945 resultados para Parallel Corpus


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Brazil was one of the countries that stood out in the list of nations that publishes more articles in scientific journals. From 2007 to 2008, the Brazilian scientific production has moved from 15th to 13rd place in the world ranking published articles in professional journals. However, 60% of articles published by the Brazilians are in Portuguese, which makes the Brazilian work have little international attention. The purpose of this research is to build and analyze a parallel corpus composed of a book of Remote Sensing and its translation in the direction English into Portuguese in order to create a glossary of most recurrent terms in the literature of Remote Sensing. The achievement of these goals will take for theoretical and methodological foundation the Corpus-Based Translation Studies (BAKER, 1993, 1995, 1996; CAMARGO, 2005), Corpus Linguistics (BERBER SARDINHA, 2004) and principles of Terminology (BARROS, 2004; KRIEGER & FINATTO, 2004). It will also use Wordsmith Tools program and its tools. Besides the parallel corpus, we will also build two comparable corpora respectively from articles published in Brazilian and international journals in the area. The first results show that the translators made use of greater variation of vocabulary in their translations, which can be a way to make the text more clear to the reader. For the analysis of glossary entries, professionals from the National Institute for Space Research - INPE, will be consulted and their views aggregated to this research to give consistency to the production of the proposed bilingual glossary.

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The aim of this research is to build and analyze a parallel corpus in the field of remote sensing in order to identify, according to its frequency, specialized collocations in English and then search for their equivalents in Portuguese. The research is based on the interdisciplinary approach of Corpus-Based Translation Studies (BAKER, 1995; CAMARGO, 2007), Corpus Linguistics (BERBER SARDINHA, 2004; TOGNINI-BONELLI, 2001), Phraseology (ORENHA-OTTAIANO, 2009; PAVEL, 1993), and some principles of Terminology (BARROS, 2004). For manipulating the corpora, the program WordSmith Tools (SCOTT, 2012) version 6.0 is used. To support this study, two comparable corpora in English and Portuguese were also built from articles published in both national and international journals in remote sensing. The results show that the collocations in Portuguese seem to be still in the process of conventionalization, as the translators made use of greater variation in their translational options, which can be a way to make the text clearer for the reader.

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[EN] This article focuses on a specific feature found in tourist guidebooks –the recurrent use of foreign expressions or “third language”. It presents the findings of a comparative analysis of a parallel corpus made up of twenty guidebooks: ten guidebooks originally written in English and their corresponding translated versions in Spanish, describing different countries and cities (all of them published by Lonely Planet), focusing on those chapters in which the writer includes practical information. The purpose of the study is to analyze the use of the third language in the English and Spanish versions and to determine and identify the translation strategies used by the translators to transfer these linguistic elements from one language to the other.

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This paper describes methods and results for the annotation of two discourse-level phenomena, connectives and pronouns, over a multilingual parallel corpus. Excerpts from Europarl in English and French have been annotated with disambiguation information for connectives and pronouns, for about 3600 tokens. This data is then used in several ways: for cross-linguistic studies, for training automatic disambiguation software, and ultimately for training and testing discourse-aware statistical machine translation systems. The paper presents the annotation procedures and their results in detail, and overviews the first systems trained on the annotated resources and their use for machine translation.

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This paper describes a preprocessing module for improving the performance of a Spanish into Spanish Sign Language (Lengua de Signos Espanola: LSE) translation system when dealing with sparse training data. This preprocessing module replaces Spanish words with associated tags. The list with Spanish words (vocabulary) and associated tags used by this module is computed automatically considering those signs that show the highest probability of being the translation of every Spanish word. This automatic tag extraction has been compared to a manual strategy achieving almost the same improvement. In this analysis, several alternatives for dealing with non-relevant words have been studied. Non-relevant words are Spanish words not assigned to any sign. The preprocessing module has been incorporated into two well-known statistical translation architectures: a phrase-based system and a Statistical Finite State Transducer (SFST). This system has been developed for a specific application domain: the renewal of Identity Documents and Driver's License. In order to evaluate the system a parallel corpus made up of 4080 Spanish sentences and their LSE translation has been used. The evaluation results revealed a significant performance improvement when including this preprocessing module. In the phrase-based system, the proposed module has given rise to an increase in BLEU (Bilingual Evaluation Understudy) from 73.8% to 81.0% and an increase in the human evaluation score from 0.64 to 0.83. In the case of SFST, BLEU increased from 70.6% to 78.4% and the human evaluation score from 0.65 to 0.82.

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This paper proposes a methodology for developing a speech into sign language translation system considering a user-centered strategy. This method-ology consists of four main steps: analysis of technical and user requirements, data collection, technology adaptation to the new domain, and finally, evalua-tion of the system. The two most demanding tasks are the sign generation and the translation rules generation. Many other aspects can be updated automatical-ly from a parallel corpus that includes sentences (in Spanish and LSE: Lengua de Signos Española) related to the application domain. In this paper, we explain how to apply this methodology in order to develop two translation systems in two specific domains: bus transport information and hotel reception.

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This paper presents a methodology for adapting an advanced communication system for deaf people in a new domain. This methodology is a user-centered design approach consisting of four main steps: requirement analysis, parallel corpus generation, technology adaptation to the new domain, and finally, system evaluation. In this paper, the new considered domain has been the dialogues in a hotel reception. With this methodology, it was possible to develop the system in a few months, obtaining very good performance: good speech recognition and translation rates (around 90%) with small processing times.

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La principal aportación de esta tesis doctoral ha sido la propuesta y evaluación de un sistema de traducción automática que permite la comunicación entre personas oyentes y sordas. Este sistema está formado a su vez por dos sistemas: un traductor de habla en español a Lengua de Signos Española (LSE) escrita y que posteriormente se representa mediante un agente animado; y un generador de habla en español a partir de una secuencia de signos escritos mediante glosas. El primero de ellos consta de un reconocedor de habla, un módulo de traducción entre lenguas y un agente animado que representa los signos en LSE. El segundo sistema está formado por una interfaz gráfica donde se puede especificar una secuencia de signos mediante glosas (palabras en mayúscula que representan los signos), un módulo de traducción entre lenguas y un conversor texto-habla. Para el desarrollo del sistema de traducción, en primer lugar se ha generado un corpus paralelo de 7696 frases en español con sus correspondientes traducciones a LSE. Estas frases pertenecen a cuatro dominios de aplicación distintos: la renovación del Documento Nacional de Identidad, la renovación del permiso de conducir, un servicio de información de autobuses urbanos y la recepción de un hotel. Además, se ha generado una base de datos con más de 1000 signos almacenados en cuatro sistemas distintos de signo-escritura. En segundo lugar, se ha desarrollado un módulo de traducción automática que integra dos técnicas de traducción con una estructura jerárquica: la primera basada en memoria y la segunda estadística. Además, se ha implementado un módulo de pre-procesamiento de las frases en español que, mediante su incorporación al módulo de traducción estadística, permite mejorar significativamente la tasa de traducción. En esta tesis también se ha mejorado la versión de la interfaz de traducción de LSE a habla. Por un lado, se han incorporado nuevas características que mejoran su usabilidad y, por otro, se ha integrado un traductor de lenguaje SMS (Short Message Service – Servicio de Mensajes Cortos) a español, que permite especificar la secuencia a traducir en lenguaje SMS, además de mediante una secuencia de glosas. El sistema de traducción propuesto se ha evaluado con usuarios reales en dos dominios de aplicación: un servicio de información de autobuses de la Empresa Municipal de Transportes de Madrid y la recepción del Hotel Intur Palacio San Martín de Madrid. En la evaluación estuvieron implicadas personas sordas y empleados de los dos servicios. Se extrajeron medidas objetivas (obtenidas por el sistema automáticamente) y subjetivas (mediante cuestionarios a los usuarios). Los resultados fueron muy positivos gracias a la opinión de los usuarios de la evaluación, que validaron el funcionamiento del sistema de traducción y dieron información valiosa para futuras líneas de trabajo. Por otro lado, tras la integración de cada uno de los módulos de los dos sistemas de traducción (habla-LSE y LSE-habla), los resultados de la evaluación y la experiencia adquirida en todo el proceso, una aportación importante de esta tesis doctoral es la propuesta de metodología de desarrollo de sistemas de traducción de habla a lengua de signos en los dos sentidos de la comunicación. En esta metodología se detallan los pasos a seguir para desarrollar el sistema de traducción para un nuevo dominio de aplicación. Además, la metodología describe cómo diseñar cada uno de los módulos del sistema para mejorar su flexibilidad, de manera que resulte más sencillo adaptar el sistema desarrollado a un nuevo dominio de aplicación. Finalmente, en esta tesis se analizan algunas técnicas para seleccionar las frases de un corpus paralelo fuera de dominio para entrenar el modelo de traducción cuando se quieren traducir frases de un nuevo dominio de aplicación; así como técnicas para seleccionar qué frases del nuevo dominio resultan más interesantes que traduzcan los expertos en LSE para entrenar el modelo de traducción. El objetivo es conseguir una buena tasa de traducción con la menor cantidad posible de frases. ABSTRACT The main contribution of this thesis has been the proposal and evaluation of an automatic translation system for improving the communication between hearing and deaf people. This system is made up of two systems: a Spanish into Spanish Sign Language (LSE – Lengua de Signos Española) translator and a Spanish generator from LSE sign sequences. The first one consists of a speech recognizer, a language translation module and an avatar that represents the sign sequence. The second one is made up an interface for specifying the sign sequence, a language translation module and a text-to-speech conversor. For the translation system development, firstly, a parallel corpus has been generated with 7,696 Spanish sentences and their LSE translations. These sentences are related to four different application domains: the renewal of the Identity Document, the renewal of the driver license, a bus information service and a hotel reception. Moreover, a sign database has been generated with more than 1,000 signs described in four different signwriting systems. Secondly, it has been developed an automatic translation module that integrates two translation techniques in a hierarchical structure: the first one is a memory-based technique and the second one is statistical. Furthermore, a pre processing module for the Spanish sentences has been implemented. By incorporating this pre processing module into the statistical translation module, the accuracy of the translation module improves significantly. In this thesis, the LSE into speech translation interface has been improved. On the one hand, new characteristics that improve its usability have been incorporated and, on the other hand, a SMS language into Spanish translator has been integrated, that lets specifying in SMS language the sequence to translate, besides by specifying a sign sequence. The proposed translation system has been evaluated in two application domains: a bus information service of the Empresa Municipal de Transportes of Madrid and the Hotel Intur Palacio San Martín reception. This evaluation has involved both deaf people and services employees. Objective measurements (given automatically by the system) and subjective measurements (given by user questionnaires) were extracted during the evaluation. Results have been very positive, thanks to the user opinions during the evaluation that validated the system performance and gave important information for future work. Finally, after the integration of each module of the two translation systems (speech- LSE and LSE-speech), obtaining the evaluation results and considering the experience throughout the process, a methodology for developing speech into sign language (and vice versa) into a new domain has been proposed in this thesis. This methodology includes the steps to follow for developing the translation system in a new application domain. Moreover, this methodology proposes the way to improve the flexibility of each system module, so that the adaptation of the system to a new application domain can be easier. On the other hand, some techniques are analyzed for selecting the out-of-domain parallel corpus sentences in order to train the translation module in a new domain; as well as techniques for selecting which in-domain sentences are more interesting for translating them (by LSE experts) in order to train the translation model.

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A methodology for developing an advanced communications system for the Deaf in a new domain is presented in this paper. This methodology is a user-centred design approach consisting of four main steps: requirement analysis, parallel corpus generation, technology adaptation to the new domain, and finally, system evaluation. During the requirement analysis, both the user and technical requirements are evaluated and defined. For generating the parallel corpus, it is necessary to collect Spanish sentences in the new domain and translate them into LSE (Lengua de Signos Española: Spanish Sign Language). LSE is represented by glosses and using video recordings. This corpus is used for training the two main modules of the advanced communications system to the new domain: the spoken Spanish into the LSE translation module and the Spanish generation from the LSE module. The main aspects to be generated are the vocabularies for both languages (Spanish words and signs), and the knowledge for translating in both directions. Finally, the field evaluation is carried out with deaf people using the advanced communications system to interact with hearing people in several scenarios. In this evaluation, the paper proposes several objective and subjective measurements for evaluating the performance. In this paper, the new considered domain is about dialogues in a hotel reception. Using this methodology, the system was developed in several months, obtaining very good performance: good translation rates (10% Sign Error Rate) with small processing times, allowing face-to-face dialogues.

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This article briefly reviews multilingual language resources for Bulgarian, developed in the frame of some international projects: the first-ever annotated Bulgarian MTE digital lexical resources, Bulgarian-Polish corpus, Bulgarian-Slovak parallel and aligned corpus, and Bulgarian-Polish-Lithuanian corpus. These resources are valuable multilingual dataset for language engineering research and development for Bulgarian language. The multilingual corpora are large repositories of language data with an important role in preserving and supporting the world's cultural heritage, because the natural language is an outstanding part of the human cultural values and collective memory, and a bridge between cultures.

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The paper describes three software packages - the main components of a software system for processing and web-presentation of Bulgarian language resources – parallel corpora and bilingual dictionaries. The author briefly presents current versions of the core components “Dictionary” and “Corpus” as well as the recently developed component “Connection” that links both “Dictionary” and “Corpus”. The components main functionalities are described as well. Some examples of the usage of the system’s web-applications are included.

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Este artículo sugiere un enfoque nuevo a la enseñanza de las dos estructuras gramaticales la pasiva refleja y el “se” impersonal para las clases universitarias de E/LE. Concretamente, se argumenta que las dos se deberían tratar como construcciones pasivas, basada en un análisis léxico-funcional de ellas que enfoca la lingüística contrastiva. Incluso para la instrucción de E/LE, se recomienda una aproximación contrastiva en la que se enfocan tanto la reflexión metalingüística como la competencia del estudiante en el L2. Específicamente, el uso de córpora lingüísticos en la clase forma una parte integral de la instrucción. El uso de un corpus estimula la curiosidad del estudiante, le expone a material de lengua auténtica, y promulga la reflexión inductiva independiente.

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Ce mémoire propose une analyse sémio-narrative d’un corpus de dix-neuf contes merveilleux recueillis auprès des conteurs canadiens-français et canadiens-hurons par l’anthropologue Charles-Marius Barbeau, au début du XXe siècle. Après avoir passé en revue les principales théories dans l’approche sémiotique du conte à partir de Vladimir Propp jusqu’à nos jours, nous avons procédé à une étude narrative du corpus selon la méthode du grand folkloriste russe : cela nous a permis d’en montrer la valeur exceptionnelle mais aussi les limites. Nous avons constaté ainsi que le travail sur un corpus inédit peut mener à l’identification de nouveaux éléments dans la structure du conte merveilleux. En poursuivant nos recherches sur les dix-neuf contes recueillis par Barbeau, nous sommes passée du schéma linéaire, syntagmatique de Propp aux modèles logiques de ses continuateurs, particulièrement celui élaboré par Guy Laflèche. Nos analyses ont mis en évidence non seulement le fait que la structure en miroir est un modèle valide auquel une partie des contes merveilleux se plie parfaitement (d’emblée l’exclusivité du schéma de Propp est mise en question, sinon infirmée), mais aussi que tout conte merveilleux est exceptionnellement organisé, structuré (ce qui confirme la théorie de Claude Bremond conformément à laquelle le récit narratif est une alternance de dégradations et d’améliorations). Enfin, la dernière partie du mémoire est une analyse sémio-discursive de notre corpus qui, au lieu d’être une simple accumulation de listes de mots, d’expressions et de figures, tente d’aborder la structure idéologique, grâce à une étude en parallèle d’un conte du corpus et de deux versions littéraires.

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La traduction statistique requiert des corpus parallèles en grande quantité. L’obtention de tels corpus passe par l’alignement automatique au niveau des phrases. L’alignement des corpus parallèles a reçu beaucoup d’attention dans les années quatre vingt et cette étape est considérée comme résolue par la communauté. Nous montrons dans notre mémoire que ce n’est pas le cas et proposons un nouvel aligneur que nous comparons à des algorithmes à l’état de l’art. Notre aligneur est simple, rapide et permet d’aligner une très grande quantité de données. Il produit des résultats souvent meilleurs que ceux produits par les aligneurs les plus élaborés. Nous analysons la robustesse de notre aligneur en fonction du genre des textes à aligner et du bruit qu’ils contiennent. Pour cela, nos expériences se décomposent en deux grandes parties. Dans la première partie, nous travaillons sur le corpus BAF où nous mesurons la qualité d’alignement produit en fonction du bruit qui atteint les 60%. Dans la deuxième partie, nous travaillons sur le corpus EuroParl où nous revisitons la procédure d’alignement avec laquelle le corpus Europarl a été préparé et montrons que de meilleures performances au niveau des systèmes de traduction statistique peuvent être obtenues en utilisant notre aligneur.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)