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This thesis describes a rule-based computer program, the Shallow Syntactic Complexity Analyzer (ShaC), for determining the syntactic complexity of English-language text. Syntactic complexity is determined by comparing strings of text to templates. The templates were constructed following the modified D-Level scale (Covington et al., 2004), which ranks(More)
The Problem * We want to measure lexical diversity, which reflects size of a writer or speaker's vocabulary and variety of subject matter in a text. (Useful for stylometry and for psycholinguistic research, e.g., tracking the topic drift in schizophrenia.) * Type-token ratio (TTR) = vocabulary size ÷ length of document * TTR is not a good measure of lexical(More)
This thesis explores the field of natural language grammar induction as applied to psy-cholinguistic comparison. It specifically concentrates on one algorithm, the ADIOS algorithm. After a discussion of language, grammar and grammar induction methods, it describes the ADIOS algorithm, and presents experiments done on the induction and comparison of grammars(More)
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