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检索条件"机构=Human Language Technology and Pattern Recognition Group Computer Science Department"
238 条 记 录,以下是1-10 订阅
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The Conformer Encoder May Reverse the Time Dimension
The Conformer Encoder May Reverse the Time Dimension
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Robin Schmitt Albert Zeyer Mohammad Zeineldeen Ralf Schlűter Hermann Ney Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany AppTek GmbH Aachen Germany
We sometimes observe monotonically decreasing cross-attention weights in our Conformer-based global attention-based encoder-decoder (AED) models, negatively affecting performance compared to monotonically increasing a... 详细信息
来源: 评论
From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education
arXiv
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arXiv 2025年
作者: Zhang, Yi-Fan Li, Hang Song, Dingjie Sun, Lichao Xu, Tianlong Wen, Qingsong National Laboratory of Pattern Recognition University of Chinese Academy of Sciences China Computer Science department from Michigan State University United States CUHK-Shenzhen Natural Language Processing group China Computer Science and Engineering Lehigh University United States Squirrel Ai Learning group
Large language Models (LLMs), such as GPT-4, have demonstrated impressive mathematical reasoning capabilities, achieving near-perfect performance on benchmarks like GSM8K. However, their application in personalized ed... 详细信息
来源: 评论
Classification Error Bound for Low Bayes Error Conditions in Machine Learning
arXiv
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arXiv 2025年
作者: Yang, Zijian Eminyan, Vahe Schlüter, Ralf Ney, Hermann Machine Learning and Human Language Technology Group Lehrstuhl Informatik 6 Computer Science Department RWTH Aachen University Germany AppTek GmbH Germany
In statistical classification and machine learning, classification error is an important performance measure, which is minimized by the Bayes decision rule. In practice, the unknown true distribution is usually replac... 详细信息
来源: 评论
Classification Error Bound for Low Bayes Error Conditions in Machine Learning
Classification Error Bound for Low Bayes Error Conditions in...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Zijian Yang Vahe Eminyan Ralf Schlüter Hermann Ney Computer Science Department Machine Learning and Human Language Technology Group Lehrstuhl Informatik 6 RWTH Aachen University Germany AppTek GmbH Germany
In statistical classification and machine learning, classification error is an important performance measure, which is minimized by the Bayes decision rule. In practice, the unknown true distribution is usually replac... 详细信息
来源: 评论
Transformer-based direct hidden Markov model for machine translation  59
Transformer-based direct hidden Markov model for machine tra...
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2021 Student Research Workshop, SRW 2021 at the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural language Processing, ACL-IJCNLP 2021
作者: Wang, Weiyue Yang, Zijian Gao, Yingbo Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Germany
The neural hidden Markov model has been proposed as an alternative to attention mechanism in machine translation with recurrent neural networks. However, since the introduction of the transformer models, its performan... 详细信息
来源: 评论
Extending statistical machine translation with discriminative and trigger-based lexicon models
Extending statistical machine translation with discriminativ...
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2009 Conference on Empirical Methods in Natural language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009
作者: Mauser, Arne Hasan, SǍa Ney, Hermann Human Language Technology and Pattern Recognition Group Department of Computer Science 6 RWTH Aachen University Germany
In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to predict the target words and a trigger... 详细信息
来源: 评论
The RWTH Aachen Speech recognition and Machine Translation System for IWSLT 2012  9
The RWTH Aachen Speech Recognition and Machine Translation S...
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9th International Workshop on Spoken language Translation, IWSLT 2012
作者: Peitz, Stephan Mansour, Saab Freitag, Markus Feng, Minwei Huck, Matthias Wuebker, Joern Nuhn, Malte Nußbaum-Thom, Markus Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen Germany
In this paper, the automatic speech recognition (ASR) and statistical machine translation (SMT) systems of RWTH Aachen University developed for the evaluation campaign of the International Workshop on Spoken language ... 详细信息
来源: 评论
The RWTH Aachen Machine Translation System for IWSLT 2011  8
The RWTH Aachen Machine Translation System for IWSLT 2011
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8th International Workshop on Spoken language Translation, IWSLT 2011
作者: Wuebker, Joern Huck, Matthias Mansour, Saab Freitag, Markus Feng, Minwei Peitz, Stephan Schmidt, Christoph Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen Germany
In this paper the statistical machine translation (SMT) systems of RWTH Aachen University developed for the evaluation campaign of the International Workshop on Spoken language Translation (IWSLT) 2011 is presented. W... 详细信息
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Sequence Labeling-based Reordering Model for Phrase-based SMT  9
Sequence Labeling-based Reordering Model for Phrase-based SM...
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9th International Workshop on Spoken language Translation, IWSLT 2012
作者: Feng, Minwei Peter, Jan-Thorsten Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen Germany
For current statistical machine translation system, reordering is still a major problem for language pairs like Chinese-English, where the source and target language have significant word order differences. In this pa... 详细信息
来源: 评论
Improving Continuous Sign language recognition: Speech recognition Techniques and System Design  4
Improving Continuous Sign Language Recognition: Speech Recog...
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4th Workshop on Speech and language Processing for Assistive Technologies, SLPAT 2013
作者: Forster, Jens Koller, Oscar Oberdorfer, Christian Gweth, Yannick Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen Germany
Automatic sign language recognition (ASLR) is a special case of automatic speech recognition (ASR) and computer vision (CV) and is currently evolving from using artificial labgenerated data to using 'real-life'... 详细信息
来源: 评论