检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

281 篇 会议
101 篇 期刊文献

馆藏范围

382 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

259 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
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...
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

380 篇 英文
1 篇 西班牙文
1 篇 中文

检索条件"机构=Pattern Recognition and Human Language Technology"

共 382 条记录，以下是281-290 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Conditional leaving-one-out and cross-validation for discount estimation in Kneser-Ney-like extensions

Conditional leaving-one-out and cross-validation for discoun...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： J. Andrés-Ferrer M. Sundermeyer H. Ney Pattern Recognition and Human Language Technology Universidad Politécnica de Valencia Spain Human Language Technology and Pattern Recognition RWTH Aachen University Germany

The smoothing of n-gram models is a core technique in language modelling (LM). Modified Kneser-Ney (mKN) ranges among one of the best smoothing techniques. This technique discounts a fixed quantity from the observed counts in order to approximate the Turing-Good (TG) counts. Despite the TG counts optimise the leaving-one-out (L1O) criterion, the discounting parameters introduced in mKN do not. Moreover, the approximation to the TG counts for large counts is heavily simplified. In this work, both ideas are addressed: the estimation of the discounting parameters by L1O and better functional forms to approximate larger TG counts. The L1O performance is compared with cross-validation (CV) and mKN baseline in two large vocabulary tasks.

关键词： Smoothing methods Approximation methods Standards Optimization Estimation Computational modeling Training

来源：评论

学校读者我要写书评

暂无评论

Semantic cohesion model for phrase-based SMT

Semantic cohesion model for phrase-based SMT

引用

24th International Conference on Computational Linguistics, COLING 2012

作者： Feng, Minwei Sun, Weiwei Ney, Hermann Computer Science Department Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany MOE Key Laboratory of Computational Linguistics Institute of Computer Science and Technology Peking University Beijing China

In this paper, we propose a novel semantic cohesion model. Our model utilizes the predicateargument structures as soft constraints and plays the role as a reordering model in the phrasebased statistical machine translation system. We build a translation system with GALE data. Experimental results on the NIST02, NIST03, NIST04, NIST05 and NIST08 Chinese-English tasks show that our model improves the baseline system by 0.93 BLEU 0.98 TER on average. We also compare our method with a syntax-augmented model (Cherry, 2008), and demonstrate the importance of predicate-argument semantics in machine translation. © 2012 The COLING.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Fast and scalable decoding with language model look-ahead for phrase-based statistical machine translation

Fast and scalable decoding with language model look-ahead fo...

引用

50th Annual Meeting of the Association for Computational Linguistics, ACL 2012

作者： Wuebker, Joern Ney, Hermann Zens, Richard Computer Science Department Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany Google Inc. 1600 Amphitheatre Parkway Mountain View CA 94043 United States

ISBN: (纸本)9781937284251

In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of decoding by minimizing the number of language model computations and hypothesis expansions. Our results show that language model based pre-sorting yields a small improvement in translation quality and a speedup by a factor of 2. Two look-ahead methods are shown to further increase translation speed by a factor of 2 without changing the search space and a factor of 4 with the side-effect of some additional search errors. We compare our approach with Moses and observe the same performance, but a substantially better trade-off between translation quality and speed. At a speed of roughly 70 words per second, Moses reaches 17.2% BLEU, whereas our approach yields 20.0% with identical models. © 2012 Association for Computational Linguistics.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives 12

Phrase Model Training for Statistical Machine Translation wi...

引用

Workshop on Statistical Machine Translation

作者： Joern Wuebker Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany

ISBN: (纸本)9781622765928

In statistical machine translation, word lattices are used to represent the ambiguities in the preprocessing of the source sentence, such as word segmentation for Chinese or morphological analysis for German. Several approaches have been proposed to define the probability of different paths through the lattice with external tools like word segmenters, or by applying indicator features. We introduce a novel lattice design, which explicitly distinguishes between different preprocessing alternatives for the source sentence. It allows us to make use of specific features for each preprocessing type and to lexicalize the choice of lattice path directly in the phrase translation model. We argue that forced alignment training can be used to learn lattice path and phrase translation model simultaneously. On the news-commentary portion of the German→English WMT 2011 task we can show moderate improvements of up to 0.6% Bleu over a state-of-the-art baseline system.

关键词： machine translation crystal lattices Word Pretreatment

来源：评论

学校读者我要写书评

暂无评论

Analysis of Preprocessing Techniques for Latin Handwriting recognition

Analysis of Preprocessing Techniques for Latin Handwriting R...

引用

International Workshop on Frontiers in Handwriting recognition

作者： Hendrik Pesch Mahdi Hamdani Jens Forster Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany

In this work we analyze the contribution of preprocessing steps for Latin handwriting recognition. A preprocessing pipeline based on geometric heuristics and image statistics is used. This pipeline is applied to French and English handwriting recognition in an HMM based framework. Results show that preprocessing improves recognition performance for the two tasks. The Maximum Likelihood (ML)-trained HMM system reaches a competitive WER of 16.7% and outperforms many sophisticated systems for the French handwriting recognition task. The results for English handwriting are comparable to other ML-trained HMM recognizers. Using MLP preprocessing a WER of 35.3% is achieved.

关键词： Hidden Markov models Databases Handwriting recognition Pipelines Text recognition Noise

来源：评论

学校读者我要写书评

暂无评论

Comparison and combination of different CRBE based MLP features for LVCSR

Comparison and combination of different CRBE based MLP featu...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Zoltán Tüske Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany

Multi Layer Perceptron (MLP) features extracted from different types of critical band energies (CRBE) - derived from MFCC, GT, and PLP pipeline - are compared on French broadcast news and conversational speech recognition task. Though the MLP structure is kept fixed, ROVER combination of different CRBE based systems leads to 4% relative improvement. Furthermore, aiming at the combination of state-of-the-art features based on various signal analysis methods into one single stream, posterior feature space based combination technique is proposed. The speaker normalized features originated from different CRBEs are merged after additional MLP training by Dempster-Shafer rule. The performance of these posterior features unifying the different CRBE based features is superior to the best single CRBE based posterior features by 6% relative. Further results reveal that the concatenated cepstral and unified posterior features perform nearly as well as the ROVER combination of the different CRBE based systems.

关键词： Feature extraction Mel frequency cepstral coefficient Speech Training Hidden Markov models

来源：评论

学校读者我要写书评

暂无评论

Investigations on the use of morpheme level features in language Models for Arabic LVCSR

Investigations on the use of morpheme level features in Lang...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Amr El-Desoky Mousa Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition-Computer Science Department RWTH Aachen University Aachen Germany

A major challenge for Arabic Large Vocabulary Continuous Speech recognition (LVCSR) is the rich morphology of Arabic, which leads to high Out-of-vocabulary (OOV) rates, and poor language Model (LM) probabilities. In such cases, the use of morphemes rather than full-words is considered a better choice for LMs. Thereby, higher lexical coverage and less LM perplexities are achieved. On the other side, an effective way to increase the robustness of LMs is to incorporate features of words into LMs. In this paper, we investigate the use of features derived for morphemes rather than words. Thus, we combine the benefits of both morpheme level and feature rich modeling. We compare the performance of stream-based, class-based and Factored LMs (FLMs) estimated over sequences of morphemes and their features for performing Arabic LVCSR. A relative reduction of 3.9% in Word Error Rate (WER) is achieved compared to a word-based system.

关键词： Computational modeling Mathematical model Lattices humans Speech recognition USA Councils Interpolation

来源：评论

学校读者我要写书评

暂无评论

Phase difference of filter-stable part-tones as acoustic feature

Phase difference of filter-stable part-tones as acoustic fea...

引用

IEEE/SP Workshop on Statistical Signal Processing (SSP)

作者： Zoltán Tüske Friedhelm R. Drepper Ralf Schlüter Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany

A part-tone decomposition of voiced sections of speech is introduced, which is adapted with high accuracy to the frequency of the glottal oscillator of the speaker. The iterative replacement of the center filter frequency contours (chosen locally as linear chirp) of the non-stationary bandpass filters converges extremely fast and leads to the extraction of filter-stable part-tones with uncorrupted phases. In contrast to phases of frequency decomposition with a priori defined, constant filter frequencies, the phase differences of filter-stable part-tones promise to become a useful supplement of the amplitude based acoustic features used for conventional automatic speech recognition. The derived phase features are tested in vowel classification experiments based on the phonetically rich TIMIT database.

关键词： Speech Harmonic analysis Equations Time frequency analysis Mel frequency cepstral coefficient Speech processing

来源：评论

学校读者我要写书评

暂无评论

Silence is golden: Modeling non-speech events in WFST-based dynamic network decoders

Silence is golden: Modeling non-speech events in WFST-based ...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： David Rybach Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany

Models for silence are a fundamental part of continuous speech recognition systems. Depending on application requirements, audio data segmentation, and availability of detailed training data annotations, it may be necessary or beneficial to differentiate between other non-speech events, for example breath and background noise. The integration of multiple non-speech models in a WFST-based dynamic network decoder is not straightforward, because these models do not perfectly fit in the transducer framework. This paper describes several options for the transducer construction with multiple non-speech models, shows their considerable different characteristics in memory and runtime efficiency, and analyzes the impact on the recognition performance.

关键词： Hidden Markov models Transducers Decoding Context Speech Noise Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Moment-Based Image Normalization for Handwritten Text recognition

Moment-Based Image Normalization for Handwritten Text Recogn...

引用

International Workshop on Frontiers in Handwriting recognition

作者： Michal Kozielski Jens Forster Hermann Ney Human Language Technology and Pattern Recognition Group Chair of Computer Science 6 RWTH Aachen University Aachen Germany

In this paper, we extend the concept of moment-based normalization of images from digit recognition to the recognition of handwritten text. Image moments provide robust estimates for text characteristics such as size and position of words within an image. For handwriting recognition the normalization procedure is applied to image slices independently. Additionally, a novel moment-based algorithm for line-thickness normalization is presented. The proposed normalization methods are evaluated on the RIMES database of French handwriting and the IAM database of English handwriting. For RIMES we achieve an improvement from 16.7% word error rate to 13.4% and for IAM from 46.6% to 37.3%.

关键词： Hidden Markov models Databases Shape Image segmentation Vectors Handwriting recognition Error analysis

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共39页 << < 25 26 27 28 29 30 31 32 33 34 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：