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检索条件"机构=Pattern Recognition and Human Language"
401 条 记 录,以下是131-140 订阅
排序:
A neural, interactive-predictive system for multimodal sequence to sequence tasks
arXiv
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arXiv 2019年
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
We present a demonstration of a neural interactive-predictive system for tackling multimodal sequence to sequence tasks. The system generates text predictions to different sequence to sequence tasks: machine translati... 详细信息
来源: 评论
uniblock: Scoring and Filtering Corpus with Unicode Block Information
arXiv
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arXiv 2019年
作者: Gao, Yingbo Wang, Weiyue Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
The preprocessing pipelines in Natural language Processing usually involve a step of removing sentences consisted of illegal characters. The definition of illegal characters and the specific removal strategy depend on... 详细信息
来源: 评论
Exploring Kernel functions in the softmax layer for contextual word classification
arXiv
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arXiv 2019年
作者: Gao, Yingbo Herold, Christian Wang, Weiyue Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Prominently used in support vector machines and logistic regressions, kernel functions (kernels) can implicitly map data points into high dimensional spaces and make it easier to learn complex decision boundaries. In ... 详细信息
来源: 评论
Interactive-predictive neural multimodal systems?
arXiv
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arXiv 2019年
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
Despite the advances achieved by neural models in sequence to sequence learning, exploited in a variety of tasks, they still make errors. In many use cases, these are corrected by a human expert in a posterior revisio... 详细信息
来源: 评论
The Vicomtech-PRHLT Speech Transcription Systems for the IberSPEECH-RTVE 2018 Speech to Text Transcription Challenge  4
The Vicomtech-PRHLT Speech Transcription Systems for the Ibe...
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4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Arzelus, Haritz Álvarez, Aitor Bernath, Conrad García, Eneritz Granell, Emilio Martínez-Hinarejos, Carlos D. Vicomtech Human Speech and Language Technology Group Spain Pattern Recognition and Human Language Technologies Research Center Universitat Politècnica de València Spain
This paper describes our joint submission to the IberSPEECH-RTVE Speech to Text Transcription Challenge 2018, which calls for automatic speech transcription systems to be evaluated in realistic TV shows. With the aim ... 详细信息
来源: 评论
Exploring E2E speech recognition systems for new languages  4
Exploring E2E speech recognition systems for new languages
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4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Bernath, Conrad Álvarez, Aitor Arzelus, Haritz Martínez-Hinarejos, Carlos-D. Human Speech and Language Technology Group Vicomtech Spain Pattern Recognition and Human Language Technologies Research Center Universitat Politècnica de València Spain
Over the last few years, advances in both machine learning algorithms and computer hardware have led to significant improvements in speech recognition technology, mainly through the use of Deep Learning paradigms. As ... 详细信息
来源: 评论
Generative models for deep learning with very scarce data
arXiv
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arXiv 2019年
作者: Maroñas, Juan Paredes, Roberto Ramos, Daniel Pattern Recognition and Human Language Technology Universitat Politecnica de Valencia Valencia Spain AUDIAS Universidad Autonoma de Madrid Madrid Spain
The goal of this paper is to deal with a data scarcity scenario where deep learning techniques use to fail. We compare the use of two well established techniques, Restricted Boltzmann Machines and Variational Auto-enc... 详细信息
来源: 评论
Are automatic metrics robust and reliable in specific machine translation tasks?  21
Are automatic metrics robust and reliable in specific machin...
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21st Annual Conference of the European Association for Machine Translation, EAMT 2018
作者: Chinea-Rios, Mara Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
We present a comparison of automatic metrics against human evaluations of translation quality in several scenarios which were unexplored up to now. Our experimentation was conducted on translation hypotheses that were... 详细信息
来源: 评论
Analysis of deep clustering as preprocessing for automatic speech recognition of sparsely overlapping speech
arXiv
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arXiv 2019年
作者: Menne, Tobias Sklyar, Ilya Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
Significant performance degradation of automatic speech recognition (ASR) systems is observed when the audio signal contains cross-talk. One of the recently proposed approaches to solve the problem of multi-speaker AS... 详细信息
来源: 评论
Active learning for interactive neural machine translation of data streams  22
Active learning for interactive neural machine translation o...
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22nd Conference on Computational Natural language Learning, CoNLL 2018
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
We study the application of active learning techniques to the translation of unbounded data streams via interactive neural machine translation. The main idea is to select, from an unbounded stream of source sentences,... 详细信息
来源: 评论