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检索条件"机构=Human Language Technology and Pattern"
385 条 记 录,以下是281-290 订阅
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Pivot lightly-supervised training for statistical machine translation  10
Pivot lightly-supervised training for statistical machine tr...
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10th Conference of the Association for Machine Translation in the Americas, AMTA 2012
作者: Huck, Matthias Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
In this paper, we investigate large-scale lightly-supervised training with a pivot language: We augment a baseline statistical machine translation (SMT) system that has been trained on human-generated parallel trainin... 详细信息
来源: 评论
Leave-One-Out Phrase Model Training for Large-Scale Deployment  7
Leave-One-Out Phrase Model Training for Large-Scale Deployme...
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7th Workshop on Statistical Machine Translation, WMT 2012, immediately following the Conference of the North-American Chapter of the Association for Computational Linguistics - human language Technologies, NAACL HLT 2012
作者: Wuebker, Joern Hwang, Mei-Yuh Quirk, Chris Human Language Technology And Pattern Recognition Group Rwth Aachen University Germany Microsoft Corporation RedmondWA United States
Training the phrase table by force-aligning (FA) the training data with the reference translation has been shown to improve the phrasal translation quality while significantly reducing the phrase table size on medium ... 详细信息
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Discriminative reordering extensions for hierarchical phrase-based machine translation  16
Discriminative reordering extensions for hierarchical phrase...
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16th Annual Conference of the European Association for Machine Translation, EAMT 2012
作者: Huck, Matthias Peitz, Stephan Freitag, Markus Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
In this paper, we propose novel extensions of hierarchical phrase-based systems with a discriminative lexicalized reordering model. We compare different feature sets for the discriminative reordering model and investi... 详细信息
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Conditional leaving-one-out and cross-validation for discount estimation in Kneser-Ney-like extensions
Conditional leaving-one-out and cross-validation for discoun...
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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 c... 详细信息
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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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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...
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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
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 la... 详细信息
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Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives  12
Phrase Model Training for Statistical Machine Translation wi...
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Workshop on Statistical Machine Translation
作者: Joern Wuebker Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
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 ... 详细信息
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Analysis of Preprocessing Techniques for Latin Handwriting Recognition
Analysis of Preprocessing Techniques for Latin Handwriting R...
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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 Frenc... 详细信息
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Investigations on the use of morpheme level features in language Models for Arabic LVCSR
Investigations on the use of morpheme level features in Lang...
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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 s... 详细信息
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Comparison and combination of different CRBE based MLP features for LVCSR
Comparison and combination of different CRBE based MLP featu...
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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 recogni... 详细信息
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