So sánh phương pháp

	Mô hình ngôn ngữ N-gram	Nhận dạng nghĩa của từ (Word Sense Disambiguation - WSD)
Lĩnh vực	Khai phá văn bản	Khai phá văn bản
Họ	Process / pipeline	Process / pipeline
Năm ra đời	—	2009
Người khởi xướng	—	Navigli (survey, 2009)
Loại	Statistical language model	NLP semantic-disambiguation task
Công trình gốc	Jurafsky, D. & Martin, J.H. (2023). Speech and Language Processing, 3rd ed.	Navigli, R. (2009). Word Sense Disambiguation: A Survey. ACM Computing Surveys (CSUR), 41(2), Article 10, 1-69.
Tên gọi khác	n-gram model, statistical language model, N-gram Dil Modeli	WSD, sense tagging, Sözcük Anlamı Belirsizlik Giderme (WSD)
Liên quan	4	2
Tóm tắt	An n-gram language model is a statistical model that predicts the probability of the next word by looking only at the previous n−1 words. Described in detail by Jurafsky and Martin (Speech and Language Processing), it provides foundational infrastructure for text generation, spelling correction, and speech recognition.	Word sense disambiguation (WSD) is the natural-language-processing task of choosing the correct meaning of a polysemous word from its context. Surveyed by Navigli (2009), it resolves which sense of a many-meaning word applies in a given sentence, improving the quality of information retrieval, machine translation, and question answering.