Comparer des méthodes

	Chunking	Étiquetage des parties du discours (POS Tagging)
Domaine	Fouille de textes	Fouille de textes
Famille	Process / pipeline	Process / pipeline
Année d'origine	1991	—
Auteur d'origine	Steven Abney	—
Type	NLP partial-parsing task	NLP sequence-labelling task
Source fondatrice	Abney, S. (1991). Parsing by Chunks. In Principle-Based Parsing. Kluwer Academic Publishers. ISBN: 978-0-7923-1173-4	Ratnaparkhi, A. (1996). A Maximum Entropy Model for Part-Of-Speech Tagging. EMNLP.
Alias	shallow parsing, partial parsing, Yüzeysel Ayrıştırma (Chunking)	part-of-speech tagging, grammatical tagging, Sözcük Türü Etiketleme (POS Tagging)
Apparentées	4	3
Résumé	Chunking, also called shallow parsing, is a natural-language-processing task introduced by Steven Abney in 1991 that divides text into grammatical pieces — such as noun phrases and verb phrases — using part-of-speech tags. It extracts useful syntactic structure quickly without building a full parse tree of the sentence.	Part-of-speech tagging assigns a grammatical category label — noun, verb, adjective, and so on — to every word in a text. It is a foundational natural-language-processing task, formalised as a statistical model by Ratnaparkhi (1996) and packaged into widely used toolkits such as Stanford CoreNLP (Manning et al., 2014), and it serves as a preliminary step for syntactic analysis and information extraction.