Computational Issues in Fluid Construction Grammar

Başlık:

ISBN:

9783642341205

Edition:

1st ed. 2012.

Yayın Bilgileri:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.

Fiziksel Tanımlama:

X, 331 p. 102 illus. online resource.

Series:

Lecture Notes in Artificial Intelligence, 7249

Contents:

Design Methods for Fluid Construction Grammar -- Tools for Grammar Engineering -- A Reflective Architecture for Robust Language Processing and Learning -- Chunking Constructions -- Expressing Grammatical Meaning with Morphology: A Case Study for Russian Aspect -- Handling Scope in Fluid Construction Grammar: A Case Study for Spanish Modals -- Complex Declension Systems and Morphology in Fluid Construction -- Grammar: A Case Study of Polish -- Field Topology and Information Structure: A Case Study for German Constituent Order -- A Formal Deconstruction of Fluid Construction Grammar -- A Logic Programming Approach to Parsing and Production in Fluid Construction Grammar -- Computational Construction Grammar: Comparing ECG and FCG -- Fluid Construction Grammar and Feature Constraint Logics -- Fluid Construction Grammar in the Brain.

Abstract:

This state-of-the-art-survey documents the Fluid Construction Grammar (FCG), a new formalism for the representation of lexicons and grammars, which has been used in a wide range of case studies for different languages, both for studying specific grammatical phenomena and design patterns, as for investigating language learning and language evolution. The book focuses on the many complex computational issues that arise when writing challenging real world grammars and hence emphasises depth of analysis rather than broad scope. The volume contains 13 contributions organized in 5 parts from "Basic", and "Implementation", over "Case Studies", and "Formal Analysis", up to 3 papers presenting a "Conclusion".

Subject Term:

Artificial intelligence.

Machine theory.

Natural language processing (Computer science).

Pattern recognition systems.

Computer programming.

Computer science.

Formal Languages and Automata Theory.

Natural Language Processing (NLP).

Automated Pattern Recognition.

Programming Techniques.

Computer Science Logic and Foundations of Programming.