arXiv:2503.06547
공식 코드 · Papers with Code
KréyoLID From Language Identification Towards Language Mining
원문 초록
Automatic language identification is frequently framed as a multi-class classification problem. However, when creating digital corpora for less commonly written languages, it may be more appropriate to consider it a data mining problem. For these varieties, one knows ahead of time that the vast majority of documents are of little interest. By minimizing resources spent on classifying such documents, we can create corpora much faster and with better coverage than using established pipelines. To demonstrate the effectiveness of the language mining perspective, we introduce a new pipeline and corpora for several French-based Creoles.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
FinTagging: An LLM-ready Benchmark for Extracting and Structuring Financial Information
DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios
Neuro-Argumentative Learning with Case-Based Reasoning
토론
이 논문과 연결된 포럼 글이 아직 없습니다.