Get Human Language Technology. Challenges for Computer Science PDF

By Ladan Baghai-Ravary, Greg Kochanski, John Coleman (auth.), Zygmunt Vetulani (eds.)

ISBN-10: 364220094X

ISBN-13: 9783642200946

This e-book constitutes the refereed lawsuits of the 4th Language and expertise convention: demanding situations for desktop technology and Linguistics, LTC 2009, held in Poznan, Poland, in November 2009.

The fifty two revised and in lots of situations considerably prolonged papers offered during this quantity have been conscientiously reviewed and chosen from 103 submissions. The contributions are equipped in topical sections on speech processing, computational morphology/lexicography, parsing, computational semantics, discussion modeling and processing, electronic language assets, WordNet, rfile processing, info processing, and computer translation.

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Additional resources for Human Language Technology. Challenges for Computer Science and Linguistics: 4th Language and Technology Conference, LTC 2009, Poznan, Poland, November 6-8, 2009, Revised Selected Papers

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This speech corpus is designed for European Portuguese, although the idea can be extrapolated to other languages. The same data should be used to train the natural language processing (NLP) tasks and the synthesis engine, as this way achieves a better synchronization between the units selected by the NLP and the units that can be found in the synthesizer database. 2 Methodology The methodology used to design the corpus took into consideration the 38 phonemes from EP, presented in figure 1, and the silence unit, to construct one sentence dedicated to each of these 39 units combined with each other and themselves.

Besides considering diphones, it also considers sequences of phonemes that would not constitute a diphone of EP, but appear in EP continuous speech due to the vocalic reduction effect. The speech corpus is presented in its orthographic sentences and in its phonetic transcriptions considering the words coarticulation only and also the vocalic reduction effects. An analysis between both phonetic transcriptions is presented, in order to understand the importance of this effect in EP. The contextual factors considered for the corpus design were the occurrences of each diphone positioned at the beginning and end of the sentence, or at the beginning, middle and end of the word, and between two words, at the diphone level, and the occurrences of the words containing the target diphone at the beginning/middle/end of the sentence, or combinations with the target diphone between two words positioned at the beginning/middle/end of the sentence, at the word level.

Aside from the aforementioned modules, the DSP component includes also the unit selection module, which performs the selection of the speech units from the speech database using explicit matching criteria [7]. More details about the unit selection module are provided in the following paragraph. 1 Unit Selection Module The unit selection module provides a mechanism to automatically select the optimal sequence of database units that produce the final speech output, the quality of which depends on its efficiency.

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Human Language Technology. Challenges for Computer Science and Linguistics: 4th Language and Technology Conference, LTC 2009, Poznan, Poland, November 6-8, 2009, Revised Selected Papers by Ladan Baghai-Ravary, Greg Kochanski, John Coleman (auth.), Zygmunt Vetulani (eds.)


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