activity
20222024
most citedTesting the Ability of Language Models to Interpret Figurative Language

2 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024★ 2 cited

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023★ 1 cited

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…

cs.CL2022★ 2 cited

Testing the Ability of Language Models to Interpret Figurative Language

Emmy Liu, Chen Cui, Kenneth Zheng +1

Figurative and metaphorical language are commonplace in discourse, and figurative expressions play an important role in communication and cognition. However, figurative language ha…

cs.CL2022

Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese

Chenxuan Cui, Katherine J. Zhang, David R. Mortensen

Coordinate compounds (CCs) and elaborate expressions (EEs) are coordinate constructions common in languages of East and Southeast Asia. Mortensen (2006) claims that (1) the linear…