10 citations · 54 across the 50 of their papers we have counts for
6 papers · 2 filters
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban +10
Large language models (LLMs) have recently reached an impressive level of linguistic capability, prompting comparisons with human language skills. However, there have been relative…
ChatGPT MT: Competitive for High- (but not Low-) Resource Languages
Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen +1
Large language models (LLMs) implicitly learn to perform a range of language tasks, including machine translation (MT). Previous studies explore aspects of LLMs' MT capabilities. H…
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…
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
Orevaoghene Ahia, Sachin Kumar, Hila Gonen +4
Language models have graduated from being research prototypes to commercialized products offered as web APIs, and recent works have highlighted the multilingual capabilities of 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…
Construction Grammar Provides Unique Insight into Neural Language Models
Leonie Weissweiler, Taiqi He, Naoki Otani +3
Construction Grammar (CxG) has recently been used as the basis for probing studies that have investigated the performance of large pretrained language models (PLMs) with respect to…