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检索条件"机构=Human Language Technology and Pattern Recognition"
383 条 记 录,以下是91-100 订阅
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The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018  3
The RWTH Aachen University English-German and German-English...
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3rd Conference on Machine Translation, WMT 2018 at the Conference on Empirical Methods in Natural language Processing, EMNLP 2018
作者: Graça, Miguel Kim, Yunsu Schamper, Julian Geng, Jiahui Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This paper describes the unsupervised neural machine translation (NMT) systems of the RWTH Aachen University developed for the English ↔ German news translation task of the EMNLP 2018 Third Conference on Machine Trans... 详细信息
来源: 评论
The rwth aachen german-english machine translation system for WMT 2014  9
The rwth aachen german-english machine translation system fo...
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9th Workshop on Statistical Machine Translation, WMT 2014 at the 52nd Conference of the Associationfor Computational Linguistics, ACL 2014
作者: Peitz, Stephan Wuebker, Joern Freitag, Markus 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 (SMT) systems developed at RWTH Aachen University for the German!English translation task of the ACL 2014 Eighth Workshop on Statistical Machine Translation (WM... 详细信息
来源: 评论
The rwth aachen german-english machine translation system for wmt 2015  10
The rwth aachen german-english machine translation system fo...
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10th Workshop on Statistical Machine Translation, WMT 2015 at the 2015 Conference on Empirical Methods in Natural language Processing, EMNLP 2015
作者: Peter, Jan-Thorsten Toutounchi, Farzad Wuebker, Joern 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 German!English translation task of the EMNLP 2015 Tenth Workshop on Statistical Machine Translation (WMT 2015... 详细信息
来源: 评论
Neural language Modeling for Named Entity recognition  28
Neural Language Modeling for Named Entity Recognition
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28th International Conference on Computational Linguistics, COLING 2020
作者: Lei, Zhihong Wang, Weiyue Dugast, Christian Ney, Hermann Apple Inc. Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Germany
Regardless of different word embedding and hidden layer structures of the neural architectures that are used in named entity recognition, a conditional random field layer is commonly used for the output. This work pro... 详细信息
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The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018  3
The RWTH Aachen University Supervised Machine Translation Sy...
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3rd Conference on Machine Translation, WMT 2018 at the Conference on Empirical Methods in Natural language Processing, EMNLP 2018
作者: Schamper, Julian Rosendahl, Jan Bahar, Parnia Kim, Yunsu Nix, Arne 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 systems developed at RWTH Aachen University for the German→English, English→Turkish and Chinese→English translation tasks of the EMNLP 2018 Third Conference ... 详细信息
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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
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Adapting neural machine translation with parallel synthetic data  2
Adapting neural machine translation with parallel synthetic ...
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2nd Conference on Machine Translation, WMT 2017
作者: Chinea-Ríos, Mara Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
Recent works have shown that the usage of a synthetic parallel corpus can be effectively exploited by a neural machine translation system. In this paper, we propose a new method for adapting a general neural machine t... 详细信息
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Insertion and deletion models for statistical machine translation
Insertion and deletion models for statistical machine transl...
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2012 Conference of the North American Chapter of the Association for Computational Linguistics: human language Technologies, NAACL HLT 2012
作者: Huck, Matthias Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
We investigate insertion and deletion models for hierarchical phrase-based statistical machine translation. Insertion and deletion models are designed as a means to avoid the omission of content words in the hypothese... 详细信息
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The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task  3
The RWTH Aachen University Filtering System for the WMT 2018...
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3rd Conference on Machine Translation, WMT 2018 at the Conference on Empirical Methods in Natural language Processing, EMNLP 2018
作者: Rossenbach, Nick Rosendahl, Jan Kim, Yunsu Graça, Miguel Gokrani, Aman Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This paper describes the submission of RWTH Aachen University for the De→En parallel corpus filtering task of the EMNLP 2018 Third Conference on Machine Translation (WMT 2018). We use several rule-based, heuristic me... 详细信息
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Does Joint Training Really Help Cascaded Speech Translation?
Does Joint Training Really Help Cascaded Speech Translation?
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2022 Conference on Empirical Methods in Natural language Processing, EMNLP 2022
作者: Tran, Viet Anh Khoa Thulke, David Gao, Yingbo Herold, Christian Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Currently, in speech translation, the straightforward approach - cascading a recognition system with a translation system - delivers state-of-the-art results. However, fundamental challenges such as error propagation ... 详细信息
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