Titlebook: Computational Methods for Corpus Annotation and Analysis; Xiaofei Lu Book 2014 Springer Science+Business Media Dordrecht 2014 Analysis of

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Summary and Outlook,scussion of some future directions in computational corpus analysis, focusing in particular on the analysis of language meaning and use, learner language analysis, and analysis based on specific language theories.

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Lexical Annotation,ask are discussed first, followed by a detailed description of the tagsets used in POS tagging and subsequently a step-by-step tutorial on how the Stanford POS Tagger (Toutanova et al., . 252–259. Stroudsburg: Association for Computational Linguistics, 2003) can be downloaded, installed and invoked

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Lexical Analysis,on of command line interface tools and specialized programs for lexical analysis to address a variety of analytical needs. We first discuss the generation and analysis of frequency lists that contain POS and lemma information. We then discuss the analysis of n-gram lists with POS and lemma informati

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Syntactic Annotation,section, we illustrate the usefulness of syntactic parsing as a level of corpus annotation and describe two specific types of grammar formalism, i.e., phrase structure grammars and dependency grammars, that underlie the syntactic analysis provided by many syntactic parsers. In the second section, we

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Syntactic Analysis,Tregex (Levy and Andrew, . 2231–2234. Paris: ELRA, 2006), a tool for matching patterns in phrase structure trees based on tree relationships and regular expression matches, can be used to effectively query syntactically annotated corpora to retrieve and quantify phrases, clauses, and sentences that

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Summary and Outlook,scussion of some future directions in computational corpus analysis, focusing in particular on the analysis of language meaning and use, learner language analysis, and analysis based on specific language theories.

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Book 2014ble strides in natural language processing (NLP) technology, technology that enables computers to automatically and efficiently process, annotate and analyze large amounts of spoken and written text in linguistically and/or pragmatically meaningful ways. It has become more desirable than ever before

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https://doi.org/10.1007/978-3-642-94706-3rg: Association for Computational Linguistics, 1995), a tool for multilingual POS tagging and lemmatization, are then provided in great detail. The chapter concludes by introducing several additional tools for lexical processing and annotation.