By José Luis Vicedo, Particio Martínez-Barco, Rafael Munoz, Maximiliano Saiz Noeda
This ebook constitutes the refereed court cases of the 4th overseas convention, EsTAL 2004, held in Alicante, Spain in October 2004.
The forty two revised complete papers offered have been rigorously reviewed and chosen from seventy two submissions. The papers deal with present concerns in computational linguistics and monolingual and multilingual clever language processing and purposes, specifically written language research and new release; pragmatics, discourse, semantics, syntax, and morphology; lexical assets; note feel disambiguation; linguistic, mathematical, and morphology; lexical assets; notice feel disambiguation; linguistic, mathematical, and mental versions of language; wisdom acquisition and illustration; corpus-based and statistical language modeling; desktop translation and translation instruments; and computational lexicography; info retrieval; extraction and query answering; computerized summarization; rfile categorization; average language interfaces; and discussion platforms and overview of systems.
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Additional resources for Advances in natural language processing: 4th international conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004: proceedings
As a byproduct of this sorting process we obtain the set difference Add = A1\ Req1 as all remaining constituents in A1 that were not retrieved. Example 7. The expression JI O KAKU (literally to write characters) in the Japanese verb phrase KATAMEN NI JI O KAKU (to write on one side) is replaced by the verb beschreiben within the corresponding German verb phrase: The rule specifies that for any complex constituent with head word KAKU and direct object (dob) JI these two subconstituents are replaced by the head word beschreiben.
In this context, the state of the art focuses on global techniques based on the consideration of error thresholds to reduce the number of repair alternatives, a technique often dependent on the recognizer. So, Oflazer  introduces a cut-off distance that can be performed efficiently by maintaining a matrix  which help the system to determine when a partial repair will not yield any result by providing non-decreasing repair paths. In order to save this maintaining, Savary  embeds the distance in the repair algorithm, although this allows to partial corrections may be reached several times with different intermediate * Research partially supported by the Spanish Government under projects TIC20000370-C02-01 and HP2002-0081, and the Autonomous Government of Galicia under projects PGIDIT03SIN30501PR and PGIDIT02SIN01E.
We will call it the Overlap Rate (OvR). Fig. 2 illustrates the computation of Automatic Phonetic Alignment and Its Confidence Measures 39 this measure. Given a segment, a reference segmentation (RefSeg), and the segmentation to be evaluated (AutoSeg), OvR is the ratio between the number of frames that belong to that segment in both the segmentations (Common_Dur in the fig. 2) and the number of frames that belong to the segment in one segmentation, at least (Dur_max if the fig. 2). The following equation illustrates the computation of OvR: Fig.
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