Formal Grammar
Formal Grammar 22nd International Conference, FG 2017, Toulouse, France, July 22-23, 2017, Revised Selected Papers / [electronic resource] :
edited by Annie Foret, Reinhard Muskens, Sylvain Pogodalla.
- 1st ed. 2018.
- XI, 157 p. 41 illus. online resource.
- Theoretical Computer Science and General Issues ; 10686 .
- Theoretical Computer Science and General Issues ; 10686 .
Acceso multiusuario
Binding Domains: Anaphoric and Pronominal Pronouns in Categorial Grammar -- Morphological agreement in Minimalist Grammars -- A Model-Theoretic Reconstruction of Type-Theoretic Semantics forAnaphora -- Logical Entity Level Sentiment Analysis -- Reforming AMR -- The Logic of Ambiguity: The Propositional Case -- Advantages of constituency: computational perspectives on Samoanword prosody -- Modelling derivational morphology: A case of pre x stacking in Russian -- On generalized noun phrases -- Correction Note to: The Proper Treatment of Linguistic Ambiguity in Ordinary Algebra.
Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book constitutes the refereed proceedings of the 22nd International Conference on Formal Grammar, FG 2017, collocated with the European Summer School in Logic, Language and Information in July 2017. The 9 contributed papers were carefully reviewed and selected from 14 submissions. The focus of papers are as follows: Formal and computational phonology, morphology, syntax, semantics and pragmatics Model-theoretic and proof-theoretic methods in linguistics Logical aspects of linguistic structure Constraint-based and resource-sensitive approaches to grammar Learnability of formal grammar Integration of stochastic and symbolic models of grammar Foundational, methodological and architectural issues in grammar and linguistics Mathematical foundations of statistical approaches to linguistic analysis.
9783662563434
Mathematical logic.
Natural language processing (Computer science).
Optical data processing.
Application software.
Data mining.
Mathematical Logic and Formal Languages.
Natural Language Processing (NLP).
Natural Language Processing (NLP).
Image Processing and Computer Vision.
Computer Appl. in Social and Behavioral Sciences.
Data Mining and Knowledge Discovery.
QA8.9-10.3
005.131
Acceso multiusuario
Binding Domains: Anaphoric and Pronominal Pronouns in Categorial Grammar -- Morphological agreement in Minimalist Grammars -- A Model-Theoretic Reconstruction of Type-Theoretic Semantics forAnaphora -- Logical Entity Level Sentiment Analysis -- Reforming AMR -- The Logic of Ambiguity: The Propositional Case -- Advantages of constituency: computational perspectives on Samoanword prosody -- Modelling derivational morphology: A case of pre x stacking in Russian -- On generalized noun phrases -- Correction Note to: The Proper Treatment of Linguistic Ambiguity in Ordinary Algebra.
Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book constitutes the refereed proceedings of the 22nd International Conference on Formal Grammar, FG 2017, collocated with the European Summer School in Logic, Language and Information in July 2017. The 9 contributed papers were carefully reviewed and selected from 14 submissions. The focus of papers are as follows: Formal and computational phonology, morphology, syntax, semantics and pragmatics Model-theoretic and proof-theoretic methods in linguistics Logical aspects of linguistic structure Constraint-based and resource-sensitive approaches to grammar Learnability of formal grammar Integration of stochastic and symbolic models of grammar Foundational, methodological and architectural issues in grammar and linguistics Mathematical foundations of statistical approaches to linguistic analysis.
9783662563434
Mathematical logic.
Natural language processing (Computer science).
Optical data processing.
Application software.
Data mining.
Mathematical Logic and Formal Languages.
Natural Language Processing (NLP).
Natural Language Processing (NLP).
Image Processing and Computer Vision.
Computer Appl. in Social and Behavioral Sciences.
Data Mining and Knowledge Discovery.
QA8.9-10.3
005.131
