1 citations · 1 across the 8 of their papers we have counts for
8 papers
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction
Atharva Naik, Darsh Agrawal, Hong Sng +8
Historical linguists have long written "programs" that convert reconstructed words in an ancestor language into their attested descendants via ordered string rewrite functions (cal…
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…
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…
Evaluating Self-supervised Speech Models on a Taiwanese Hokkien Corpus
Yi-Hui Chou, Kalvin Chang, Meng-Ju Wu +12
Taiwanese Hokkien is declining in use and status due to a language shift towards Mandarin in Taiwan. This is partly why it is a low resource language in NLP and speech research tod…
Transformed Protoform Reconstruction
Young Min Kim, Kalvin Chang, Chenxuan Cui +1
Protoform reconstruction is the task of inferring what morphemes or words appeared like in the ancestral languages of a set of daughter languages. Meloni et al. (2021) achieved the…
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate
Vilém Zouhar, Kalvin Chang, Chenxuan Cui +4
Mapping words into a fixed-dimensional vector space is the backbone of modern NLP. While most word embedding methods successfully encode semantic information, they overlook phoneti…