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020 _a9781402048890
_99781402048890
024 7 _a10.1007/1402048890
_2doi
035 _avtls000334945
039 9 _a201509030249
_bVLOAD
_c201404120907
_dVLOAD
_c201404090645
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_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aP1-1091
100 1 _aNivre, Joakim.
_eautor
_9308663
245 1 0 _aInductive Dependency Parsing /
_cby Joakim Nivre.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2006.
300 _axI, 216 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aText, Speech and Language Technology,
_x1386-291X ;
_v34
500 _aSpringer eBooks
505 0 _aNatural Language Parsing -- Dependency Parsing -- Inductive Dependency Parsing -- Treebank Parsing -- Conclusion.
520 _aThis book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-driven approach to syntactic parsing. More precisely, it is based on a deterministic parsing algorithm in combination with inductive machine learning to predict the next parser action. The book includes a theoretical analysis of all central models and algorithms, as well as a thorough empirical evaluation of memory-based dependency parsing, using data from Swedish and English. Offering the reader a one-stop reference to dependency-based parsing of natural language, it is intended for researchers and system developers in the language technology field, and is also suited for graduate or advanced undergraduate education.
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:
_z9781402048883
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-4020-4889-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c282210
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