23 citations · 24 across the 9 of their papers we have counts for
9 papers
How Do Language Models Represent and Use Phonological Information for Allomorph Selection?
Sangwoo Kim, Sangah Lee
Language models are trained on tokenized text that obscures the sound structure of words, yet they reliably produce morphemes whose form is phonologically conditioned. It remains u…
ConlangBench: Exploring Language Knowledge and Learning in LLMs through Diverse Constructed Languages
Jinhong Jeong, Seungyeop Yi, Sangah Lee +1
Constructed languages (conlangs) are intentionally created human languages with a rich tradition of linguistic creativity. Despite their potential for studying language learning in…
KoBALT: Korean Benchmark For Advanced Linguistic Tasks
Hyopil Shin, Sangah Lee, Dongjun Jang +9
We introduce KoBALT (Korean Benchmark for Advanced Linguistic Tasks), a comprehensive linguistically-motivated benchmark comprising 700 multiple-choice questions spanning 24 phenom…
ManWav: The First Manchu ASR Model
Jean Seo, Minha Kang, Sungjoo Byun +1
This study addresses the widening gap in Automatic Speech Recognition (ASR) research between high resource and extremely low resource languages, with a particular focus on Manchu,…
KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels
Kyuhee Kim, Surin Lee, Sangah Lee
In this paper, we present KoCoNovel, a novel character coreference dataset derived from Korean literary texts, complete with detailed annotation guidelines. Comprising 178K tokens…
K-Act2Emo: Korean Commonsense Knowledge Graph for Indirect Emotional Expression
Kyuhee Kim, Surin Lee, Sangah Lee
In many literary texts, emotions are indirectly conveyed through descriptions of actions, facial expressions, and appearances, necessitating emotion inference for narrative underst…
DaG LLM ver 1.0: Pioneering Instruction-Tuned Language Modeling for Korean NLP
Dongjun Jang, Sangah Lee, Sungjoo Byun +8
This paper presents the DaG LLM (David and Goliath Large Language Model), a language model specialized for Korean and fine-tuned through Instruction Tuning across 41 tasks within 1…
Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data
Jean Seo, Sungjoo Byun, Minha Kang +1
The Manchu language, with its roots in the historical Manchurian region of Northeast China, is now facing a critical threat of extinction, as there are very few speakers left. In o…
KR-BERT: A Small-Scale Korean-Specific Language Model
Sangah Lee, Hansol Jang, Yunmee Baik +2
Since the appearance of BERT, recent works including XLNet and RoBERTa utilize sentence embedding models pre-trained by large corpora and a large number of parameters. Because such…