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检索条件"机构=Human Language Technology and Pattern Recognition Group"
397 条 记 录,以下是181-190 订阅
排序:
Effective cross-lingual transfer of neural machine translation models without shared vocabularies
arXiv
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arXiv 2019年
作者: Kim, Yunsu Gao, Yingbo Ney, Hermann Human Language Technology and Pattern Recognition Group Rwth Aachen University Aachen Germany
Transfer learning or multilingual model is essential for low-resource neural machine translation (NMT), but the applicability is limited to cognate languages by sharing their vocabularies. This paper shows effective t... 详细信息
来源: 评论
Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions  40
Unsupervised adaptation of a denoising autoencoder by Bayesi...
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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
作者: Heymann, Jahn Haeb-Umbach, Reinhold Golik, Pavel Schluter, Ralf University of Paderborn Department of Communications Engineering Paderborn Germany RWTH Aachen University Human Language Technology and Pattern Recognition Computer Science Department Aachen Aachen Germany
The parametric Bayesian Feature Enhancement (BFE) and a datadriven Denoising Autoencoder (DA) both bring performance gains in severe single-channel speech recognition conditions. The first can be adjusted to different... 详细信息
来源: 评论
Bag-of-visual-words models for adult image classification and filtering
Bag-of-visual-words models for adult image classification an...
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作者: Deselaers, Thomas Pimenidis, Lexi Ney, Hermann Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany Security and Privacy Research RWTH Aachen University Aachen Germany
We present a method to classify images into different categories of pornographic content to create a system for filtering pornographic images from network traffic. Although different systems for this application were ... 详细信息
来源: 评论
Conditional leaving-one-out and cross-validation for discount estimation in Kneser-Ney-like extensions
Conditional leaving-one-out and cross-validation for discoun...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: J. Andrés-Ferrer M. Sundermeyer H. Ney Pattern Recognition and Human Language Technology Universidad Politécnica de Valencia Spain Human Language Technology and Pattern Recognition RWTH Aachen University Germany
The smoothing of n-gram models is a core technique in language modelling (LM). Modified Kneser-Ney (mKN) ranges among one of the best smoothing techniques. This technique discounts a fixed quantity from the observed c... 详细信息
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Towards reinforcement learning for pivot-based neural machine translation with non-autoregressive transformer
arXiv
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arXiv 2021年
作者: Tokarchuk, Evgeniia Rosendahl, Jan Wang, Weiyue Petrushkov, Pavel Lancewicki, Tomer Khadivi, Shahram Ney, Hermann eBay Inc Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany
Pivot-based neural machine translation (NMT) is commonly used in low-resource setups, especially for translation between non-English language pairs. It benefits from using high-resource source→pivot and pivot→target... 详细信息
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Investigations on hessian-free optimization for cross-entropy training of deep neural networks
Investigations on hessian-free optimization for cross-entrop...
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14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013
作者: Wiesler, Simon Li, Jinyu Xue, Jian Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University 52056 Aachen Germany Microsoft Corporation Redmond WA 98052 United States
Context-dependent deep neural network HMMs have been shown to achieve recognition accuracy superior to Gaussian mixture models in a number of recent works. Typically, neural networks are optimized with stochastic grad... 详细信息
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White-space models for offline Arabic handwriting recognition
White-space models for offline Arabic handwriting recognitio...
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International Conference on pattern recognition
作者: Philippe Dreuw Stephan Jonas Hermann Ney Human Language Technology and Pattern Recognition RWTH Aachen University
We propose to explicitly model white-spaces for Arabic handwriting recognition within different writing variants. Position-dependent character shapes in Arabic handwriting allow for large white-spaces between characte... 详细信息
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Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing  4
Advances on the Transcription of Historical Manuscripts base...
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4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Granell, Emilio Martínez-Hinarejos, Carlos-D. Romero, Verónica Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Camí de Vera s/n València46022 Spain
The transcription of digitalised documents is useful to ease the digital access to their contents. Natural language technologies, such as Automatic Speech recognition (ASR) for speech audio signals and Handwritten Tex... 详细信息
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Improving Transcription of Manuscripts with Multimodality and Interaction  4
Improving Transcription of Manuscripts with Multimodality an...
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4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Granell, Emilio Martínez-Hinarejos, Carlos-D. Romero, Verónica Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Camí de Vera s/n València46022 Spain
State-of-the-art Natural language recognition systems allow transcribers to speed-up the transcription of audio, video or image documents. These systems provide transcribers an initial draft transcription that can be ... 详细信息
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Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model
Controllable Factuality in Document-Grounded Dialog Systems ...
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2022 Findings of the Association for Computational Linguistics: EMNLP 2022
作者: Daheim, Nico Thulke, David Dugast, Christian Ney, Hermann Ubiquitous Knowledge Processing Lab Department of Computer Science Technical University of Darmstadt Germany Human Language Technology and Pattern Recognition RWTH Aachen University Germany AppTek GmbH
In this work, we present a model for document-grounded response generation in dialog that is decomposed into two components according to Bayes' theorem. One component is a traditional ungrounded response generatio... 详细信息
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