咨询与建议

限定检索结果

文献类型

  • 284 篇 会议
  • 101 篇 期刊文献

馆藏范围

  • 385 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 261 篇 工学
    • 192 篇 计算机科学与技术...
    • 176 篇 软件工程
    • 66 篇 信息与通信工程
    • 21 篇 机械工程
    • 19 篇 生物工程
    • 17 篇 控制科学与工程
    • 14 篇 电气工程
    • 14 篇 电子科学与技术(可...
    • 10 篇 光学工程
    • 9 篇 化学工程与技术
    • 7 篇 生物医学工程(可授...
    • 3 篇 仪器科学与技术
    • 3 篇 动力工程及工程热...
    • 2 篇 材料科学与工程(可...
    • 2 篇 土木工程
  • 163 篇 理学
    • 109 篇 物理学
    • 66 篇 数学
    • 36 篇 统计学(可授理学、...
    • 23 篇 生物学
    • 20 篇 系统科学
    • 10 篇 化学
    • 1 篇 地球物理学
  • 36 篇 管理学
    • 26 篇 图书情报与档案管...
    • 9 篇 管理科学与工程(可...
    • 4 篇 工商管理
  • 6 篇 法学
    • 5 篇 社会学
    • 1 篇 法学
  • 2 篇 文学
    • 2 篇 外国语言文学
    • 1 篇 中国语言文学
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 农学
  • 1 篇 医学
  • 1 篇 艺术学

主题

  • 66 篇 speech recogniti...
  • 41 篇 training
  • 39 篇 hidden markov mo...
  • 29 篇 neural machine t...
  • 23 篇 machine translat...
  • 20 篇 decoding
  • 19 篇 handwriting reco...
  • 18 篇 computer aided l...
  • 16 篇 recurrent neural...
  • 15 篇 feature extracti...
  • 15 篇 transducers
  • 14 篇 vocabulary
  • 12 篇 databases
  • 12 篇 error analysis
  • 11 篇 speech
  • 10 篇 pattern recognit...
  • 10 篇 humans
  • 9 篇 training data
  • 9 篇 optimization
  • 9 篇 context

机构

  • 52 篇 human language t...
  • 40 篇 human language t...
  • 38 篇 apptek gmbh aach...
  • 32 篇 human language t...
  • 31 篇 human language t...
  • 23 篇 apptek gmbh aach...
  • 21 篇 human language t...
  • 16 篇 human language t...
  • 13 篇 human language t...
  • 12 篇 pattern recognit...
  • 10 篇 human language t...
  • 9 篇 spoken language ...
  • 9 篇 human language t...
  • 8 篇 computer science...
  • 8 篇 human language t...
  • 6 篇 pattern recognit...
  • 6 篇 human language t...
  • 6 篇 human language t...
  • 6 篇 human language t...
  • 5 篇 a2ia sa

作者

  • 213 篇 ney hermann
  • 82 篇 hermann ney
  • 61 篇 schlüter ralf
  • 22 篇 ralf schluter
  • 21 篇 ralf schlüter
  • 20 篇 wuebker joern
  • 18 篇 casacuberta fran...
  • 18 篇 zeyer albert
  • 18 篇 zhou wei
  • 16 篇 gao yingbo
  • 14 篇 kim yunsu
  • 14 篇 herold christian
  • 13 篇 mansour saab
  • 13 篇 zeineldeen moham...
  • 13 篇 patrick doetsch
  • 13 篇 peitz stephan
  • 13 篇 huck matthias
  • 12 篇 peris álvaro
  • 12 篇 peter jan-thorst...
  • 12 篇 michel wilfried

语言

  • 383 篇 英文
  • 1 篇 西班牙文
  • 1 篇 中文
检索条件"机构=Human Language Technology and Pattern"
385 条 记 录,以下是241-250 订阅
排序:
THE RWTH ENGLISH LECTURE RECOGNITION SYSTEM
THE RWTH ENGLISH LECTURE RECOGNITION SYSTEM
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Simon Wiesler Kazuki Irie Zoltan Tuske Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany Ecole Centrale Paris Paris France
In this paper, we describe the RWTH speech recognition system for English lectures developed within the Translectures project. A difficulty in the development of an English lectures recognition system, is the high rat... 详细信息
来源: 评论
Open-Lexicon language Modeling Combining Word and Character Levels
Open-Lexicon Language Modeling Combining Word and Character ...
收藏 引用
International Workshop on Frontiers in Handwriting Recognition
作者: Michal Kozielski Martin Matysiak Patrick Doetsch Ralf Schlöter Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany Rheinisch-Westfalische Technische Hochschule Aachen Aachen Nordrhein-Westfalen DE
In this paper we investigate different n-gram language models that are defined over an open lexicon. We introduce a character-level language model and combine it with a standard word-level language model in a back off... 详细信息
来源: 评论
Length-incremental Phrase Training for SMT  8
Length-incremental Phrase Training for SMT
收藏 引用
8th Workshop on Statistical Machine Translation, WMT 2013
作者: Wuebker, Joern Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
We present an iterative technique to generate phrase tables for SMT, which is based on force-aligning the training data with a modified translation decoder. Different from previous work, we completely avoid the use of... 详细信息
来源: 评论
Improving statistical machine translation with word class models
Improving statistical machine translation with word class mo...
收藏 引用
2013 Conference on Empirical Methods in Natural language Processing, EMNLP 2013
作者: Wuebker, Joern Peitz, Stephan Rietig, Felix Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
Automatically clustering words from a monolingual or bilingual training corpus into classes is a widely used technique in statistical natural language processing. We present a very simple and easy to implement method ... 详细信息
来源: 评论
Advancements in reordering models for statistical machine translation
Advancements in reordering models for statistical machine tr...
收藏 引用
51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
作者: Feng, Minwei Peter, Jan-Thorsten Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
In this paper, we propose a novel reordering model based on sequence labeling techniques. Our model converts the reordering problem into a sequence labeling problem, i.e. a tagging task. Results on five Chinese-Englis... 详细信息
来源: 评论
Beam search for solving substitution ciphers
Beam search for solving substitution ciphers
收藏 引用
51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
作者: Nuhn, Malte Schamper, Julian Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
In this paper we address the problem of solving substitution ciphers using a beam search approach. We present a conceptually consistent and easy to implement method that improves the current state of the art for decip... 详细信息
来源: 评论
Decipherment complexity in 1:1 substitution ciphers
Decipherment complexity in 1:1 substitution ciphers
收藏 引用
51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
作者: Nuhn, Malte Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
In this paper we show that even for the case of 1:1 substitution ciphers-which encipher plaintext symbols by exchanging them with a unique substitute-finding the optimal decipherment with respect to a bigram language ... 详细信息
来源: 评论
Phrase training based adaptation for statistical machine translation
Phrase training based adaptation for statistical machine tra...
收藏 引用
2013 Conference of the North American Chapter of the Association for Computational Linguistics: human language Technologies, NAACL HLT 2013
作者: Mansour, Saab Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
We present a novel approach for translation model (TM) adaptation using phrase training. The proposed adaptation procedure is initialized with a standard general-domain TM, which is then used to perform phrase trainin... 详细信息
来源: 评论
Phrase Training Based Adaptation for Statistical Machine Translation  2
Phrase Training Based Adaptation for Statistical Machine Tra...
收藏 引用
2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: human language Technologies, NAACL-HLT 2013
作者: Mansour, Saab Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
We present a novel approach for translation model (TM) adaptation using phrase training. The proposed adaptation procedure is initialized with a standard general-domain TM, which is then used to perform phrase trainin... 详细信息
来源: 评论
TANDEM HMM WITH CONVOLUTIONAL NEURAL NETWORK FOR HANDWRITTEN WORD RECOGNITION
TANDEM HMM WITH CONVOLUTIONAL NEURAL NETWORK FOR HANDWRITTEN...
收藏 引用
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Bluche, Theodore Ney, Hermann Kermorvant, Christopher A2iA SA France LIMSI CNRS Spoken Language Processing Group France RWTH Aachen University Human Language Technology and Pattern Recognition Germany
In this paper, we investigate the combination of hidden Markov models and convolutional neural networks for handwritten word recognition. The convolutional neural networks have been successfully applied to various com... 详细信息
来源: 评论