遇见数据集

The EUTRANS-I corpus

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Zenodo2021-10-20 更新2026-04-07 收录
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EUTRANS-I is a simple translation corpus which was produced and used in the EuTrans project. It corresponds to the so called "Traveller Task" which involves human-to-human communication situations in the front-desk of a hotel. Bilingual data were produced semi-automatically in three language pairs on the base of small "seed corpora", obtained from several traveler-oriented booklets. In using this corpus you agree that: 1. This corpus may be used free of cost for non commercial purposes. 2. If commercial use is intended, please first contact:<br> Dr. Enrique Vidal<br> Pattern Recognition and Language Technologies Research Center<br> Cno. de Vera s/n<br> E - 46071 Valencia<br> tel: +34 / 96 387 93 51<br> fax: +34 / 96 387 73 58<br> e-mail: evidal@prhlt.upv.es 3. In case of redistribution, this file must be distributed as is<br> along with the corpus. 4. Any publication derived from the use of this corpus must reference<br> the EuTrans project ("Example-based langUage TRANslation Systems",<br> EU Esprit #30268) and appropriate scholarly citation(s), such as: J.C. Amengual, J.M. Benedí, F. Casacuberta, A. Castaño,<br> A. Castellanos, V. Jiménez, D. Llorens, A. Marzal, F. Prat,<br> E. Vidal, and J.M. Vilar: "Using categories in the EuTrans<br> system". In ACL-ELSNET Workshoop on Spoken Language Translation,<br> pages 44-53, Madrid (Spain), July 1997. J.C.Amengual, J.M.Benedí F.Casacuberta, A.Castaño, A.Castellanos,<br> V.Jiménez, D.Llorens, A.Marzal, M.Pastor, F.Prat, E.Vidal,<br> J.M.Vilar: "The EuTrans-I Speech Translation System". Machine<br> Translation. Vol.15, pp.75-103, 2001. F.Casacuberta, H.Ney, F.J.Och, J.M.Vilar, E.Vidal, S.Barrachina,<br> I.García-Varea, C.Martínez D.Llorens, S.Molau, F.Nevado, M.Pastor,<br> D.Picó, A.Sanchís: "Some ap- proaches to statistical and<br> finite-state speech-to-speech translation". Computer Speech and<br> Language, Vol.18, pp.25-47, 2004. F.Casacuberta, E.Vidal, D.Picó: "Inference of finite-state<br> transducers from regular languages". Pattern Recognition. Vol.38,<br> pp.1431-1443, 2005. F.Casacuberta, E.Vidal: "Learning finite-state models for machine<br> translation". Machine Learning, Vol.66(1), pp.69-91, 2007.

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2021-10-20
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