Industrial Parsing of Software Manuals

Industrial Parsing of Software Manuals
Author :
Publisher : Rodopi
Total Pages : 296
Release :
ISBN-10 : 904200102X
ISBN-13 : 9789042001022
Rating : 4/5 (2X Downloads)

Book Synopsis Industrial Parsing of Software Manuals by : Richard F. E. Sutcliffe

Download or read book Industrial Parsing of Software Manuals written by Richard F. E. Sutcliffe and published by Rodopi. This book was released on 1996 with total page 296 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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