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020 _a9780387689548
_99780387689548
024 7 _a10.1007/9780387689548
_2doi
035 _avtls000331960
039 9 _a201509030203
_bVLOAD
_c201404121958
_dVLOAD
_c201404091725
_dVLOAD
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.6-76.66
100 1 _aGrune, Dick.
_eautor
_9305110
245 1 0 _aParsing Techniques :
_bA Practical Guide /
_cby Dick Grune, Ceriel J. H. Jacobs.
264 1 _aNew York, NY :
_bSpringer New York,
_c2008.
300 _axxiv, 664 páginas 288 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aGrammars as a Generating Device -- to Parsing -- General Non-Directional Parsing -- Regular Grammars and Finite-State Automata -- General Directional Top-Down Parsing -- General Directional Bottom-Up Parsing -- Deterministic Top-Down Parsing -- Deterministic Bottom-Up Parsing -- Non-Canonical Parsers -- Generalized Deterministic Parsers -- Substring Parsing -- Parsing as Intersection -- Parallel Parsing -- Non-Chomsky Grammars and Their Parsers -- Error Handling -- Practical Parser Writing and Usage -- Annotated Bibliography.
520 _aParsing, also referred to as syntax analysis, has been and continues to be an essential part of computer science and linguistics. Today, parsing is also applied in other disciplines; some examples are document preparation and conversion, chemical formulae typesetting, and chromosome recognition. In addition to the traditional parsing techniques, this second edition presents new developments and discoveries: generalized deterministic parsing, linear-time substring parsing, parallel parsing, parsing as intersection, non-canonical methods, non-Chomsky systems, and many more. Parsing techniques provide a solid basis for compiler construction and linguistics, and contribute to all existing software: they enable Web browsers to analyze HTML pages and PostScript printers to analyze PostScript, and some of the more advanced techniques are used in code generation in compilers and in data compression. Also their importance as general pattern recognizers is slowly being acknowledged. To provide readers with low-threshold access to the full field of parsing techniques, this book uses a two-tiered structure. The basic ideas behind the existing parsing techniques are explained in an intuitive and narrative style, starting from the first principles of data structures and algorithms; this provides breadth and accessibility. The hundreds of realizations and improvements of these basic ideas are explained in an extensive annotated bibliography, in a much terser, yet still informal style; this provides depth. The reader should have an understanding of algorithmic thinking, especially recursion; however, knowledge of any particular programming language is not required.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387202488
700 1 _9305111
_aJacobs, Ceriel J. H.
_eautor
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-68954-8
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c280278
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