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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 33 1 Phrase table expansion for statistical machine translation with reduced parallel corpora: the Chinese-Spanish case Han, Jingyi. - : Universitat Pompeu Fabra, 2017 In: TDX (Tesis Doctorals en Xarxa) (2017) Abstract: Parallel data scarcity problem is a major challenge faced by Statistical Machine Translation (SMT). The aim of this thesis is to enrich a SMT system by adding more morphological variants and new translation lexicon automatically generated out of monolingual data. To induce bilingual lexicon, instead of taking advantages of comparable corpora or parallel data, we proposed a supervised classifier trained using monolingual features (e.g. word embedding vectors, plus Brown clustering or word frequency information) of only a small amount of translation equivalent word pairs. The classifier is able to predict whether a new word pair is under a translation relation or not. Our experiments of SMT phrase table expansion were conducted on Chinese and Spanish, since we realised that although they are two of the most widely spoken languages of the world, this language pair is suffering from a data scarcity situation. In addition to the problems caused by the words that are not included in the training corpus, the inflection differences between this language pair make the translation even more challenging when only limited parallel data are available. The obtained results demonstrate that, on the one hand, with the method of morphology expansion, the SMT system achieves an improvement of up to + 0.61 BLEU compared to the results of a low resource Chinese-Spanish phrase-based SMT baseline. On the other hand, our supervised classifier reaches a 0.94 F1-score and the SMT experiment results show an improvement of up to +0.70 BLEU with the resulting bilingual lexicon, demonstrating that the errors of the classifier are ultimately controlled by the SMT system. ; La escasez de datos paralelos es un problema importante para la Traducción Automática Estadística (TAE). El objetivo de esta tesis es enriquecer un sistema de TAE añadiendo más variantes morfológicas y un nuevo léxico de traducción generado automáticamente desde datos monolingües. Para inducir el léxico bilingüe, en lugar de depender de corpus comparables o de datos paralelos, proponemos un clasificador supervisado entrenado con representaciones monolingües (por ejemplo, vectores distribuidos, agrupaciones de Brown e información de la frecuencia de palabras) de sólo una pequeña cantidad de traducciones. El clasificador es capaz de predecir si un nuevo par de palabras es una traducción la una de la otra, o no. Realizamos los experimentos para enriquecer el sistema de TAE con chino y español, porque a pesar de que estas lenguas son dos de las más habladas del mundo, este par de idiomas sufre de escasez de datos paralelos. Además de los problemas causados por las palabras que no están incluidas en el corpus de entrenamiento, las diferencias de flexión morfológica entre este par de idiomas hace que la traducción sea de peor calidad cuando se dispone de pocos recursos paralelos. Los resultados obtenidos demuestran que, por un lado, con el método de expansión morfológica, el sistema de TAE logra una mejora de hasta + 0,61 BLEU en comparación con los resultados obtenidos con un sistema básico chino-español con poco corpus. Por otro lado, nuestro clasificador supervisado, que alcanza una F1 de 0,94, proporciona nuevos pares de traducción que resultan en una mejora de hasta +0,70 BLEU con respecto al sistema básico, demostrando que los errores del clasificador son, en último término, controlados por el sistema de TAE. Keyword: 81; Aprendizaje automático; Bilingual lexicon induction; Expansión de vocabulario; Inducción de léxicos bilingües; Machine learning; Natural language processing; Phrase table expansion; Procesamiento del lenguaje natural; Statistical Machine translation; Traducción automática URL: http://hdl.handle.net/10803/458530 BASE Hide details 2 Towards the automatic classification of complex-type nominals Romeo, Lauren; Mendes, Sara; Bel Rafecas, Núria. - : ACL (Association for Computational Linguistics) BASE Show details 3 First version (v1) of the integrated platform/nand documentation Poch, Marc; Hamon, Olivier; Thurmair, Gregor. BASE Show details 4 A Classification of Adjectives for Polarity Lexicons Enhancement Vázquez, Silvia; Bel Rafecas, Núria. - : ELRA (European Language Resources Association) BASE Show details 5 Criteria for evaluation of resources, technology and integration Caselli, Tommaso; Quochi, Valeria; Arranz, Victoria. BASE Show details 6 PANACEA: The Platform Bel Rafecas, Núria; Poch, Marc BASE Show details 7 Third evaluation report. Evaluation of PANACEA v3 and produced resources Quochi, Valeria; Frontini, Francesca; Bartolini, Roberto. BASE Show details 8 Architecture and design of the platform Poch, Marc; Prokopidis, Prokopis; Thurmair, Gregor. BASE Show details 9 Integrated Final Version of the Components for Lexical Acquisition Rimell, Laura; Bel Rafecas, Núria; Padró, Muntsa. BASE Show details 10 [PANACEA] Project final report Bel Rafecas, Núria BASE Show details 11 User’s Workshop: Technology transfer, papers produced and/ndissemination materials Arranz, Victoria; Hamon, Olivier; Mazo, Hélene. BASE Show details 12 Travelling Object definition for multilevel lexicon in PANACEA platform Rimell, Laura; Bel Rafecas, Núria; Padró, Muntsa. BASE Show details 13 PANACEA, Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies Bel Rafecas, Núria BASE Show details 14 Monolingual corpus acquired in five languages and two domains Papavassiliou, Vassilis; Prokopidis, Prokopis; Toral, Antonio. BASE Show details 15 Platform Software, Project Tools + Resources Licensing Policy and Exploitation Plan Arranz, Victoria; Choukri, Khalid; Hamon, Olivier. BASE Show details 16 Technologies and tools for corpus creation, normalization and annotation Prokopidis, Prokopis; Papavassiliou, Vassilis; Pecina, Pavel. BASE Show details 17 PANACEA: PAROLE Association Workshop 18/19 Octobre 2012 Bel Rafecas, Núria BASE Show details 18 PANACEA: Language Resource Factory. Data Available for free! Bel Rafecas, Núria BASE Show details 19 A Web Service-Based Platform for the Automatic Production of Language Resources Bel Rafecas, Núria; Poch, Marc BASE Show details 20 Third version (v4) of the integrated platform and documentation Poch, Marc; Hamon, Olivier; Quochi, Valeria. BASE Show details Page: 1 2

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