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检索条件"机构=Human Language Technology And Pattern Recognition Group"
397 条 记 录,以下是351-360 订阅
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Confidence-based discriminative training for model adaptation in offline Arabic handwriting recognition
Confidence-based discriminative training for model adaptatio...
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ICDAR2009 - 10th International Conference on Document Analysis and recognition
作者: Dreuw, Philippe Heigold, Georg Ney, Hermann RWTH Aachen University Human Language Technology and Pattern Recognition Ahornstr 55 D-52056 Aachen Germany
We present a novel confidence-based discriminative training for model adaptation approach for an HMM based Arabic handwriting recognition system to handle different handwriting styles and their variations. Most curren... 详细信息
来源: 评论
Are unaligned words important for machine translation?
Are unaligned words important for machine translation?
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13th Annual Conference of the European Association for Machine Translation, EAMT 2009
作者: Zhang, Yuqi Matusov, Evgeny Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 - Computer Science Department RWTH Aachen University D-52056 Aachen Germany
In this paper, we deal with the problem of a large number of unaligned words in automatically learned word alignments for machine translation (MT). These unaligned words are the reason for ambiguous phrase pairs extra... 详细信息
来源: 评论
Demonstration of Joshua: An open source toolkit for parsing-based machine translation
Demonstration of Joshua: An open source toolkit for parsing-...
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Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural language Processing of the AFNLP, ACL-IJCNLP 2009
作者: Li, Zhifei Callison-Burch, Chris Dyer, Chris Ganitkevitch, Juri Khudanpur, Sanjeev Schwartz, Lane Thornton, Wren N.G. Weese, Jonathan Zaidan, Omar F. Center for Language and Speech Processing Johns Hopkins University United States Computational Linguistics and Information Processing Lab. University of Maryland United States Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany Natural Language Processing Lab. University of Minnesota United States
We describe Joshua (Li et al., 2009a)1, an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for translation via synchronous context free grammars (SCFGs): chart... 详细信息
来源: 评论
Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting recognition
Confidence-Based Discriminative Training for Model Adaptatio...
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International Conference on Document Analysis and recognition
作者: Philippe Dreuw Georg Heigold Hermann Ney Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany
We present a novel confidence-based discriminative training for model adaptation approach for an HMM based Arabic handwriting recognition system to handle different handwriting styles and their *** current approaches ... 详细信息
来源: 评论
Writer Adaptive Training and Writing Variant Model Refinement for Offline Arabic Handwriting recognition
Writer Adaptive Training and Writing Variant Model Refinemen...
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International Conference on Document Analysis and recognition
作者: Philippe Dreuw David Rybach Christian Gollan Hermann Ney Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany
We present a writer adaptive training and writer clustering approach for an HMM based Arabic handwriting recognition system to handle different handwriting styles and their variations. Additionally, a writing variant ... 详细信息
来源: 评论
Joshua: An Open Source Toolkit for Parsing-based Machine Translation  4
Joshua: An Open Source Toolkit for Parsing-based Machine Tra...
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4th Workshop on Statistical Machine Translation, WMT 2009, immediately preceding the 12th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2009
作者: Li, Zhifei Callison-Burch, Chris Dyer, Chris Ganitkevitch, Juri Khudanpur, Sanjeev Schwartz, Lane Thornton, Wren N. G. Weese, Jonathan Zaidan, Omar F. Center For Language And Speech Processing Johns Hopkins University BaltimoreMD United States Computational Linguistics And Information Processing Lab University of Maryland College ParkMD United States Human Language Technology And Pattern Recognition Group RWTH Aachen University Germany Natural Language Processing Lab University of Minnesota MinneapolisMN United States
We describe Joshua, an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for synchronous context free grammars (SCFGs): chart-parsing, ngram language model integ... 详细信息
来源: 评论
Audio segmentation for speech recognition using segment features
Audio segmentation for speech recognition using segment feat...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: David Rybach Christian Gollan Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Germany
Audio segmentation is an essential preprocessing step in several audio processing applications with a significant impact e.g. on speech recognition performance. We introduce a novel framework which combines the advant... 详细信息
来源: 评论
White-space models for offline Arabic handwriting recognition
White-space models for offline Arabic handwriting recognitio...
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作者: Dreuw, Philippe Jonas, Stephan Ney, Hermann Human Language Technology and Pattern Recognition RWTH Aachen University Germany
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
来源: 评论
Statistical pattern recognition and machine translation from 1988 to 1998: What has happened?
Statistical pattern recognition and machine translation from...
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8th International Workshop on pattern recognition in Information Systems, PRIS 2008;In Conjunction with ICEIS 2008
作者: Ney, Hermann Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany
来源: 评论
Spoken language processing techniques for sign language recognition and translation
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technology and Disability 2008年 第2期20卷 121-133页
作者: Dreuw, Philippe Stein, Daniel Deselaers, Thomas Rybach, David Zahedi, Morteza Bungeroth, Jan Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department 6 RWTH Aachen University Aachen Germany
We present an approach to automatically recognize sign language and translate it into a spoken language. A system to address these tasks is created based on state-of-the-art techniques from statistical machine transla...
来源: 评论