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Natural Language Processing: The PLNLP Approach Book

Natural Language Processing: The PLNLP Approach
Natural Language Processing: The PLNLP Approach, 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 Langua, Natural Language Processing: The PLNLP Approach has a rating of 3 stars
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Natural Language Processing: The PLNLP Approach, 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 Langua, Natural Language Processing: The PLNLP Approach
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  • Natural Language Processing: The PLNLP Approach
  • Written by author Karen Jensen
  • Published by Springer-Verlag New York, LLC, October 1992
  • 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 Langua
  • 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. Natura
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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.


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Natural Language Processing: The PLNLP Approach, 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 Langua, Natural Language Processing: The PLNLP Approach

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Natural Language Processing: The PLNLP Approach, 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 Langua, Natural Language Processing: The PLNLP Approach

Natural Language Processing: The PLNLP Approach

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Natural Language Processing: The PLNLP Approach, 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 Langua, Natural Language Processing: The PLNLP Approach

Natural Language Processing: The PLNLP Approach

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