Articoli correlati a Natural Language Processing: The Plnlp Approach: 196
Sinossi
Natural language is easy for people and hard for machines. For two generations, the tantalizing goal has been to get computers to handle human languages in ways that will be compelling and useful to people. Obstacles are many and legendary.
Natural Language Processing: The PLNLP Approach describes one group's decade of research in pursuit of that goal. A very broad coverage NLP system, including a programming language (PLNLP) development tools, and analysis and synthesis components, was developed and incorporated into a variety of well-known practical applications, ranging from text critiquing (CRITIQUE) to machine translation (e.g. SHALT). This books represents the first published collection of papers describing the system and how it has been used. Twenty-six authors from nine countries contributed to this volume.
Natural language analysis, in the PLNLP approach, is done is six stages that move smoothly from syntax through semantics into discourse. The initial syntactic sketch is provided by an Augmented Phrase Structure Grammar (APSG) that uses exclusively binary rules and aims to produce some reasonable analysis for any input string. Its `approximate' analysis passes to the reassignment component, which takes the default syntactic attachments and adjusts them, using semantic information obtained by parsing definitions and example sentences from machine-readable dictionaries. This technique is an example of one facet of the PLNLP approach: the use of natural language itself as a knowledge representation language -- an innovation that permits a wide variety of online text materials to be exploited as sources of semantic information.
The next stage computes the intrasential argument structure and resolves all references, both NP- and VP-anaphora, that can be treated at this point in the processing. Subsequently, additional components, currently not so well developed as the earlier ones, handle the further disambiguation of word senses, the normalization of paraphrases, and the construction of a paragraph (discourse) model by joining sentential semantic graphs.
Natural Language Processing: The PLNLP Approach acquaints the reader with the theory and application of a working, real-world, domain-free NLP system, and attempts to bridge the gap between computational and theoretical models of linguistic structure. It provides a valuable resource for students, teachers, and researchers in the areas of computational linguistics, natural processing, artificial intelligence, and information science.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
1. Introduction; K. Jensen, G. Heidorn, S. Richardson. 2. Towards Transductive Linguistics; A.M. Ramer. 3. PEG: The PLNLP English Grammar; K. Jensen. 4. Experience with an Easily Computed Metric for Ranking Alternative Parses; G. Heidorn. 5. Parse Fitting and Prose Fixing; K. Jensen, G. Heidorn, L. Miller, Y. Ravin. 6. Grammar Errors and Style Weaknesses in a Text-Critiquing System; Y. Ravin. 7. The Experience of Developing a Large-Scale Natural Language Processing System: Critique; S. Richardson, L. Braden-Harder. 8. A Prototype English-Japanese Machine Translation System; T. Tsutsumi. 9. Broad-Coverage Machine Translation; D. Santos. 10. Building a Knowledge Base from Parsed Definitions; J. Klavans, M. Chodorow, N. Wacholder. 11. A Semantic Expert Using an Online Standard Dictionary; J.-L. Binot, K. Jensen. 12. Structural Patterns versus String Patterns for Extracting Semantic Information from Dictionaries; S. Montemagni, L. Vanderwende. 13. SENS: The System for Evaluating Noun Sequences; L. Vanderwende. 14. Disambiguating and Interpreting Verb Definitions; Y. Ravin. 15. Tailoring a Broad-Coverage Systems for the Analysis of Dictionary Definitions; S. Montemagni. 16. PEGASUS: Deriving Argument Structures after Syntax; K. Jensen. 17. A Two-Stage Algorithm to Parse Multi-Lingual Argument Structures; J.-P. Chanod, B. Harriehausen, S. Montemagni. 18. C-SHALT: English-to-Chinese Machine Translation Using Argument Structures; Ee Ah Choo, Koh Mui Koong, Low Hwee Boon, Tong Loong Cheong, Wan Kwee Ngim, Wee Li Kwang. 19. Sense Disambiguation Using Online Dictionaries; L. Braden-Harder. 20. Word-Sense Disambiguation by Examples; T. Tsutsumi. 21. Nominalization of Semantic Graphs; F. Segond. 22. The Paragraph as a Semantic Unit; W. Zadrozny, K. Jensen. References. Index.
Product Description
Book by None
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Altre edizioni note dello stesso titolo
Risultati della ricerca per Natural Language Processing: The Plnlp Approach: 196
Foto dell'editore
Natural Language Processing : The PLNLP Approach
Editore:
Springer, 1992
ISBN 10: 0792392795
ISBN 13: 9780792392798
Antico o usato
Rilegato
Prima edizione
Da: Better World Books, Mishawaka, IN, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Good. 1st Edition. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Codice articolo 52566647-6
Quantità: 1 disponibili
Immagini fornite dal venditore
Natural Language Processing: The PLNLP Approach
Editore:
Springer US 31.10.1992., 1992
ISBN 10: 0792392795
ISBN 13: 9780792392798
Antico o usato
Rilegato
Da: NEPO UG, Rüsselsheim am Main, Germania
Valutazione del venditore 5 su 5 stelle
Unbekannt. Condizione: Gut. 1993. 324 S. Natural language is easy for people and hard for machines. For two generations, the tantalizing goal has been to get computers to handle human languages in ways that will be compelling and useful to people. Obstacles are many and legendary. Natural Language Processing: The PLNLP Approach describes one group's decade of research in pursuit of that goal. A very broad coverage NLP system, including a programming language (PLNLP) development tools, and analysis and synthesis components, was developed and incorporated into a variety of well-known practical applications, ranging from text critiquing (CRITIQUE) to machine translation (e.g. SHALT). This books represents the first published collection of papers describing the system and how it has been used. Twenty-six authors from nine countries contributed to this volume. Natural language analysis, in the PLNLP approach, is done is six stages that move smoothly from syntax through semantics into discourse. The initial syntactic sketch is provided by an Augmented Phrase Structure Grammar (APSG) that uses exclusively binary rules and aims to produce some reasonable analysis for any input string. Its 'approximate' analysis passes to the reassignment component, which takes the default syntactic attachments and adjusts them, using semantic information obtained by parsing definitions and example sentences from machine-readable dictionaries. This technique is an example of one facet of the PLNLP approach: the use of natural language itself as a knowledge representation language -- an innovation that permits a wide variety of online text materials to be exploited as sources of semantic information. The next stage computes the intrasential argument structure and resolves all references, both NP- and VP-anaphora, that can be treated at this point in the processing. Subsequently, additional components, currently not so well developed as the earlier ones, handle the further disambiguation of word senses, the normalization of paraphrases, and the construction of a paragraph (discourse) model by joining sentential semantic graphs. Natural Language Processing: The PLNLP Approach acquaints the reader with the theory and application of a working, real-world, domain-free NLP system, and attempts to bridge the gap between computational and theoretical models of linguistic structure. It provides a valuable resource for students, teachers, and researchers in the areas of computational linguistics, natural processing, artificial intelligence, and information science. Sprache: Deutsch Gewicht in Gramm: 775. Codice articolo 50383
Quantità: 1 disponibili