6 resultados para terminologia finanziaria, variazione linguistica, analisi corpus-based
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Presentation for the 5th International Conference on Corpus Linguistics (CILC 2013), V Congreso Internacional de Lingüistica de Corpus.
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Edited by Andrea Abel, Chiara Vettori, Natascia Ralli.
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In this work the state of the art of the automatic dialogue strategy management using Markov decision processes (MDP) with reinforcement learning (RL) is described. Partially observable Markov decision processes (POMDP) are also described. To test the validity of these methods, two spoken dialogue systems have been developed. The first one is a spoken dialogue system for weather forecast providing, and the second one is a more complex system for train information. With the first system, comparisons between a rule-based system and an automatically trained system have been done, using a real corpus to train the automatic strategy. In the second system, the scalability of these methods when used in larger systems has been tested.
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The present corpus study aimed to examine whether Basque (OV) resorts more often than Spanish (VO) to certain grammatical operations, in order to minimi ze the number of arguments to be processed before the verb. Ueno & Polinsky (2009) argue that VO/OV languages use certain grammatical resources with different frequencies in order to facilitate real-time processing. They observe that both OV and VO languages in their sample (Japanese, Turkish and Spanish) have a similar frequency of use of subject pro-drop; however, they find that OV languages (Japanese, Turkish) use more intransitive sentences than VO languages (English, Spanish), and conclude this is an OV-specific strategy to facilitate processing. We conducted a comparative corpus study of Spanish (VO) and Basque (OV). Results show (a) that the fre- quency of use of subject pro-drop is higher in Basque than in Spanish; and (b) Basque does not use more intransitive sentences than Spanish; both languages have a similar frequency of intransitive sentences. Based on these findings, we conclude that the frequency of use of grammatical resources to facilitate the processing does not depend on a single typological trait (VO/OV) but it is modulated by the concurrence of other grammatical feature.
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This paper presents a method to generate new melodies, based on conserving the semiotic structure of a template piece. A pattern discovery algorithm is applied to a template piece to extract significant segments: those that are repeated and those that are transposed in the piece. Two strategies are combined to describe the semiotic coherence structure of the template piece: inter-segment coherence and intra-segment coherence. Once the structure is described it is used as a template for new musical content that is generated using a statistical model created from a corpus of bertso melodies and iteratively improved using a stochastic optimization method. Results show that the method presented here effectively describes a coherence structure of a piece by discovering repetition and transposition relations between segments, and also by representing the relations among notes within the segments. For bertso generation the method correctly conserves all intra and inter-segment coherence of the template, and the optimization method produces coherent generated melodies.
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I. Hitzaldia: - Andrés Alberdi (EIMA): EIMA eta ikasmaterialaren kalitatea. - Araceli Diaz de Lezana: Euskarazko terminologiaren normalizazioa: terminología batzordea. - Juan Garzia (EHU, Euskara Zerbitzua): EHUko Euskara Zerbitzua: ereduak ontzeko bideak lantzen. - Antton Gurrutxaga et alii (Elhuyar): Internet, corpusak eta terminología: Internetetik espezialitate-corpusak erauzteko teknikak eta horien ebaluazioa. - Josu Landa: Corpusen iraultza: maiztasunen korapiloa. - UZEI: Euskara juridikoa eta abokatuen hizkuntza-baliabideak. II. Komunikazioak: - Xabier Alberdi (EHU): Kalkoen eragina euskara akademikoaren garapen lexikoan: Lan Zuzenbideko terminología. - Kepa Altonaga (EHU): Arnaut Abadia (1843-1916), gure zientzia-prosaren aurrendari ahaztu bat. - Xabier Arregi, Ana Arruarte, Xabier Artola, Mikel Lersundi, Gotzon Santander eta Joseba Umbellina (IXA): TZOS: Terminologia Zerbitzurako On-line Sistema. - José Ramón Etxebarria (EHU): Matematika eta fisikako zenbait esamolde estandaritzateko proposamena. - Joseba Ezeiza (EHU): DB (Dokumentu Biltegia): corpus akademikoak sortzeko eta kudeatzeko azpiegitura teknologikoa. - Julio García García de los Salmones (EHU): Kalkoaren kontzeptua eta haren terminologia ikasliburuetan eta gramatiketan. - Jacinto Iturbe (EHU): Elementu kimikoen izenen formak hainbat hiztegitan eta gaur eguneko forma kanonikoak. - Itziar San Martín, Igone Zabala eta Joseba Ezeiza (EHU): Aditzetiko izenak erregistro-bereizle gisa: corpus espezializatu baten azterketa morfopragmatikoa. - Igone Zabala eta Agurtzane Elordui (EHU): Nominalizazioa estrategia diskurtsibo gisa: corpus akademikoaren azterketaren beharra.