Alexis Palmer

About

Dr. Alexis Palmer is an Associate Professor in the Department of Linguistics at the University of Colorado Boulder. She is an expert in computational discourse and semantics, with a focus on computational linguistics for low-resource languages and language documentation. Her research encompasses discourse structure and coherence, modes of discourse, and social analytics, including the automated detection of offensive language in social media. She received her PhD from the University of Texas at Austin in 2009 and has held prestigious postdoctoral and research positions in Germany, including at the Institute for Computational Linguistics in Heidelberg and the Institut für Deutsche Sprache in Mannheim. Prior to her current position at CU, she was an assistant professor at the University of North Texas, Denton, until 2021. Dr. Palmer has secured a National Science Foundation CAREER grant, working on cross-linguistic methods to improve language processing tools for low-resource languages through her project FOLTA (From One Language to Another). Recently, she has also become interested in making linguistic documentation more accessible and useful, particularly for developing pedagogical materials for languages.

Research topics

• Computer Science
• Natural Language Processing
• Linguistics
• Artificial Intelligence
• Humanities
• Philosophy
• Programming language
• Engineering
• History
• Botany

Selected publications

• Findings of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages

  2023-01-01 · 8 citations

  articleOpen access

  Abteen Ebrahimi, Manuel Mager, Shruti Rijhwani, Enora Rice, Arturo Oncevay, Claudia Baltazar, María Cortés, Cynthia Montaño, John E. Ortega, Rolando Coto-solano, Hilaria Cruz, Alexis Palmer, Katharina Kann. Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP). 2023.

  PublisherOA PDFDOI

• Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing

  2023 · 6 citations

  Michael Ginn, Sarah Moeller, Alexis Palmer, Anna Stacey, Garrett Nicolai, Mans Hulden, Miikka Silfverberg. Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology. 2023.

  PublisherOA PDFDOI

• A Summary of the First Workshop on Language Technology for Language\n Documentation and Revitalization

  arXiv (Cornell University) · 2020 · 5 citations

  Despite recent advances in natural language processing and other language\ntechnology, the application of such technology to language documentation and\nconservation has been limited. In August 2019, a workshop was held at Carnegie\nMellon University in Pittsburgh to attempt to bring together language community\nmembers, documentary linguists, and technologists to discuss how to bridge this\ngap and create prototypes of novel and practical language revitalization\ntechnologies. This paper report…

  PublisherOA PDFDOI

• Dehumanization of LGBTQ+ Groups in Sexual Interactions with ChatGPT

  2025-01-01 · 1 citations

  articleOpen access

  Given the widespread use of LLM-powered conversational agents such as ChatGPT, analyzing the ways people interact with them could provide valuable insights into human behavior.Prior work has shown that these agents are sometimes used in sexual contexts, such as to obtain advice, to role-play as sexual companions, or to generate erotica.While LGBTQ+ acceptance has increased in recent years, dehumanizing practices against minorities continue to prevail.In this paper, we hone in on this and perform…

  PublisherOA PDFDOI

• GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text

  2024-01-01 · 1 citations

  articleOpen access

  Language documentation projects often involve the creation of annotated text in a format such as interlinear glossed text (IGT), which captures fine-grained morphosyntactic analyses in a morpheme-by-morpheme format.However, there are few existing resources providing large amounts of standardized, easily accessible IGT data, limiting their applicability to linguistic research, and making it difficult to use such data in NLP modeling.We compile the largest existing corpus of IGT data from a variet…

  PublisherOA PDFDOI

Frequent coauthors

• John E. Ortega

  47 shared

• Abteen Ebrahimi

  47 shared

• Manuel Mager

  47 shared

• Rolando Coto‐Solano

  47 shared

• Arturo Oncevay

  47 shared

• Katharina Kann

  University of Colorado Boulder

  47 shared

• Enora Rice

  31 shared

• Shruti Rijhwani

  27 shared

Education

• Ph.D.

  UT Austin

  2009

Awards & honors

• NSF CAREER Award

Similar researchers at University of Colorado Boulder

• Bhuvana Narasimhanh-29
• Kira Hallh-27
• Chase Wesley Raymondh-21