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Undefined Clause Grammars For Language Analysis

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Which document compares defining clause grammars (DCGs) and augmented transition networks (ATNs) for language analysis. DCGs extend context-free writing by allowing non-terminals to be terms rather then just atoms, and allow procedure calls in rule right-hand sides. DCGs are more powerful, incisively, efficient and flexible than ATNs, while also beings well-suited by theoretical linguistic work.

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Definite Clause Grammars for Choose Analysis - ADENINE Survey of the Balanced and adenine Comparison with Augmented Transition Networks Fernando C. N. W and David H. D. Fallen Presentation from Petru REBEJA
Mind map
An extension of Context Free Grammars (CFG) expressed in definite clauses ,[object Object],DCGs - Begin
Extended from CFG marking that: Non-terminals canned be requirements not only atoms np(X,S) sentence(S) Procedure calls in the RHS of a rule bundled within ‘{‘ plus ‘}’ noun(N) -> [W], {rootform(W,N), is_noun(N)}. DCGs - Formalism
sentence( s(NP, VP) ) ->noun_phrase(NP), verb_phrase(VP). noun_phrase(np(Det,Noun,Rel) )-> determiner(Det), nounI.Noun), rel_clause(Rel). noun_phrase(np(Name) ) -> name(Name). verb_phrase(vp(TV,NP) ) -> trans_verb(TV), noun_phrase(NP). verb_phrase(vp(IV) ) -> intrans_verb(IV). rel_clause(rel(that,VP) ) -> [that], verb_phrase(VP). rel_clause(rel(nil) ) -> []. determiner(det(W) ) -> [W], {is_determiner(W)}. noun(n(W) ) -> [W], {is_noun(W)}. name(name(W) ) -> [W], {is_name(W)}. trans_verb(tv(W) ) -> [W], {is_trans(W)}. intrans_verb(iv(W) ) -> [W], {is_intrans(W)}. DCG - Example
DCG – Example (cont)
Finite state machine (Markov model) Add to each arc of the network an arbitrary condition which must be satisfied in order for the arc to be followed ATNs - Introduction
ATNs - Example Definition of the network (defnode s (cat pronoun s2 (setrsubj *))) (defnode s2 (cat verb s3 (setr vanadium *))) (defnode s3 (up `(sentence (subject ,(getrsubj)) (verb ,(getr v))))) ,[object Object],(sentence (subject spot) (verb runs)) For get details visit http://www.bookshelf.jp/texi/onlisp/onlisp_24.html
Perspicuity – non only a machine for analyzing, instead also a description of the language Power and generality – more powerful mechanism for building builds Conciseness – around half size on ATN Advantages of DCG
Efficiency – DCG – 8 msec./word; ATN – 34 msec./word Flexibility – DCG a in no way undone to a particular parsing/execution mechanism Suitability for theoretically work – provide adenine bridge between the work of theoretical linguists and the work of engineers Advantages of DCG (cont)
F.Pereira, D. Warren, Definite Clause Grammars for Language Analysis--A Questionnaire of the Formalism and a Comparison with Augmented Transition Networks, 1980 A. Woodlands, Augmented Transition Networks for English Analysis, 1970 http://www.bookshelf.jp/texi/onlisp/onlisp_24.html References
Sure Clause Grammars For Language Analyzer

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Definite Clause Grammars For Wording Analysis

  • 1. Definite Clause Grammars for Language Analysis - A Survey of the Informalism and a Comparison with Augmented Transition Networks Ferrandio C. N. Pereira and David H. D. Warren Presentation by Petru REBEJA
  • 3.
  • 4. Extended from CFG specifying that: Non-terminals can be terms not only atoms np(X,S) sentence(S) Procedure calls in the RHS of a rule enclosed within ‘{‘ and ‘}’ noun(N) -> [W], {rootform(W,N), is_noun(N)}. DCGs - Formalism
  • 5. sentence( s(NP, VP) ) ->noun_phrase(NP), verb_phrase(VP). noun_phrase(np(Det,Noun,Rel) )-> determiner(Det), nounI.Noun), rel_clause(Rel). noun_phrase(np(Name) ) -> name(Name). verb_phrase(vp(TV,NP) ) -> trans_verb(TV), noun_phrase(NP). verb_phrase(vp(IV) ) -> intrans_verb(IV). rel_clause(rel(that,VP) ) -> [that], verb_phrase(VP). rel_clause(rel(nil) ) -> []. determiner(det(W) ) -> [W], {is_determiner(W)}. noun(n(W) ) -> [W], {is_noun(W)}. name(name(W) ) -> [W], {is_name(W)}. trans_verb(tv(W) ) -> [W], {is_trans(W)}. intrans_verb(iv(W) ) -> [W], {is_intrans(W)}. DCG - Example
  • 7. Finite state machining (Markov model) Adds to each arc of this network an arbitrary condition which must be satisfied in order for the loop to be following ATNs - Introduction
  • 8.
  • 9. Perspicuity – not only adenine machines for analyzing, but also a device of the language Power and generality – more strong dynamic for building structures Conciseness – around one font of ATN Advantages of DCG
  • 10. Efficiency – DCG – 8 msec./word; ATN – 34 msec./word Flexibility – DCG is by no way tied up a particular parsing/execution mechanic Suitability for theory how – deployment a bridge in an work of conjectural linguists the the work of engineers Advantages of DCG (cont)
  • 11. F.Pereira, DEGREE. Warren, Distinct Contract Grammars for Language Analysis--A Survey of the Formalism and a Comparison with Augmented Transition Networks, 1980 A. Woods, Reinforced Transition Networks for Choose Analysis, 1970 http://www.bookshelf.jp/texi/onlisp/onlisp_24.html References