Download Computational Processing of the Portuguese Language: 8th by Carla Lopes, Fernando Perdigão (auth.), António Teixeira, PDF

By Carla Lopes, Fernando Perdigão (auth.), António Teixeira, Vera Lúcia Strube de Lima, Luís Caldas de Oliveira, Paulo Quaresma (eds.)

This ebook constitutes the completely refereed lawsuits of the eighth foreign Workshop on Computational Processing of the Portuguese Language, PROPOR 2008, held in Aveiro, Portugal, in September 2008.

The 21 revised complete papers and sixteen revised brief papers provided have been rigorously reviewed and chosen from sixty three submissions. The papers are prepared in topical sections on speech research; ontologies, semantics and anaphora solution; speech synthesis; computing device studying utilized to usual language processing; speech attractiveness and functions; average language processing instruments and purposes; posters.

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Extra info for Computational Processing of the Portuguese Language: 8th International Conference, PROPOR 2008 Aveiro, Portugal, September 8-10, 2008 Proceedings

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The user gets the VB “attention” by uttering its name “Ambrósio”, followed by a command to control a specific device. The butler acknowledges the users request and, if more information is needed to disambiguate that order, automatically questions the user, engaging a dialogue. This ambiguity can arise, for instance, directly from the previous request example, since it is possible to control both table and ceiling lights in the room. Therefore, the VB needs to complete the command “liga a luz” (turn on the light) knowing which light will be switched on.

Linguistics in Philosophy 64, 147– 171 (1967) 25. : The Parsing System PALAVRAS: Automatic Grammatical Analysis of Protuguese in a Constraint Grammar Framework. es Abstract. In this paper, we describe and compare two different approaches for extracting similar words from large corpora. In particular, we compared a method based on syntactic contexts with two strategies relying on windows of tagged words, one using word order and the other bags of words. On a Portuguese corpus of 12 million words, syntactic contexts produce significantly better results for both frequent and not very frequent words.

B. Jackson 200 200 Unvoiced Voiced 200 180 160 160 160 160 140 140 140 140 120 120 120 120 100 100 100 100 80 80 80 80 60 60 60 60 40 40 40 40 20 20 20 20 0 0 0 20 40 60 80 100 120 140 160 1 0 10 100 1000 count 1000 100 10 1 200 0 count count 10 100 1000 count 1000 0 20 40 60 80 100 SOD (ms) 120 200 140 200 160 160 160 160 140 140 140 140 120 120 120 120 100 100 100 100 80 80 80 80 60 60 60 60 40 40 40 40 20 20 20 20 0 0 0 40 60 80 100 120 140 160 100 10 1 1 0 20 40 60 80 100 SOD (ms) 120 140 160 0 20 40 60 80 100 120 140 160 80 100 SOD (ms) 120 140 160 Unvoiced Voiced 0 10 100 1000 count 1000 count count UFD (ms) 180 20 60 200 180 0 40 EP 180 10 100 1000 count 1000 20 10 180 1 0 100 1 160 Unvoiced Voiced EP Unvoiced Voiced BE 180 1 UFD (ms) 200 180 UFD (ms) UFD (ms) BE 180 0 20 40 60 0 20 40 60 80 100 120 140 160 80 100 SOD (ms) 120 140 160 100 10 1 Fig.

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