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检索条件"机构=Pattern Recognition and Human Language Technology"
382 条 记 录,以下是281-290 订阅
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Document-Level language Models for Machine Translation
arXiv
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arXiv 2023年
作者: Petrick, Frithjof Herold, Christian Petrushkov, Pavel Khadivi, Shahram Ney, Hermann eBay Inc. Aachen Germany Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
Despite the known limitations, most machine translation systems today still operate on the sentence-level. One reason for this is, that most parallel training data is only sentence-level aligned, without document-leve... 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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International Conference on pattern recognition
作者: Thomas Deselaers Lexi Pimenidis Hermann Ney Human Language Technology and Pattern Recognition Security and Privacy Research Computer Science Department 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
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Improving Long Context Document-Level Machine Translation
arXiv
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arXiv 2023年
作者: Herold, Christian Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Document-level context for neural machine translation (NMT) is crucial to improve the translation consistency and cohesion, the translation of ambiguous inputs, as well as several other linguistic phenomena. Many work... 详细信息
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On the alignment problem in multi-head attention-based neural machine translation
arXiv
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arXiv 2018年
作者: Alkhouli, Tamer Bretschner, Gabriel Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This work investigates the alignment problem in state-of-the-art multi-head attention models based on the transformer architecture. We demonstrate that alignment extraction in transformer models can be improved by aug... 详细信息
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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
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Online Learning for Neural Machine Translation Post-editing
arXiv
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arXiv 2017年
作者: Peris, Álvaro Cebrián, Luis Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
Neural machine translation has meant a revolution of the field. Nevertheless, post-editing the outputs of the system is mandatory for tasks requiring high translation quality. Post-editing offers a unique opportunity ... 详细信息
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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
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A comparison of sequence-trained deep neural networks and recurrent neural networks optical modeling for handwriting recognition
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8791卷 199-219页
作者: Bluche, Théodore Ney, Hermann Kermorvant, Christopher A2iA SA Paris France Spoken Language Processing Group LIMSI CNRS Orsay France Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany
Long Short-Term Memory Recurrent Neural Networks are the current state-of-the-art in handwriting recognition. In speech recognition, Deep Multi-Layer Perceptrons (DeepMLPs) have become the standard acoustic model for ... 详细信息
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A study of latent monotonic attention variants
arXiv
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arXiv 2021年
作者: Zeyer, Albert Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany AppTek GmbH Aachen Germany
End-to-end models reach state-of-the-art performance for speech recognition, but global soft attention is not monotonic, which might lead to convergence problems, to instability, to bad generalisation, cannot be used ... 详细信息
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Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss
Robust Knowledge Distillation from RNN-T Models with Noisy T...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Mohammad Zeineldeen Kartik Audhkhasi Murali Karthick Baskar Bhuvana Ramabhadran Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany Google LLC New York
This work studies knowledge distillation (KD) and addresses its constraints for recurrent neural network transducer (RNN-T) models. In hard distillation, a teacher model transcribes large amounts of unlabelled speech ... 详细信息
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