A Manual Of Analysis And Parsing

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Industrial Parsing of Software Manuals

Industrial Parsing of Software Manuals
Author :
Publisher : BRILL
Total Pages : 287
Release :
ISBN-10 : 9789004653610
ISBN-13 : 9004653619
Rating : 4/5 (619 Downloads)

Book Synopsis Industrial Parsing of Software Manuals by : Sutcliffe

Download or read book Industrial Parsing of Software Manuals written by Sutcliffe and published by BRILL. This book was released on 2023-11-27 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: The task of language engineering is to develop the technology for building computer systems which can perform useful linguistic tasks such as machine assisted translation, text retrieval, message classification and document summarisation. Such systems often require the use of a parser which can extract specific types of grammatical data from pre-defined classes of input text. There are many parsers already available for use in language engineering systems. However, many different linguistic formalisms and parsing algorithms are employed. Grammatical coverage varies, as does the nature of the syntactic information extracted. Direct comparison between systems is difficult because each is likely to have been evaluated using different test criteria. In this volume, eight different parsers are applied to the same task, that of analysing a set of sentences derived from software instruction manuals. Each parser is presented in a separate chapter. Evaluation of performance is carried out using a standard set of criteria with the results being presented in a set of tables which have the same format for each system. Three additional chapters provide further analysis of the results as well as discussing possible approaches to the standardisation of parse tree data. Five parse trees are provided for each system in an appendix, allowing further direct comparison between systems by the reader. The book will be of interest to students, researchers and practitioners in the areas of computational linguistics, computer science, information retrieval, language engineering, linguistics and machine assisted translation.


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