LEADER 05664nam 2200697 450 001 9910787977603321 005 20230124191301.0 010 $a90-272-7064-3 035 $a(CKB)2670000000548210 035 $a(EBL)1653559 035 $a(SSID)ssj0001132471 035 $a(PQKBManifestationID)11574184 035 $a(PQKBTitleCode)TC0001132471 035 $a(PQKBWorkID)11148290 035 $a(PQKB)10426697 035 $a(MiAaPQ)EBC1653559 035 $a(Au-PeEL)EBL1653559 035 $a(CaPaEBR)ebr10851070 035 $a(CaONFJC)MIL582570 035 $a(OCoLC)877885843 035 $a(EXLCZ)992670000000548210 100 $a20140331h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aLanguage processing and grammars $ethe role of functionally oriented computational models /$fedited by Brian Nolan, Carlos Perin?a?n-Pascual 210 1$aAmsterdam, Netherlands :$cJohn Benjamins Publishing Company,$d2014. 210 4$dİ2014 215 $a1 online resource (402 p.) 225 1 $aStudies in Language Companion Series,$x0165-7763 ;$vVolume 150 300 $aDescription based upon print version of record. 311 $a90-272-5915-1 320 $aIncludes bibliographical references at the end of each chapters. 327 $aLanguage Processing and Grammars; Editorial page; Title page; LCC data; Table of contents; Introduction; References; From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets; 1. Introduction; 2. Algorithmic typology; 2.1 Degree of synthesis; 2.2 Amount of prefixing and suffixing; 2.3 Amount of case marking; 2.4 Synthetic vs. analytic negation marking; 3. Visual analytics; 4. Combining genealogical and areal information in a single visualization; 4.1 The extended sunburst display; 4.2 User interaction; 4.3 Design decisions 327 $a4.4 Meta-information5. Case studies; 5.1 Case study 1: Indo-European languages; 5.2 Case study 2: Languages of Papua New Guinea; 6. Conclusions and outlook; Acknowledgments; References; Lexical-syntactic analysis model of Spanish multi-word expressions; 1. Introduction; 2. Lexicon and syntactic phenomena; 2.1 The Lexicon; 2.2 Lexical and syntactic phenomena; 3. Combinatorial interdependencies; 3.1 Syntagmatic relations; Addition; Ellipsis; Permutation; Versification; 3.2 Paradigmatic relations; Commutation; Deautomatization; Morpho-syntactic invariability features 327 $a3.3 Inflectional morphology of complex lexical units3.4 Formal definitions; 3.5 Typology of multi-member lexical units; 4. Formal representation; 5. Conclusions; References; Three-place predicates in RRG; 1. Introduction; 2. RRG accounts to three-place predicates; 3. A new computational model to RRG; 4. Conclusion; References; A Role and Reference Grammar parser for German; 1. Introduction; 1.1 Grammatical features of German; 1.2 The grammar model; 2. German sentence structure in a RRG construction representation; 3. Functional and technical requirements 327 $a4. The constructions used for the parser4.1 Construction 1: Die Katze trinkt die Milch; 4.2 Construction 2: Die Katze trank die Milch; 4.3 Construction 3: Die Katze ist auf dem Tisch; 4.4 Construction 4: Trinkt die Katze die Milch; 4.5 Construction 5: Die Katze hat die Milch getrunken; 4.6 Construction 6: Getrunken hat die Katze die Milch; 4.7 Construction 7: Die Milch wird von der Katze getrunken; 4.8 Construction 8: Die Katze hat die Milch auf dem Tisch getrunken; 5. Functional requirements of the parser; 5.1 Sentence structure; 5.2 The lexicon 327 $a5.3 The layout of the Role and Reference Grammar structure representation6. Testing and results; 6.1 Testing of construction 1; 6.2 Testing of construction 2; 6.3 Testing of construction 3; 6.4 Testing of construction 4; 6.5 Testing of construction 5; 6.6 Testing of construction 6; 6.7 Testing of construction 7; 6.8 Testing of construction 8; 7. Discussion; 7.1 Purpose; 7.2 Significance of this work; 7.3 Future enhancements; References; Extending a lexicalist functional grammar through speech acts, constructions and conversational software agents; 1. Introduction 327 $a2. Intelligent conversational agents 330 $aThis paper investigates the notion of low-level situational cognitive model, its role in linguistic description and its possible computational treatment in the knowledge base FunGramKB. Low-level situational models are exploited metonymically to produce situation-based implicatures. When such inferences become stably associated with a formal pattern, they give rise to implicational constructions. Other kinds of construction make use of different kinds of cognitive model. For example, argument-structure constructions are based on high-level non-situational cognitive models. The paper then provi 410 0$aStudies in language companion series ;$vVolume 150. 606 $aNatural language processing (Computer science) 606 $aFunctionalism (Linguistics) 606 $aGenerative grammar 606 $aComputational linguistics 615 0$aNatural language processing (Computer science) 615 0$aFunctionalism (Linguistics) 615 0$aGenerative grammar. 615 0$aComputational linguistics. 676 $a006.3/5 702 $aNolan$b Brian$f1952- 702 $aPerin?a?n Pascual$b Carlos 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910787977603321 996 $aLanguage processing and grammars$93813385 997 $aUNINA