By José Luis Vicedo, Particio Martínez-Barco, Rafael Munoz, Maximiliano Saiz Noeda
This publication constitutes the refereed lawsuits of the 4th overseas convention, EsTAL 2004, held in Alicante, Spain in October 2004.
The forty two revised complete papers awarded have been conscientiously reviewed and chosen from seventy two submissions. The papers handle present matters in computational linguistics and monolingual and multilingual clever language processing and functions, specifically written language research and new release; pragmatics, discourse, semantics, syntax, and morphology; lexical assets; notice experience 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; laptop translation and translation instruments; and computational lexicography; details retrieval; extraction and query answering; computerized summarization; rfile categorization; average language interfaces; and discussion structures and overview of systems.
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Additional info for Advances in natural language processing: 4th international conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004: proceedings
Oliveira Thesis sponsored by a Portuguese Foundation for Science and Technology (FCT) scholarship. INESC-ID Lisboa had support from the POSI Program. References 1. D. Caseiro, H. Meinedo, A. Serralheiro, I. Trancoso and J. Neto, Spoken Book alignment using WFST HLT 2002 Human Language Technology Conference. 2. F. Malfrère and T. Dutoit, High-Quality Speech Synthesis for Phonetic Speech Segmentation. In Proceedings of Eurospeech’97, Rhodes, Greece, 1997. 3. Sakoe H. and Chiba,Dynamic programing algorithm optimization for spoken word recognition.
Nevertheless, the phone models used in the HMM-based aligner were trained on data aligned by the the speech-synthesis-based aligner. These results also suggest that the use of HMM-based along with speech-synthesisbased annotation tools can be worthy as the former is more robust and the later is more accurate. 3 Confidence Scores In this section we propose some phone-based confidence scores for detecting misalignments in the utterance. The goal is to locate regions of the speech signal where the alignment method may have failed and that could benefit from human intervention.
4 Acquisition of Transfer Rules For the automatic acquisition of new transfer rules from Japanese–German sentence pairs, we first compute both parsing trees as input to the acquisition component. The acquisition algorithm traverses both syntax trees in a top-down fashion. We start the search for new rules at the sentence level before we look for corresponding subconstituents to continue the search for finer-grained transfer rules recursively. e. rules are learnt even if they are not needed for the translation of the Japanese sentence in order to extract as much information as possible from the example.
Advances in natural language processing: 4th international conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004: proceedings by José Luis Vicedo, Particio Martínez-Barco, Rafael Munoz, Maximiliano Saiz Noeda