השוואת שיטות

	בדיקת איות ודקדוק	מודל שפה מסוג N-gram
תחום	כריית טקסט	כריית טקסט
משפחה	Process / pipeline	Process / pipeline
שנת המקור	2003	—
הוגה השיטה	Daniel Naber (rule-based checker); Peter Norvig (statistical spelling correction)	—
סוג	Text-mining preprocessing / quality-assessment task	Statistical language model
מקור מכונן	Naber, D. (2003). A Rule-Based Style and Grammar Checker. Diploma Thesis.	Jurafsky, D. & Martin, J.H. (2023). Speech and Language Processing, 3rd ed.
כינויים	spell checking, grammar checking, text proofing, Yazım ve Dilbilgisi Denetimi	n-gram model, statistical language model, N-gram Dil Modeli
קשורות	4	4
תקציר	Spelling and grammar checking is a text-mining task that detects spelling mistakes and grammatical errors in text and proposes corrections. Building on Naber's rule-based style and grammar checker (2003) and Norvig's statistical spelling corrector (2009), it is used for data-quality assessment and text normalisation before further analysis.	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.