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Universal Conditional Masked Language Pre-training for Neural Machine Translation ...
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Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021 ...
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Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision ...
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Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training ...
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Two Parents, One Child: {D}ual Transfer for Low-Resource Neural Machine Translation ...
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RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer ...
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Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training ...
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Semantics-enhanced task-oriented dialogue translation: a case Study on hotel booking
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In: Wang, Longyue orcid:0000-0002-9062-6183 , Du, Jinhua orcid:0000-0002-3267-4881 , Li, Liangyou orcid:0000-0002-0279-003X , Tu, Zhaopeng, Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2017) Semantics-enhanced task-oriented dialogue translation: a case Study on hotel booking. In: 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), 27 Nov-1 Dec 2017, Taipei, Taiwan. (2017)
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Abstract:
We showcase TODAY, a semanticsenhanced task-oriented dialogue translation system, whose novelties are: (i) taskoriented named entity (NE) definition and a hybrid strategy for NE recognition and translation; and (ii) a novel grounded semantic method for dialogue understanding and task-order management. TODAY is a case-study demo which can efficiently and accurately assist customers and agents in different languages to reach an agreement in a dialogue for the hotel booking.
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Keyword:
Machine translating
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URL: http://doras.dcu.ie/23369/
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Context-aware graph segmentation for graph-based translation
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In: Li, Liangyou orcid:0000-0002-0279-003X , Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2017) Context-aware graph segmentation for graph-based translation. In: 15th Conference of the European Chapter of the Association for Computational Linguistics, 3-7 Apr 2017, Valencia, Spain. (2017)
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Combining translation memories and syntax-based SMT: experiments with real industrial data
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In: Li, Liangyou orcid:0000-0002-0279-003X , Parra Escartín, Carla orcid:0000-0002-8412-1525 and Liu, Qun orcid:0000-0002-7000-1792 (2016) Combining translation memories and syntax-based SMT: experiments with real industrial data. Baltic Journal of Modern Computing, 4 (2). pp. 165-177. ISSN 2255-8942 (2016)
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Dependency graph-based statistical machine translation
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Li, Liangyou. - : Dublin City University. School of Computing, 2016
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In: Li, Liangyou orcid:0000-0002-0279-003X (2016) Dependency graph-based statistical machine translation. PhD thesis, Dublin City University. (2016)
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Topic-informed neural machine translation
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In: Zhang, Jian, Li, Liangyou orcid:0000-0002-0279-003X , Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2016) Topic-informed neural machine translation. In: 26th International Conference on Computational Linguistics, 13-16 Dec 2016, Osaka, Japan. (2016)
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Graph-based translation via graph segmentation
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In: Li, Liangyou orcid:0000-0002-0279-003X , Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2016) Graph-based translation via graph segmentation. In: 54th Annual Meeting of the Association for Computational Linguistics, 7-12 Aug 2016, Berlin, Germany. (2016)
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Phrase-level combination of SMT and TM using constrained word lattice
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In: Li, Liangyou orcid:0000-0002-0279-003X , Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2016) Phrase-level combination of SMT and TM using constrained word lattice. In: 54th Annual Meeting of the Association for Computational Linguistics, 7-11 Aug 2016, Berlin, Germany. (2016)
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Dependency graph-to-string translation
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In: Li, Liangyou orcid:0000-0002-0279-003X , Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2015) Dependency graph-to-string translation. In: 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), 17-21 Sept 2015, Lisbon, Portugal. (2015)
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