Exploració per autor "Rodríguez Fonollosa, José Adrián"
Ara es mostren els items 34-53 de 128
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Character-based neural machine translation
(2016)
Comunicació de congrés
Accés obertNeural Machine Translation (MT) has reached state-of-the-art results. However, one of the main challenges that neural MT still faces is dealing with very large vocabularies and morphologically rich languages. In this paper, ... -
Character-level intra attention networks for natural language inference
(2017)
Comunicació de congrés
Accés obertNatural language inference (NLI) is a central problem in language understand- ing. End-to-end artificial neural networks have reached state-of-the-art performance in NLI field recently. In this paper, we propose Character- ... -
Chinese-Catalan: A neural machine translation approach based on pivoting and attention mechanisms
(2019-01-01)
Article
Accés obertThis article innovatively addresses machine translation from Chinese to Catalan using neural pivot strategies trained without any direct parallel data. The Catalan language is very similar to Spanish from a linguistic point ... -
Chinese–Spanish neural machine translation enhanced with character and word bitmap fonts
(2017-04-06)
Article
Accés obertRecently, machine translation systems based on neural networks have reached state-of-the-art results for some pairs of languages (e.g., German–English). In this paper, we are investigating the performance of neural machine ... -
Codificación de voz multipulso en tiempo real según recomendación GSM 6.10
(Universidad de las Palmas de Gran Canaria, 1994)
Comunicació de congrés
Accés obert -
Combining Length restrictions and N-Best Techniques in multiple-pas search strategies
(G. Olaszy, G. Németh, K. Erdohegyi, 1999)
Text en actes de congrés
Accés obert -
Combining phrase and neural-based machine translation: what worked and did not
(2017)
Article
Accés restringit per política de l'editorialPhrase-based machine translation assumes that all words are at the same distance and translates them using feature functions that approximate the probability at different levels. On the other hand, neural machine translation ... -
Combining subword representations into word-level representations in the transformer architecture
(Association for Computational Linguistics, 2020)
Comunicació de congrés
Accés obertIn Neural Machine Translation, using word-level tokens leads to degradation in translation quality. The dominant approaches use subword-level tokens, but this increases the length of the sequences and makes it difficult ... -
Conditional distribution variability measures for causality detection
(Springer, 2019)
Capítol de llibre
Accés restringit per política de l'editorialIn this paper we derive variability measures for the conditional probability distributions of a pair of random variables, and we study its application in the inference of causal-effect relationships. We also study the ... -
Correcting input noise in SMT as a char-based translation problem
(2012-10-31)
Report de recerca
Accés obertMisspelled words have a direct impact on the final quality obtained by Statistical Machine Translation (SMT) systems as the input becomes noisy and unpredictable. This paper presents some improvement strategies for translating ... -
Coupling hierarchical word reordering and decoding in phrase-based statistical machine translation
(2009-06)
Comunicació de congrés
Accés obertIn this paper, we start with the existing idea of taking reordering rules automatically derived from syntactic representations, and applying them in a preprocessing step before translation to make the source sentence ... -
Cuantificación vectorial adaptativa de la voz
(1989)
Text en actes de congrés
Accés obertVector quantization (VQ) is a simultaneous quantization of a sequence of samples or vector. This process allows to malee effective use of the interrelations among the different vector components and performance arbitrarily ... -
Cuantificación vectorial en codificación de voz por excitación multipulso
(1991)
Text en actes de congrés
Accés obertIn this paper is made a comparison between sorne quantizers applied in a Multipulse Speech coder. Vector quantizer is compared against scalar quantization in the LPC parameter in the short predictor. Adaptive Multistage ... -
Dealing with input noise in statistical machine translation
(2012)
Comunicació de congrés
Accés obertMisspelled words have a direct impact on the final quality obtained by Statistical Machine Translation (SMT) systems as the input becomes noisy and unpredictable. This paper presents some improvement strategies for ... -
DeepVoice: tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio
(2017-09-01)
Article
Accés obertThis project proposes the development of new deep learning methods for speech and audio processing, exploring new applications and continuing the initial work of the research team and the international community. Research ... -
DeepVoice: tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio
(2017-09-22)
Article
Accés obertEste proyecto propone el desarrollo de nuevas arquitecturas para el procesado de la voz y el audio mediante métodos de aprendizaje profundo, explorando también nuevas aplicaciones y dando continuidad al trabajo inicial del ... -
Determining CPU and memory requirements for real-time speech recognition systems using the TMS320C3x/C4x
(Texas Instruments (TI), 1996)
Text en actes de congrés
Accés restringit per política de l'editorialDeveloping a computer system using real-time speech recognition previously required a workstation using non-specialized CPUs. Limits to the system were imposed by the amount of memory and hardware required. The Texas ... -
End-to-end speech translation with pre-trained models and adapters: UPC at IWSLT 2021
(Association for Computational Linguistics, 2021)
Text en actes de congrés
Accés obertThis paper describes the submission to the IWSLT 2021 offline speech translation task by the UPC Machine Translation group. The task consists of building a system capable of translating English audio recordings extracted ... -
End-to-end speech translation with the transformer
(Antonio Bonafonte, Jordi Luque and Francesc Alías Pujol, 2018)
Comunicació de congrés
Accés restringit per política de l'editorialSpeech Translation has been traditionally addressed with the concatenation of two tasks: Speech Recognition and Machine Translation. This approach has the main drawback that errors are concatenated. Recently, neural ... -
English-Latvian SMT: the challenge of translating into a free word order language
(2010)
Comunicació de congrés
Accés obertThis paper presents a comparative study of two approaches to statistical machine translation (SMT) and their application to a task of English-to-Latvian translation, which is still an open research line in the field of ...
