Computational Linguistics and Intelligent Text Processing: by Ian C. Chow, Jonathan J. Webster (auth.), Alexander Gelbukh

By Ian C. Chow, Jonathan J. Webster (auth.), Alexander Gelbukh (eds.)

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Read or Download Computational Linguistics and Intelligent Text Processing: 8th International Conference, CICLing 2007, Mexico City, Mexico, February 18-24, 2007. Proceedings PDF

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Additional resources for Computational Linguistics and Intelligent Text Processing: 8th International Conference, CICLing 2007, Mexico City, Mexico, February 18-24, 2007. Proceedings

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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. The growth of the Web, the maturation of linguistic processing tools, and the decline in price of memory storage allow us to envision descriptions of languages that are much larger than before. We can conceive of building a complete language model for a language using all the text that is found on the Web for this language.

If the word refers to different senses, a page which we name homonymous page is shown with an enumeration of all the senses indexed in the encyclopedia and for each sense a hypertext link which leads to a definition page relating to this given sense. – If the term does not belong to Wikipedia a specific page is shown. Another interesting characteristic is that Wikipedia is a multilingual encyclopedia. By using hypertexts links, an user can navigate from a page written in a langage to another one written in an other language (if the link exists).

The repeating patterns are removed in the translation results. For example, the first part before the colon in the sentence, “Things that are often found together are: water, people, boat, ” is a template, and only the part after that is extracted and translated. The Korean sentences generated from the translation process are tagged with part of speech (POS) and then parsed using [7] and [8]. Because of translator errors, some of the translated Korean sentences have a grammatically invalid or awkward structure.

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