Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim, Kwanghee Choi, Eunjung Yeo, Ryan Soh-Eun Shim, Hanyu Zhou, Brendon Boldt, Karen Rosero Jacome, Kalvin Chang, Darsh Agrawal, Keer Xu, Chao-Han Huck Yang, Jian Zhu, Shinji Watanabe, and David R. Mortensen. 2026. PRiSM: Benchmarking Phone Realization in Speech Models.
  4. Brendon Boldt and David R. Mortensen. 2026. Communicating in Emergent Language with an Induced Morphological Phrasebook. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang, and David Jurgens, editors, Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 30101–30121, San Diego, California, United States. Association for Computational Linguistics.
  5. Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho, David Harwath, and David R. Mortensen. 2026. [b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang, and David Jurgens, editors, Findings of the Association for Computational Linguistics: ACL 2026, pages 11048–11069, San Diego, California, United States. Association for Computational Linguistics.
  6. Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho, David Harwath, and David R. Mortensen. 2026. [b]=[d]-[t]+[p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic.
  7. Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho, David R. Mortensen, and David Harwath. 2026. Self-Supervised Speech Models Encode Phonetic Context via Position-dependent Orthogonal Subspaces.
  8. Haeji Jung, Jinju Kim, Kyungjin Kim, Youjeong Roh, and David R. Mortensen. 2026. Happiness is Sharing a Vocabulary: A Study of Transliteration Methods. In Vera Demberg, Kentaro Inui, and Lluís Marquez, editors, Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7797–7816, Rabat, Morocco. Association for Computational Linguistics.
  9. Jinju Kim, Haeji Jung, Youjeong Roh, Jong Hwan Ko, and David R. Mortensen. 2026. Harnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties. In Claire Bonial and Yevgeni Berzak, editors, Proceedings of the 30th Conference on Computational Natural Language Learning, pages 284–300, San Diego, California, USA. Association for Computational Linguistics.
  10. Chin-Jou Li, Kalvin Chang, Shikhar Bharadwaj, Eunjung Yeo, Kwanghee Choi, Jian Zhu, David R. Mortensen, and Shinji Watanabe. 2026. POWSM: A Phonetic Open Whisper-Style Speech Foundation Model. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang, and David Jurgens, editors, Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 17882–17899, San Diego, California, United States. Association for Computational Linguistics.
  11. Chin-Jou Li, Kalvin Chang, Shikhar Bharadwaj, Eunjung Yeo, Kwanghee Choi, Jian Zhu, David Mortensen, and Shinji Watanabe. 2026. POWSM: A Phonetic Open Whisper-Style Speech Foundation Model.
  12. Atharva Naik, Darsh Agrawal, Prakam, Yash Mathur, Manav Kapadnis, Yuwei An, Clayton Marr, Carolyn Rose, and David Mortensen. 2026. PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang, and David Jurgens, editors, Findings of the Association for Computational Linguistics: ACL 2026, pages 8877–8918, San Diego, California, United States. Association for Computational Linguistics.
  13. Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, David R. Mortensen, Taylor Berg-Kirkpatrick, and Vivek Kulkarni. 2026. From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media. In Nina Tahmasebi, Pierluigi Cassotti, Syrielle Montariol, Andrey Kutuzov, Netta Huebscher, Elena Spaziani, and Naomi Baes, editors, The Proceedings for the 6th International Workshop on Computational Approaches to Language Change (LChange’26), pages 162–180, Rabat, Morocco. Association for Computational Linguistics.
  14. Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim, Kwanghee Choi, Eunjung Yeo, Ryan Soh-Eun Shim, Hanyu Zhou, Brendon Boldt, Karen Rosero, Kalvin Chang, Darsh Agrawal, Keer Xu, Chao-Han Huck Yang, Jian Zhu, Shinji Watanabe, and David R. Mortensen. 2026. PRiSM: Benchmarking Phone Realization in Speech Models. In Maria Liakata, Viviane P. Moreira, Jiajun Zhang, and David Jurgens, editors, Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 18093–18112, San Diego, California, United States. Association for Computational Linguistics.

2025

  1. Kyungjin Kim, Jinju Kim, Haeji Jung, David R. Mortensen, and Jongmo Seo. 2025. Domain-Specific Multilingual Strategies for Medical NLP: A Cross-Lingual Analysis of Orthographic and Phonemic Representations. In 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 1–6.
  2. Niyati Bafna, Tianjian Li, Kenton Murray, David R. Mortensen, David Yarowsky, Hale Sirin, and Daniel Khashabi. 2025. The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure. In Kentaro Inui, Sakriani Sakti, Haofen Wang, Derek F. Wong, Pushpak Bhattacharyya, Biplab Banerjee, Asif Ekbal, Tanmoy Chakraborty, and Dhirendra Pratap Singh, editors, Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, pages 1541–1568, Mumbai, India. The Asian Federation of Natural Language Processing and The Association for Computational Linguistics.
  3. Brendon Boldt and David R. Mortensen. 2025. Morpheme Induction for Emergent Language. In Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, and Violet Peng, editors, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 25275–25290, Suzhou, China. Association for Computational Linguistics.
  4. Brendon Boldt and David R. Mortensen. 2025. Searching for the Most Human-like Emergent Language. In Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, and Violet Peng, editors, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 23300–23318, Suzhou, China. Association for Computational Linguistics.
  5. Kwanghee Choi, Eunjung Yeo, Kalvin Chang, Shinji Watanabe, and David R Mortensen. 2025. Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment. In Luis Chiruzzo, Alan Ritter, and Lu Wang, editors, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 2613–2628, Albuquerque, New Mexico. Association for Computational Linguistics.
  6. Valentin Hofmann, Leonie Weissweiler, David R. Mortensen, Hinrich Schütze, and Janet B. Pierrehumbert. 2025. Derivational Morphology Reveals Analogical Generalization in Large Language Models. Procedings of the National Academy of Science of the United States of America (PNAS).
  7. Chin-Jou Li, Eunjung Yeo, Kwanghee Choi, Paula Andrea Pérez-Toro, Masao Someki, Rohan Kumar Das, Zhengjun Yue, Juan Rafael Orozco-Arroyave, Elmar Nöth, and David R. Mortensen. 2025. Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages. In Interspeech 2025, pages 2128–2132.
  8. Atharva Naik, Darsh Agrawal, Hong Sng, Clayton Marr, Kexun Zhang, Nathaniel Romney Robinson, Kalvin Chang, Rebecca Byrnes, Aravind Mysore, Carolyn Rose, and David R. Mortensen. 2025. Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction. In Wanxiang Che, Joyce Nabende, Ekaterina Shutova, and Mohammad Taher Pilehvar, editors, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 29628–29647, Vienna, Austria. Association for Computational Linguistics.
  9. Jian Zhu, Farhan Samir, Eleanor Chodroff, and David R. Mortensen. 2025. ZIPA: A family of efficient models for multilingual phone recognition. In Wanxiang Che, Joyce Nabende, Ekaterina Shutova, and Mohammad Taher Pilehvar, editors, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 19568–19585, Vienna, Austria. Association for Computational Linguistics.
  10. Eunjung Yeo, Julie M. Liss, Visar Berisha, and David R. Mortensen. 2025. Applications of Artificial Intelligence for Cross-Language Intelligibility Assessment of Dysarthric Speech. Perspectives of the ASHA Special Interest Groups, 10(6):2298–2308.
  11. Niyati Bafna, Emily Chang, Nathaniel Romney Robinson, David R. Mortensen, Kenton Murray, David Yarowsky, and Hale Sirin. 2025. DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models. In Wanxiang Che, Joyce Nabende, Ekaterina Shutova, and Mohammad Taher Pilehvar, editors, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 20188–20233, Vienna, Austria. Association for Computational Linguistics.

2024

  1. Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nate B. Carlson, Nathaniel Romney Robinson, Mrinmaya Sachan, and David R. Mortensen. 2024. PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 13344–13355, Torino, Italia. ELRA and ICCL.
  2. Brendon Boldt and David R. Mortensen. 2024. A Review of the Applications of Deep Learning-Based Emergent Communication. Transactions on Machine Learning Research.
  3. Kalvin Chang, Yi-Hui Chou, Jiatong Shi, Hsuan-Ming Chen, Nicole Holliday, Odette Scharenborg, and David R. Mortensen. 2024. Self-supervised Speech Representations Still Struggle with African American Vernacular English. In Proc. INTERSPEECH 2024.
  4. Chenxuan Cui, Ying Chen, Qinxin Wang, and David R. Mortensen. 2024. Neural Proto-Language Reconstruction.
  5. Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David Mortensen, and Lori Levin. 2024. Wav2Gloss: Generating Interlinear Glossed Text from Speech. In Lun-Wei Ku, Andre Martins, and Vivek Srikumar, editors, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 568–582, Bangkok, Thailand. Association for Computational Linguistics.
  6. Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, and David R Mortensen. 2024. Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer. In Jonne Sälevä and Abraham Owodunni, editors, Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024), pages 200–211, Miami, Florida, USA. Association for Computational Linguistics.
  7. Liang Lu, Jingzhi Wang, and David R. Mortensen. 2024. Improved Neural Protoform Reconstruction via Reflex Prediction. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 8683–8707, Torino, Italia. ELRA and ICCL.
  8. Liang Lu, Peirong Xie, and David Mortensen. 2024. Semisupervised Neural Proto-Language Reconstruction. In Lun-Wei Ku, Andre Martins, and Vivek Srikumar, editors, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14715–14759, Bangkok, Thailand. Association for Computational Linguistics.
  9. David R. Mortensen, Valentina Izrailevitch, Yunze Xiao, Hinrich Schütze, and Leonie Weissweiler. 2024. Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 17359–17364, Torino, Italia. ELRA and ICCL.
  10. Atharva Naik, Kexun Zhang, Nathaniel Robinson, Aravind Mysore, Clayton Marr, Hong Sng, Rebecca Byrnes, Anna Cai, Kalvin Chang, and David Mortensen. 2024. Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction.
  11. Ryan Soh-Eun Shim, Kalvin Chang, and David R. Mortensen. 2024. Phonotactic Complexity across Dialects. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 12734–12748, Torino, Italia. ELRA and ICCL.
  12. Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, and David R Mortensen. 2024. Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages. In Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen, editors, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 13595–13602, Miami, Florida, USA. Association for Computational Linguistics.
  13. Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, and David R. Mortensen. 2024. Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages.
  14. Shijia Zhou, Leonie Weissweiler, Taiqi He, Hinrich Schütze, David R. Mortensen, and Lori Levin. 2024. Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 3804–3811, Torino, Italia. ELRA and ICCL.
  15. Brendon Boldt and David Mortensen. 2024. XferBench: a Data-Driven Benchmark for Emergent Language. In Kevin Duh, Helena Gomez, and Steven Bethard, editors, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 1475–1489, Mexico City, Mexico. Association for Computational Linguistics.

2023

  1. Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schuetze, Kemal Oflazer, and David Mortensen. 2023. Counting the Bugs in ChatGPT’s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. In Houda Bouamor, Juan Pino, and Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 6508–6524, Singapore. Association for Computational Linguistics.
  2. Kalvin Chang, Nathaniel Robinson, Anna Cai, Ting Chen, Annie Zhang, and David Mortensen. 2023. Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study. In Nina Tahmasebi, Syrielle Montariol, Haim Dubossarsky, Andrey Kutuzov, Simon Hengchen, David Alfter, Francesco Periti, and Pierluigi Cassotti, editors, Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, pages 129–142, Singapore. Association for Computational Linguistics.
  3. Yi-Hui Chou, Kalvin Chang, Meng-Ju Wu, Winston Ou, Alice Wen-Hsin Bi, Carol Yang, Bryan Y Chen, Rong-Wei Pai, Po-Yen Yeh, Jo-Peng Chiang, and others. 2023. Evaluating self-supervised speech models on a Taiwanese Hokkien corpus. In 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). IEEE.
  4. Yanlin Feng, Adithya Pratapa, and David Mortensen. 2023. Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing. In Houda Bouamor, Juan Pino, and Kalika Bali, editors, Findings of the Association for Computational Linguistics: EMNLP 2023, pages 15550–15560, Singapore. Association for Computational Linguistics.
  5. Taiqi He, Lindia Tjuatja, Nathaniel Robinson, Shinji Watanabe, David R. Mortensen, Graham Neubig, and Lori Levin. 2023. SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing. In Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 209–216, Toronto, Canada. Association for Computational Linguistics.
  6. Georgios Karakasidis, Nathaniel Robinson, Yaroslav Getman, Atieno Ogayo, Ragheb Al-Ghezi, Ananya Ayasi, Shinji Watanabe, David R Mortensen, and Mikko Kurimo. 2023. Multilingual TTS Accent Impressions for Accented ASR. In International Conference on Text, Speech, and Dialogue, pages 317–327. Springer.
  7. Young Min Kim, Kalvin Chang, Chenxuan Cui, and David R. Mortensen. 2023. Transformed Protoform Reconstruction. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 24–38, Toronto, Canada. Association for Computational Linguistics.
  8. David R. Mortensen, Ela Gulsen, Taiqi He, Nathaniel Robinson, Jonathan Amith, Lindia Tjuatja, and Lori Levin. 2023. Generalized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation. In Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 58–67, Toronto, Canada. Association for Computational Linguistics.
  9. David R Mortensen. 2023. Kuki-Chin Phonology: An Overview. Himalayan Linguistics, 22(1).
  10. Nathaniel Romney Robinson, Matthew Dean Stutzman, Stephen D. Richardson, and David R Mortensen. 2023. African Substrates Rather Than European Lexifiers to Augment African-diaspora Creole Translation. In 4th Workshop on African Natural Language Processing.
  11. Nathaniel Robinson, Perez Ogayo, David R. Mortensen, and Graham Neubig. 2023. ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages. In Philipp Koehn, Barry Haddow, Tom Kocmi, and Christof Monz, editors, Proceedings of the Eighth Conference on Machine Translation, pages 392–418, Singapore. Association for Computational Linguistics.
  12. Leonie Weissweiler, Taiqi He, Naoki Otani, David R. Mortensen, Lori Levin, and Hinrich Schütze. 2023. Construction Grammar Provides Unique Insight into Neural Language Models. In Claire Bonial and Harish Tayyar Madabushi, editors, Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023), pages 85–95, Washington, D.C. Association for Computational Linguistics.
  13. Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David Mortensen, Noah Smith, and Yulia Tsvetkov. 2023. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. In Houda Bouamor, Juan Pino, and Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9904–9923, Singapore. Association for Computational Linguistics.

2022

  1. Nathaniel Romney Robinson, Perez Ogayo, Swetha R. Gangu, David R. Mortensen, and Shinji Watanabe. 2022. When Is TTS Augmentation Through a Pivot Language Useful? In Interspeech 2022.
  2. Chenxuan Cui, Katherine Zhang, and David Mortensen. 2022. Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3656–3669, Seattle, United States. Association for Computational Linguistics.
  3. Xinjian Li, Florian Metze, David R. Mortensen, Alan W. Black, and Shinji Watanabe. 2022. Phone Inventories and Recognition for Every Language. In Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022).
  4. Xinjian Li, Florian Metze, David R. Mortensen, Alan W. Black, and Shinji Watanabe. 2022. Speech Recognition for Around 2000 Languages without Audio. In Interspeech 2022.
  5. Xinjian Li, Florian Metze, David Mortensen, Shinji Watanabe, and Alan Black. 2022. Zero-shot Learning for Grapheme to Phoneme Conversion with Language Ensemble. In Findings of the Association for Computational Linguistics: ACL 2022, pages 2106–2115, Dublin, Ireland. Association for Computational Linguistics.
  6. Clayton Marr and David Mortensen. 2022. Large-Scale Computerized Forward Reconstruction Yields New Perspectives in French Diachronic Phonology. Diachronica.
  7. David R. Mortensen, Xinyu Zhang, Chenxuan Cui, and Katherine J. Zhang. 2022. A Hmong Corpus with Elaborate Expression Annotations. In Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022).
  8. David R. Mortensen. 2022. Wfst4Str. Rust/Python library for working with strings using weighted finite state transducers.
  9. Nathaniel Robinson, Cameron Hogan, Nancy Fulda, and David R. Mortensen. 2022. Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican. In Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022), pages 35–42, Gyeongju, Republic of Korea. Association for Computational Linguistics.
  10. Kalvin Chang, Chenxuan Cui, Youngmin Kim, and David R. Mortensen. 2022. WikiHan: A New Comparative Dataset for Chinese Languages. In COLING 2022.

2021

  1. Brian Yan, Siddharth Dalmia, David R. Mortensen, Florian Metze, and Shinji Watanabe. 2021. Differentiable Allophone Graphs for Language-Universal Speech Recognition. In Proc. Interspeech 2021, pages 2471–2475.
  2. Xinjian Li, David R Mortensen, Florian Metze, and Alan W. Black. 2021. Multilingual phonetic dataset for low resource speech recognition. In ICASSP 2021.
  3. 2021. ASR2K: Speech Recognition for Around 2000 Languages without Audio. In Interspeech 2022.
  4. David R. Mortensen and Jordan Picone. 2021. East Tusom: A phonetic and phonological sketch of a largely undocumented Tangkhulic language. Linguistics of the Tibeto-Burman Area, 44(2):168–196.
  5. David R. Mortensen, Jordan Picone, Xinjian Li, and Kathleen Siminyu. 2021. Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments. In Proc. Interspeech 2021, pages 3660–3664.
  6. Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, and Yulia Tsvetkov. 2021. Evaluating the Morphosyntactic Well-formedness of Generated Texts. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7131–7150, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
  7. Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, and Graham Neubig. 2021. Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties. In Proc. Interspeech 2021, pages 271–275.
  8. Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, and David R. Mortensen. 2021. Ranking Transfer Languages with Pragmatically-Motivated Features for Multilingual Sentiment Analysis. In EACL 2021.
  9. David Francis, Ella Rabinovich, Farhan Samir, David Mortensen, and Suzanne Stevenson. 2021. Quantifying Cognitive Factors in Lexical Decline. Transactions of the Association for Computational Linguistics, 9:1529–1545.

2020

  1. Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, and Graham Neubig. 2020. Automatic Extraction of Rules Governing Morphological Agreement. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing.
  2. Xinjian Li, Siddharth Dalmia, David R. Mortensen, Juncheng Li, Alan Black, and Florian Metze. 2020. Towards Zero-shot Learning for Automatic Phonemic Transcription. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence.
  3. Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W Black, and Florian Metze. 2020. Universal Phone Recognition with a Multilingual Allophone System. In ICASSP 2020.
  4. Clayton Marr and David R. Mortensen. 2020. Computerized Forward Reconstruction for Analysis in Diachronic Phonology, and Latin to French Reflex Prediction. In 1st Workshop on Language Technologies for Historical and Ancient LAnguages (LT4HALA).
  5. Shahan Ali Memon, Aman Tyagi, David R. Mortensen, and Kathleen M Carley. 2020. Characterizing Sociolinguistic Variation in the Competing Vaccination Communities. In Halil Bisgin, Ayaz Hyder, Chris Dancy, and Robert Thomson, editors, Proceedings of the International Conference SBP-BRiMS 2020, Washington DC. Springer.
  6. David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. Black, Florian Metze, and Graham Neubig. 2020. AlloVera: A Multilingual Allophone Database. In Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020).
  7. Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, and Yulia Tsvetkov. 2020. Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. In Proceedings of the Society for Computation in Linguistics, volume 3.

2019

  1. Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime Carbonell, and Yulia Tsvetkov. 2019. CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 57–70, Florence, Italy. Association for Computational Linguistics.
  2. David R. Mortensen. 2019. Hmong (Mong Leng). In Alice Vittrant and Justin Watkins, editors, The Mainland Southeast Asia Linguistic Area. De Gruyter Mouton, Berlin, Boston.
  3. David R. Mortensen and Jong Hyuk Park. 2019. IndoMorph. Collection of Foma FST morphological analyzers for languages of the Indian subcontinent.

2018

  1. Aditi Chaudhary, Chunting Zhou, Lori Levin, Graham Neubig, David R. Mortensen, and Jaime Carbonell. 2018. Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 3285–3295, Brussels, Belgium. Association for Computational Linguistics.
  2. Patrick Littell, Tian Tian, Ruochen Xu, Zaid Sheikh, David Mortensen, Lori Levin, Francis Tyers, Hiroaki Hayashi, Graham Horwood, Steve Sloto, Emily Tagtow, Alan Black, Yiming Yang, Teruko Mitamura, and Eduard Hovy. 2018. The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach. Machine Translation, 32(1–2):105–126.
  3. Patrick Littell, Tom McCoy, Na-Rae Han, Shruti Rijhwani, Zaid Sheikh, David Mortensen, Teruko Mitamura, and Lori Levin. 2018. Parser combinators for Tigrinya and Oromo morphology. In Proceedings of the 11th Language Resources and Evaluation Conference, Miyazaki, Japan. European Language Resource Association.
  4. David R. Mortensen, Siddharth Dalmia, and Patrick Littell. 2018. Epitran: Precision G2P for Many Languages. In Proceedings of the 11th Language Resources and Evaluation Conference, Miyazaki, Japan. European Language Resource Association.
  5. David R. Mortensen. 2018. Epitran. Precision orthography-to-IPA conversion for 65 languages.
  6. David R. Mortensen. 2018. MStem. Python multilingual morphological stemming framework and stemmer collection.

2017

  1. Patrick Littell, David R. Mortensen, Ke Lin, Katherine Kairis, Carlisle Turner, and Lori Levin. 2017. URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 8–14, Valencia, Spain. Association for Computational Linguistics.
  2. David R. Mortensen. 2017. Hmong-Mien Languages. In Mark Aronoff, editor, Oxford Research Encyclopedia of Linguistics. Oxford University Press, New York.
  3. David R. Mortensen. 2017. Hmong-Mien Languages. In Mark Aronoff, editor, Oxford Bibliographies in Linguistics. Oxford University Press, New York.

2016

  1. Akash Bharadwaj, David Mortensen, Chris Dyer, and Jaime Carbonell. 2016. Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1462–1472, Austin, Texas. Association for Computational Linguistics.
  2. Patrick Littell, David R. Mortensen, Kartik Goyal, Chris Dyer, and Lori Levin. 2016. Bridge-Language Capitalization Inference in Western Iranian: Sorani, Kurmanji, Zazaki, and Tajik. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pages 3318–3324, Portorož, Slovenia. European Language Resources Association (ELRA).
  3. Patrick Littell, Kartik Goyal, David R. Mortensen, Alexa Little, Chris Dyer, and Lori Levin. 2016. Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 998–1006, Osaka, Japan. The COLING 2016 Organizing Committee.
  4. David R. Mortensen, Patrick Littell, Akash Bharadwaj, Kartik Goyal, Chris Dyer, and Lori Levin. 2016. PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 3475–3484, Osaka, Japan. The COLING 2016 Organizing Committee.
  5. David R. Mortensen. 2016. PanPhon. Articulatory feature extractor and library.
  6. Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David Mortensen, Alan W Black, Lori Levin, and Chris Dyer. 2016. Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1357–1366, San Diego, California. Association for Computational Linguistics.

2013

  1. David R. Mortensen. 2013. Lexical Prefixes and Tibeto-Burman Laryngeal Contrasts. In Proceedings of the Thirty-Seventh Annual Meeting of the Berkeley Linguistics Society (BLS 37), pages 292–303.
  2. David R. Mortensen and James A. Miller. 2013. A Reconstruction of Proto-Tangkhulic Rhymes. Linguistics of the Tibeto-Burman Area , 36(1):1–32.
  3. David R. Mortensen. 2013. Tonally Conditioned Vowel Raising in Shuijingping Mang. Journal of East Asian Linguistics, 22(3):189–216.

2012

  1. David R. Mortensen and Jennifer Keogh. 2012. Sorbung, an Undescribed Language of Manipur: Its Phonology and Place in Tibeto-Burman. Journal of the Southeast Asian Linguistics Society, 4(1):62–114.
  2. David R. Mortensen. 2012. The Emergence of Obstruents after High Vowels. Diachronica, 29(4):434–470.
  3. David R. Mortensen. 2012. NetSPE. A web-based application for exploring rule-based analyses of phonological data.
  4. Mary Lou Vercellotti and David R. Mortensen. 2012. A Classification of Compounding in American Sign Language: an Evaluation of the Bisetto and Scalise Framework. Morphology, 22(4):545–579.

2011

  1. David R. Mortensen. 2011. HsSPE. Haskell library implementing SPE-style rule-based phonology.
  2. David R. Mortensen. 2011. Web Comparator. A web-based application for organizing and analyzing comparative lexical databases. Used in the production of “Emergence of Obstruents” and “Proto-Tangkhulic Rhymes.”

2004

  1. David R. Mortensen. 2004. The emergence of dorsal stops after high vowels in Huishu. In Proceedings of the Thirtieth Annual Meeting of the Berkeley Linguistics Society (BLS 30), pages 292–303.

2003

  1. David R. Mortensen. 2003. Review of Baheng Yu Yanjiu [research on the Pa-Hng language] by Mao Zongwu and Li Yunbing. Linguistics of the Tibeto-Burman Area, 26(1):123–131.

2002

  1. David R. Mortensen. 2002. Review of Les langue Hmong-Mjen: phonologie historique by Barbara Niederer. Linguistics of the Tibeto-Burman Area, 25(2):243–245.