咨询与建议

限定检索结果

文献类型

  • 281 篇 会议
  • 102 篇 期刊文献

馆藏范围

  • 383 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 260 篇 工学
    • 191 篇 计算机科学与技术...
    • 176 篇 软件工程
    • 66 篇 信息与通信工程
    • 20 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
  • 37 篇 管理学
    • 27 篇 图书情报与档案管...
    • 10 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...
  • 40 篇 training
  • 38 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

  • 212 篇 ney hermann
  • 80 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

  • 381 篇 英文
  • 1 篇 西班牙文
  • 1 篇 中文
检索条件"机构=Human Language Technology and Pattern Recognition"
383 条 记 录,以下是71-80 订阅
排序:
Advancements in Arabic-to-English hierarchical machine translation
Advancements in Arabic-to-English hierarchical machine trans...
收藏 引用
15th International Conference of the European Association for Machine Translation, EAMT 2011
作者: Huck, Matthias Vilar, David Stein, Daniel Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany DFKI GmbH Berlin Germany
In this paper we study several advanced techniques and models for Arabic-to-English statistical machine translation. We examine how the challenges imposed by this particular language pair and translation direction can... 详细信息
来源: 评论
Extraction methods of voicing feature for robust speech recognition  8
Extraction methods of voicing feature for robust speech reco...
收藏 引用
8th European Conference on Speech Communication and technology, EUROSPEECH 2003
作者: Zolnay, András Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Department of Computer Science VI RWTH Aachen - University of Technology Aachen52056 Germany
In this paper, three different voicing features are studied as additional acoustic features for continuous speech recognition. The harmonic product spectrum based feature is extracted in frequency domain while the aut... 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
The Vicomtech-PRHLT Speech Transcription Systems for the IberSPEECH-RTVE 2018 Speech to Text Transcription Challenge  4
The Vicomtech-PRHLT Speech Transcription Systems for the Ibe...
收藏 引用
4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Arzelus, Haritz Álvarez, Aitor Bernath, Conrad García, Eneritz Granell, Emilio Martínez-Hinarejos, Carlos D. Vicomtech Human Speech and Language Technology Group Spain Pattern Recognition and Human Language Technologies Research Center Universitat Politècnica de València Spain
This paper describes our joint submission to the IberSPEECH-RTVE Speech to Text Transcription Challenge 2018, which calls for automatic speech transcription systems to be evaluated in realistic TV shows. With the aim ... 详细信息
来源: 评论
Interactive-Predictive Neural Multimodal Systems  9th
Interactive-Predictive Neural Multimodal Systems
收藏 引用
9th Iberian Conference on pattern recognition and Image Analysis, IbPRIA 2019
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Valencia 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
来源: 评论
Interactive-predictive translation based on multiple word-segments  19
Interactive-predictive translation based on multiple word-se...
收藏 引用
19th Annual Conference of the European Association for Machine Translation, EAMT 2016
作者: Domingo, Miguel Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Camino de Vera s/n Valencia46022 Spain
Current machine translation systems require human revision to produce high-quality translations. This is achieved through a post-editing process or by means of an interactive human-computer collaboration. Most protoco... 详细信息
来源: 评论
Exploring E2E speech recognition systems for new languages  4
Exploring E2E speech recognition systems for new languages
收藏 引用
4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Bernath, Conrad Álvarez, Aitor Arzelus, Haritz Martínez-Hinarejos, Carlos-D. Human Speech and Language Technology Group Vicomtech Spain Pattern Recognition and Human Language Technologies Research Center Universitat Politècnica de València Spain
Over the last few years, advances in both machine learning algorithms and computer hardware have led to significant improvements in speech recognition technology, mainly through the use of Deep Learning paradigms. As ... 详细信息
来源: 评论
Diving Deep into Context-Aware Neural Machine Translation  5
Diving Deep into Context-Aware Neural Machine Translation
收藏 引用
5th Conference on Machine Translation, WMT 2020
作者: Huo, Jingjing Herold, Christian Gao, Yingbo Dahlmann, Leonard Khadivi, Shahram Ney, Hermann eBay Inc. Aachen Germany Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
Context-aware neural machine translation (NMT) is a promising direction to improve the translation quality by making use of the additional context, e.g., document-level translation, or having meta-information. Althoug... 详细信息
来源: 评论
Active learning for interactive neural machine translation of data streams  22
Active learning for interactive neural machine translation o...
收藏 引用
22nd Conference on Computational Natural language Learning, CoNLL 2018
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
We study the application of active learning techniques to the translation of unbounded data streams via interactive neural machine translation. The main idea is to select, from an unbounded stream of source sentences,... 详细信息
来源: 评论
The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016  1
The RWTH Aachen University English-Romanian Machine Translat...
收藏 引用
1st Conference on Machine Translation, WMT 2016, held at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
作者: Peter, Jan-Thorsten Alkhouli, Tamer Guta, Andreas Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This paper describes the statistical machine translation system developed at RWTH Aachen University for the English→Romanian translation task of the ACL 2016 First Conference on Machine Translation (WMT 2016). We com... 详细信息
来源: 评论