10 citations · 13 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
Michael Ginn, Lindia Tjuatja, Taiqi He +4
Language documentation projects often involve the creation of annotated text in a format such as interlinear glossed text (IGT), which captures fine-grained morphosyntactic analyse…
Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions
Kexun Zhang, Yee Man Choi, Zhenqiao Song +3
How can large language models (LLMs) process and translate endangered languages? Many languages lack a large corpus to train a decent LLM; therefore existing LLMs rarely perform we…
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…
Language Embeddings for Typology and Cross-lingual Transfer Learning
Dian Yu, Taiqi He, Kenji Sagae
Cross-lingual language tasks typically require a substantial amount of annotated data or parallel translation data. We explore whether language representations that capture relatio…