arXiv:2410.02417
MenakBERT -- Hebrew Diacriticizer
원문 초록
Diacritical marks in the Hebrew language give words their vocalized form. The task of adding diacritical marks to plain Hebrew text is still dominated by a system that relies heavily on human-curated resources. Recent models trained on diacritized Hebrew texts still present a gap in performance. We use a recently developed char-based PLM to narrowly bridge this gap. Presenting MenakBERT, a character level transformer pretrained on Hebrew text and fine-tuned to produce diacritical marks for Hebrew sentences. We continue to show how finetuning a model for diacritizing transfers to a task such as part of speech tagging.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
A Comparative Analysis of Static Word Embeddings for Hungarian
ParsiPy: NLP Toolkit for Historical Persian Texts in Python
GR-NLP-TOOLKIT: An Open-Source NLP Toolkit for Modern Greek
POS-tagging to highlight the skeletal structure of sentences
How Does A Text Preprocessing Pipeline Affect Ontology Syntactic Matching?
토론
이 논문과 연결된 포럼 글이 아직 없습니다.