قارن الطرق

	تحليل تعقيد النص	تحليل التركيب
المجال	تنقيب النصوص	تنقيب النصوص
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	—	2003
صاحب الطريقة	—	Michael Collins (statistical models, 2003)
النوع	Linguistic-feature measurement pipeline	NLP syntactic-analysis task
المصدر التأسيسي	Vajjala, S. & Meurers, D. (2014). Readability Assessment for Text Simplification: From Analysing Documents to Identifying Sentential Simplifications. International Journal of Applied Linguistics, 165(2), 194-222.	Collins, M. (2003). Head-Driven Statistical Models for Natural Language Parsing. Computational Linguistics, 29(4), 589-637.
الأسماء البديلة	readability analysis, linguistic complexity assessment, Metin Karmaşıklığı Analizi	phrase-structure parsing, constituent parsing, Kurucu Öbek Ayrıştırma (Constituency Parsing)
ذات صلة	2	3
الملخص	Text complexity analysis measures the linguistic difficulty of a text along dimensions such as syntactic complexity (sentence length, embedded clauses), lexical density, and referential chains. Grounded in readability research consolidated by Vajjala and Meurers (2014) and Crossley and colleagues (2011), it turns prose into quantitative scores that estimate how hard a document is to read.	Constituency parsing is a natural-language-processing task that represents a sentence as a tree of recursively nested phrase-structure constituents — for example S → NP + VP. Building on the head-driven statistical parsing models introduced by Collins (2003) and the later neural parsers of Kitaev and colleagues (2019), it exposes the hierarchical syntactic skeleton of a sentence for grammatical pattern extraction and grammar research.