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Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language

Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language

10 May 2025
Jesus Alvarez C
Daua D. Karajeanes
Ashley Celeste Prado
John Ruttan
Ivory Yang
Sean O'Brien
Sean O Brien
Kevin Zhu
    SyDa
ArXiv (abs)PDFHTML

Papers citing "Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language"

15 / 15 papers shown
Dialectal and Low-Resource Machine Translation for Aromanian
Dialectal and Low-Resource Machine Translation for AromanianInternational Conference on Computational Linguistics (COLING), 2024
Alexandru-Iulius Jerpelea
Alina-Ştefania Rădoi
Sergiu Nisioi
275
3
0
08 Jan 2025
Can LLMs Help Create Grammar?: Automating Grammar Creation for
  Endangered Languages with In-Context Learning
Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context LearningInternational Conference on Computational Linguistics (COLING), 2024
Piyapath T Spencer
Nanthipat Kongborrirak
247
5
0
14 Dec 2024
Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation
Peng Shu
Jianfei Chen
Ziqiang Liu
Jian Shu
Zihao Wu
...
Constance Owl
Xiaoming Zhai
Ninghao Liu
Claudio Saunt
Tianming Liu
243
15
0
18 Nov 2024
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based EvaluationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Dongryeol Lee
Yerin Hwang
Yongil Kim
Joonsuk Park
Kyomin Jung
ELM
412
20
0
28 Oct 2024
The Computational Anatomy of Humility: Modeling Intellectual Humility in
  Online Public Discourse
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public DiscourseConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xiaobo Guo
Neil Potnis
Melody Yu
Nabeel Gillani
Soroush Vosoughi
266
2
0
19 Oct 2024
Converging to a Lingua Franca: Evolution of Linguistic Regions and Semantics Alignment in Multilingual Large Language Models
Converging to a Lingua Franca: Evolution of Linguistic Regions and Semantics Alignment in Multilingual Large Language ModelsInternational Conference on Computational Linguistics (COLING), 2024
Hongchuan Zeng
Senyu Han
Lu Chen
Kai Yu
234
15
0
15 Oct 2024
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and ChallengesConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Nguyen Van Dinh
Thanh Chi Dang
Luan Thanh Nguyen
Kiet Van Nguyen
226
5
0
04 Oct 2024
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with
  Customisable Fairness Calibration
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness CalibrationInternational Conference on Computational Linguistics (COLING), 2024
Xin Guan
Nathaniel Demchak
Saloni Gupta
Ze Wang
Ediz Ertekin Jr.
Adriano Soares Koshiyama
Emre Kazim
Zekun Wu
315
4
0
17 Sep 2024
Enhanced Detection of Conversational Mental Manipulation Through
  Advanced Prompting Techniques
Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques
Ivory Yang
Xiaobo Guo
Sean Xie
Soroush Vosoughi
225
9
0
14 Aug 2024
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation
  in Conversations
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations
Yuxin Wang
Ivory Yang
Saeed Hassanpour
Soroush Vosoughi
AAML
218
18
0
26 May 2024
Contrastive Learning for Prompt-Based Few-Shot Language Learners
Contrastive Learning for Prompt-Based Few-Shot Language LearnersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Yiren Jian
Chongyang Gao
Soroush Vosoughi
VLM
199
39
0
03 May 2022
Systematic Inequalities in Language Technology Performance across the
  World's Languages
Systematic Inequalities in Language Technology Performance across the World's Languages
Damián E. Blasi
Antonios Anastasopoulos
Graham Neubig
346
160
0
13 Oct 2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot
  Learners
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot LearnersInternational Conference on Learning Representations (ICLR), 2021
Ningyu Zhang
Luoqiu Li
Xiang Chen
Shumin Deng
Zhen Bi
Chuanqi Tan
Fei Huang
Huajun Chen
VLM
422
200
0
30 Aug 2021
A Digital Corpus of St. Lawrence Island Yupik
A Digital Corpus of St. Lawrence Island Yupik
Lane Schwartz
Emily Chen
Hyunji Hayley Park
Edward Jahn
Sylvia L. R. Schreiner
172
2
0
26 Jan 2021
Language ID in the Wild: Unexpected Challenges on the Path to a
  Thousand-Language Web Text Corpus
Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text CorpusInternational Conference on Computational Linguistics (COLING), 2020
Isaac Caswell
Theresa Breiner
D. Esch
Ankur Bapna
301
102
0
27 Oct 2020
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