Inicio > Lenguas > Lingüistica > Natural Language Parsing and Linguistic Theories
Natural Language Parsing and Linguistic Theories

Natural Language Parsing and Linguistic Theories

 

65,31 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
1988
Materia
Lingüistica
ISBN:
9781556080562
65,31 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

presupposition fails, we now give a short introduction into Unification Grammar. Since all implementations discussed in this volume use PROLOG (with the exception of BlockjHaugeneder), we felt that it would also be useful to explain the difference between unification in PROLOG and in UG. After the introduction to UG we briefly summarize the main arguments for using linguistic theories in natural language processing. We conclude with a short summary of the contributions to this volume. UNIFICATION GRAMMAR 3 Feature Structures or Complex Categories. Unification Grammar was developed by Martin Kay (Kay 1979). Martin Kay wanted to give a precise defmition (and implementation) of the notion of ’feature’. Linguists use features at nearly all levels of linguistic description. In phonetics, for instance, the phoneme b is usually described with the features ’bilabial’, ’voiced’ and ’nasal’. In the case of b the first two features get the value +, the third (nasal) gets the value -. Feature­ value pairs in phonology are normally represented as a matrix. bilabial: + voiced: + I nasal: - [Feature matrix for b.] In syntax features are used, for example, to distinguish different noun classes. The Latin noun ’murus’ would be characterized by the following feature-value pairs: gender: masculin, number: singular, case: nominative, pred: murus. Besides a matrix representation one frequently fmds a graph representation for feature value pairs. The edges of the graph are labelled by features. The leaves denote the value of a feature.

Artículos relacionados

  • User-Centered Computer Aided Language Learning
    Giorgos Zacharia / Panayiotis Zaphiris
    ...
  • Deep Learning for Natural Language Processing
    Marco Antonio Valenzuela-Escárcega / Mihai Surdeanu
    ...
    Disponible

    47,60 €

  • Deep Learning for Natural Language Processing
    Marco Antonio Valenzuela-Escárcega / Mihai Surdeanu
    ...
  • Lecciones sobre espinosa medrano
    Luis Jaime Cisneros Vizquerra
    La obra de Juan de Espinosa Medrano, apodado en su tiempo «El Lunarejo» (c. 1629-1688), fue uno de los mayores focos de interés académico de Luis Jaime Cisneros (1921-2011). En 1980 aparecieron sus primeros trabajos dedicados a estudiar los textos capitales de Espinosa Medrano (el Apologético en favor de don Luis de Góngora, la Panegírica declamación por la protección de las ci...
    Disponible

    17,63 €

  • Lyre Book
    Matthew Kilbane
    Redefines modern lyric poetry at the intersection of literary and media studies.In The Lyre Book, Matthew Kilbane urges literary scholars to consider lyric not as a genre or a reading practice but as a media condition: the generative tension between writing and sound. In addition to clarifying issues central to the study of modern poetry--including its proximity to popular song...
    Disponible

    50,84 €

  • Translation-mediated Communication in a Digital World
    David Ashworth / Minako O’Hagan
    The Internet is accelerating globalization by exposing organizations and individuals to global audiences. This in turn is driving teletranslation and teleinterpretation, new types of multilingual support, which are functional in digital communications environments. The book describes teletranslation and teleinterpretation by exploring a number of key emerging contexts for langu...
    Disponible

    45,19 €