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检索条件"机构=Department of Computer Science Department of Language and Human Development"
939 条 记 录,以下是231-240 订阅
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The RWTH Phrase-based Statistical Machine Translation System  2
The RWTH Phrase-based Statistical Machine Translation System
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2nd International Workshop on Spoken language Translation, IWSLT 2005
作者: Zens, Richard Bender, Oliver Hasan, Saša Khadivi, Shahram Matusov, Evgeny Xu, Jia Zhang, Yuqi Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik VI Computer Science Department RWTH Aachen University AachenD-52056 Germany
We give an overview of the RWTH phrase-based statistical machine translation system that was used in the evaluation campaign of the International Workshop on Spoken language Translation 2005. We use a two pass approac... 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
EMPIRICAL MEASUREMENTS ON A SESOTHO TONE LABELING ALGORITHM  3
EMPIRICAL MEASUREMENTS ON A SESOTHO TONE LABELING ALGORITHM
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3rd Workshop on Spoken language Technologies for Under-Resourced languages, SLTU 2012
作者: Raborife, Mpho Zerbian, Sabine Ewert, Sigrid Meraka Institute Human Language Technology Group South Africa Potsdam University Department of Linguistics Germany University of the Witwatersrand School of Computer Science South Africa
This article discusses the empirical assessments employed on two versions of a Sesotho tone labeling algorithm. This algorithm uses linguistically-defined Sesotho tonal rules to predict the tone labels on the syllable... 详细信息
来源: 评论
The RWTH Machine Translation System for IWSLT 2007  4
The RWTH Machine Translation System for IWSLT 2007
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4th International Workshop on Spoken language Translation, IWSLT 2007
作者: Mauser, Arne Vilar, David Leusch, Gregor Zhang, Yuqi Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 Computer Science Department RWTH Aachen University AachenD-52056 Germany
The RWTH system for the IWSLT 2007 evaluation is a combination of several statistical machine translation systems. The combination includes Phrase-Based models, a n-gram translation model and a hierarchical phrase mod... 详细信息
来源: 评论
Towards a corpus of speech emotion for interactive dialog systems  19
Towards a corpus of speech emotion for interactive dialog sy...
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19th Annual Conference of the Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques, O-COCOSDA 2016
作者: Bertero, Dario Siddique, Farhad Bin Fung, Pascale Human Language Technology Center Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Hong Kong Hong Kong
We present and discuss an ongoing data collection and annotation effort to build a large corpus on speech emotion detection. We collected 207 hours of public speech data from TED talks. We highlight the expected relat... 详细信息
来源: 评论
A long short-term memory framework for predicting humor in dialogues  15
A long short-term memory framework for predicting humor in d...
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15th Conference of the North American Chapter of the Association for Computational Linguistics: human language Technologies, NAACL HLT 2016
作者: Bertero, Dario Fung, Pascale Human Language Technology Center Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Hong Kong Hong Kong
We propose a first-ever attempt to employ a Long Short-Term memory based framework to predict humor in dialogues. We analyze data from a popular TV-sitcom, whose canned laughters give an indication of when the audienc... 详细信息
来源: 评论
Raising the bar: Stacked conservative error correction beyond boosting  4
Raising the bar: Stacked conservative error correction beyon...
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4th International Conference on language Resources and Evaluation, LREC 2004
作者: Wu, Dekai Ngai, Grace Carpuat, Marine Human Language Technology Center HKUST Department of Computer Science University of Science and Technology Clear Water Bay Hong Kong Hong Kong Hong Kong Polytechnic University Department of Computing Kowloon Hong Kong
We introduce a conservative error correcting model, Stacked TBL, that is designed to improve the performance of even high-performing models like boosting, with little risk of accidentally degrading performance. Stacke... 详细信息
来源: 评论
Quantum Particle Swarm Optimization with Deep Learning-Based Arabic Tweets Sentiment Analysis
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computers, Materials & Continua 2023年 第5期75卷 2575-2591页
作者: Badriyya BAl-onazi Abdulkhaleq Q.A.Hassan Mohamed K.Nour Mesfer Al Duhayyim Abdullah Mohamed Amgad Atta Abdelmageed Ishfaq Yaseen Gouse Pasha Mohammed Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of English College of Science and Arts at MahayilKing Khalid UniversityAbha62217Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversityMakkah24231Saudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversityAl-Aflaj16828Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16436Saudi Arabia
Sentiment Analysis(SA),a Machine Learning(ML)technique,is often applied in the *** SA technique is specifically applied to the data collected from social media *** research studies conducted earlier upon the SA of the... 详细信息
来源: 评论
Semantic cohesion model for phrase-based SMT
Semantic cohesion model for phrase-based SMT
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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 transl... 详细信息
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Situation-centered goal reinforcement of activities of daily living in smart home environments
Situation-centered goal reinforcement of activities of daily...
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作者: Oyeleke, Richard O. Chang, Carl K. Margrett, Jennifer Department of Computer Science Iowa State University Ames IA United States Department of Human Development and Family Studies Iowa State University Ames IA United States
Older adults with early-stage dementia (ED) can experience confusion or lack clarity when performing routine activities of daily living (ADLs). These circumstances predispose the older adult to safety-critical and oft... 详细信息
来源: 评论