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检索条件"机构=Pattern Recognition and Human Language Technology"
382 条 记 录,以下是291-300 订阅
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Leave-One-Out Phrase Model Training for Large-Scale Deployment  12
Leave-One-Out Phrase Model Training for Large-Scale Deployme...
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Workshop on Statistical Machine Translation
作者: Joern Wuebker Mei-Yuh Hwang Chris Quirk Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany Microsoft Corporation Redmond WA USA
Training the phrase table by force-aligning (FA) the training data with the reference translation has been shown to improve the phrasal translation quality while significantly reducing the phrase table size on medium ... 详细信息
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Performance analysis of Neural Networks in combination with n-gram language models
Performance analysis of Neural Networks in combination with ...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Ilya Oparin Martin Sundermeyer Hermann Ney Jean-Luc Gauvain LIMSI CNRS Spoken Language Processing Group France Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Germany
Neural Network language models (NNLMs) have recently become an important complement to conventional n-gram language models (LMs) in speech-to-text systems. However, little is known about the behavior of NNLMs. The ana... 详细信息
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The RWTH Aachen Machine Translation System for WMT 2012  12
The RWTH Aachen Machine Translation System for WMT 2012
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Workshop on Statistical Machine Translation
作者: Matthias Huck Stephan Peitz Markus Freitag Malte Nuhn Hermann Ney Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University D-52056 Aachen Germany
This paper describes the statistical machine translation (SMT) systems developed at RWTH Aachen University for the translation task of the NAACL 2012 Seventh Workshop on Statistical Machine Translation (WMT 2012). We ... 详细信息
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Skin-color based videos categorization
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International Journal of Computer Science Issues 2012年 第1 1-3期9卷 473-477页
作者: Khan, Rehanullah Maqsood, Asad Khan, Zeeshan Ishaq, Muhammad Arif, Arsalan Sarhad University of Science and Information Technology Peshawar Pakistan RWTH Aachen Human Language Technology and Pattern Recognition Peshawar Pakistan UET Mardan Peshawar Pakistan
On dedicated websites, people can upload videos and share it with the rest of the world. Currently these videos are categorized manually by the help of the user community. In this paper, we propose a combination of co... 详细信息
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Mobile music modeling, analysis and recognition
Mobile music modeling, analysis and recognition
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Pavel Golik Boulos Harb Ananya Misra Michael Riley Alex Rudnick Eugene Weinstein Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany Google Inc. New York NY USA School of Informatics and Computing Indiana University Bloomington IN USA
We present an analysis of music modeling and recognition techniques in the context of mobile music matching, substantially improving on the techniques presented in [1]. We accomplish this by adapting the features spec... 详细信息
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A convergence analysis of log-linear training and its application to speech recognition
A convergence analysis of log-linear training and its applic...
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2011 IEEE Workshop on Automatic Speech recognition and Understanding, ASRU 2011
作者: Wiesler, S. Schluter, R. Ney, H. Human Language Technology and Pattern Recognition RWTH Aachen University of Technology 52056 Aachen Germany
Log-linear models are a promising approach for speech recognition. Typically, log-linear models are trained according to a strictly convex criterion. Optimization algorithms are guaranteed to converge to the unique gl... 详细信息
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Lexicon Models for Hierarchical Phrase-Based Machine Translation  8
Lexicon Models for Hierarchical Phrase-Based Machine Transla...
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8th International Workshop on Spoken language Translation, IWSLT 2011
作者: Huck, Matthias Mansour, Saab Wiesler, Simon Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
In this paper, we investigate lexicon models for hierarchical phrase-based statistical machine translation. We study five types of lexicon models: a model which is extracted from word-aligned training data and-given t... 详细信息
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The RWTH 2010 Quaero ASR evaluation system for English, French, and German
The RWTH 2010 Quaero ASR evaluation system for English, Fren...
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36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
作者: Sundermeyer, M. Nussbaum-Thom, M. Wiesler, S. Plahl, C. El-Desoky Mousa, A. Hahn, S. Nolden, D. Schlüter, R. Ney, H. Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Germany
Recognizing Broadcast Conversational (BC) speech data is a difficult task, which can be regarded as one of the major challenges beyond the recognition of Broadcast News (BN). © 2011 IEEE.
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Modeling Punctuation Prediction as Machine Translation  8
Modeling Punctuation Prediction as Machine Translation
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8th International Workshop on Spoken language Translation, IWSLT 2011
作者: Peitz, Stephan Freitag, Markus Mauser, Arne Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
Punctuation prediction is an important task in Spoken language Translation. The output of speech recognition systems does not typically contain punctuation marks. In this paper we analyze different methods for punctua... 详细信息
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Combining Translation and language Model Scoring for Domain-Specific Data Filtering  8
Combining Translation and Language Model Scoring for Domain-...
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8th International Workshop on Spoken language Translation, IWSLT 2011
作者: Mansour, Saab Wuebker, Joern Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
The increasing popularity of statistical machine translation (SMT) systems is introducing new domains of translation that need to be tackled. As many resources are already available, domain adaptation methods can be a... 详细信息
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