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Machine Translation of Spoken English into Czech
Cífka, Ondřej ; Bojar, Ondřej (advisor) ; Helcl, Jindřich (referee)
Spoken language translation, the process of translating speech in one language into another language automatically, is in increasing demand as a means of overcoming the language barrier. In this thesis, we focus on translation of spoken English into Czech, employed as an aid for international tourists. We built a fully functional speech translation system using freely available components and used it for collecting samples of user input. We then focused on replacing the core components of the system, namely speech recognition (ASR) and machine translation (MT), with our own, domain-adapted models. We evaluated our improvements on the collected data. Powered by TCPDF (www.tcpdf.org)
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Spojité reprezentace vět v neuronovém strojovém překladu
Cífka, Ondřej ; Bojar, Ondřej (advisor) ; Rosa, Rudolf (referee)
Recent advances in natural language processing using neural networks have given rise to numerous methods of obtaining continuous-space vector representations of textual data that can be exploited for various applications. One of these methods is to use internal representations learned by neural machine translation (NMT) models. However, the attention mechanism in modern NMT systems removes the single point in the neural network from which the source sentence representation can be extracted. In this thesis, we propose and empirically evaluate novel ways to remove this limitation. We review existing methods of obtaining sentence representations and evaluating them, and present novel intrinsic evaluation metrics. Next, we describe our modifications to attention-based NMT architectures that allow extracting sentence representations. In the experimental section, we analyze these representations and evaluate them using a wide range of metrics with a focus on meaning representation. The results suggest that the better the translation quality, the worse the performance on these tasks. We also observe no performance gains from using multi-task training to control the representations.
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Machine Translation of Spoken English into Czech
Cífka, Ondřej ; Bojar, Ondřej (advisor) ; Helcl, Jindřich (referee)
Spoken language translation, the process of translating speech in one language into another language automatically, is in increasing demand as a means of overcoming the language barrier. In this thesis, we focus on translation of spoken English into Czech, employed as an aid for international tourists. We built a fully functional speech translation system using freely available components and used it for collecting samples of user input. We then focused on replacing the core components of the system, namely speech recognition (ASR) and machine translation (MT), with our own, domain-adapted models. We evaluated our improvements on the collected data. Powered by TCPDF (www.tcpdf.org)
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