By Alexander Gelbukh
This booklet constitutes the refereed court cases of the eighth foreign convention on Computational Linguistics and clever textual content Processing, CICLing 2007, held in Mexico urban, Mexico in February 2007.
The fifty three revised complete papers provided including three invited papers have been rigorously reviewed and chosen from 179 submissions. The papers hide all present concerns in computational linguistics examine and current clever textual content processing purposes. The papers are equipped in topical sections on: lexical assets, corpus-based wisdom acquisition, morphology and part-of-speech tagging, named entity attractiveness, temporal expression therapy, observe segmentation, sentence splitting, chunking, grammar formalisms and syntax, be aware experience disambiguation and discrimination, semantics, humor and emotion research; laptop translation, usual language new release, clever tutoring structures, details retrieval, query answering, textual content summarization and data extraction, textual content categorization and clustering, and spell-checking.
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Extra info for Computational Linguistics and Intelligent Text Processing: 8th International Conference, CICLing 2007, Mexico City, Mexico, February 18-24, 2007, Proceedings ... Computer Science and General Issues)
Example text
As a way to build & evaluate Korean commonsense knowledge, we have launched a web-site7 where our machine translated results are opened to everybody who access to the web page. Anyone can evaluate existing E-K translated concepts by looking at the original English sentences and participate in inputting corrected commonsense knowledge in Korean. References 1. : ConceptNet – A Practical Commonsense Reasoning Tool-kit. BT Technology Journal, (2004), 211-226. 2. , Mueller, E. : Open Mind Common Sense: Knowledge acquisition from the general public.
5. Rule-based MT [Part II] (3) Development of translation rules: Based on the result of the previous tagging, a set of E-K translation rules were defined by human’s intellectual work. 2% of the concepts were covered by about 130 translation rules. (4) Refining the rules: Although a set of translation rules has been developed, there is a potential for POS tagging errors. After checking hundreds of manual POS pattern checking, we have revised the errors to minimize rule-based translation errors. 2% of the English concepts in the English ConceptNet.
D. thesis, Korea University, (2005). 8. : Probabilistic Feature-based Parsing Model for Korea Syntactic Analysis. Ph. D. thesis, Korea University, (2005). 9. : Some advances in rule-based part of speech tagging. Proc. of the 20th National Conf. on Artificial Intelligence, (1994), 722-727. 10. : Disambiguation Based on Wordnet for Transliteration of Arabic Numerals for Korean TTS, Proc. of Computational Linguistics and Intelligent Text Processing (CICLing), (2006), 366-377. htm Abstract. Dictionaries only contain some of the information we need to know about a language.