10 citations · 54 across the 50 of their papers we have counts for
12 papers · 2 filters
Derivational Morphology Reveals Analogical Generalization in Large Language Models
Valentin Hofmann, Leonie Weissweiler, David Mortensen +2
What mechanisms underlie linguistic generalization in large language models (LLMs)? This question has attracted considerable attention, with most studies analyzing the extent to wh…
Self-supervised Speech Representations Still Struggle with African American Vernacular English
Kalvin Chang, Yi-Hui Chou, Jiatong Shi +4
Underperformance of ASR systems for speakers of African American Vernacular English (AAVE) and other marginalized language varieties is a well-documented phenomenon, and one that r…
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction
Atharva Naik, Kexun Zhang, Nathaniel Robinson +7
Historical linguists have long written a kind of incompletely formalized ''program'' that converts reconstructed words in an ancestor language into words in one of its attested des…
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
Jimin Sohn, Haeji Jung, Alex Cheng +3
Existing zero-shot cross-lingual NER approaches require substantial prior knowledge of the target language, which is impractical for low-resource languages. In this paper, we propo…
Semisupervised Neural Proto-Language Reconstruction
Liang Lu, Peirong Xie, David R. Mortensen
Existing work implementing comparative reconstruction of ancestral languages (proto-languages) has usually required full supervision. However, historical reconstruction models are…
Neural Proto-Language Reconstruction
Chenxuan Cui, Ying Chen, Qinxin Wang +1
Proto-form reconstruction has been a painstaking process for linguists. Recently, computational models such as RNN and Transformers have been proposed to automate this process. We…
Improved Neural Protoform Reconstruction via Reflex Prediction
Liang Lu, Jingzhi Wang, David R. Mortensen
Protolanguage reconstruction is central to historical linguistics. The comparative method, one of the most influential theoretical and methodological frameworks in the history of t…
Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs
David R. Mortensen, Valentina Izrailevitch, Yunze Xiao +2
Lexical-syntactic flexibility, in the form of conversion (or zero-derivation) is a hallmark of English morphology. In conversion, a word with one part of speech is placed in a non-…
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons
Shijia Zhou, Leonie Weissweiler, Taiqi He +3
In this paper, we make a contribution that can be understood from two perspectives: from an NLP perspective, we introduce a small challenge dataset for NLI with large lexical overl…
Wav2Gloss: Generating Interlinear Glossed Text from Speech
Taiqi He, Kwanghee Choi, Lindia Tjuatja +6
Thousands of the world's languages are in danger of extinction--a tremendous threat to cultural identities and human language diversity. Interlinear Glossed Text (IGT) is a form of…
Phonotactic Complexity across Dialects
Ryan Soh-Eun Shim, Kalvin Chang, David R. Mortensen
Received wisdom in linguistic typology holds that if the structure of a language becomes more complex in one dimension, it will simplify in another, building on the assumption that…
Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study
Kalvin Chang, Nathaniel R. Robinson, Anna Cai +3
We describe a set of new methods to partially automate linguistic phylogenetic inference given (1) cognate sets with their respective protoforms and sound laws, (2) a mapping from…