השוואת שיטות

	תיוג חלקי דיבור (POS Tagging)	ניתוח מורפולוגי
תחום	כריית טקסט	כריית טקסט
משפחה	Process / pipeline	Process / pipeline
שנת המקור	—	1980
הוגה השיטה	—	M.F. Porter (Porter stemmer)
סוג	NLP sequence-labelling task	Text-normalisation preprocessing task
מקור מכונן	Ratnaparkhi, A. (1996). A Maximum Entropy Model for Part-Of-Speech Tagging. EMNLP.	Porter, M.F. (1980). An Algorithm for Suffix Stripping. Program, 14(3), 130-137.
כינויים	part-of-speech tagging, grammatical tagging, Sözcük Türü Etiketleme (POS Tagging)	stemming, lemmatization, Morfolojik Analiz ve Kök Bulma
קשורות	3	4
תקציר	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.	Morphological analysis splits words into their stems and affixes so that different surface forms of the same word can be treated as one. It covers two complementary approaches — rule-based stemming, such as the Porter (1980) and Snowball algorithms, and dictionary-aware lemmatization — and is a critical text-normalisation step for agglutinative languages such as Turkish and Arabic.