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Incorporating deep visual features into multiobjective based multi-view search results clustering
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In: Mitra, Sayantan, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Saha, Sriparna and Way, Andy orcid:0000-0001-5736-5930 (2018) Incorporating deep visual features into multiobjective based multi-view search results clustering. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, NM, USA. (2018)
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Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
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A Challenge Set for French --> English Machine Translation ...
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Abstract:
We present a challenge set for French --> English machine translation based on the approach introduced in Isabelle, Cherry and Foster (EMNLP 2017). Such challenge sets are made up of sentences that are expected to be relatively difficult for machines to translate correctly because their most straightforward translations tend to be linguistically divergent. We present here a set of 506 manually constructed French sentences, 307 of which are targeted to the same kinds of structural divergences as in the paper mentioned above. The remaining 199 sentences are designed to test the ability of the systems to correctly translate difficult grammatical words such as prepositions. We report on the results of using this challenge set for testing two different systems, namely Google Translate and DEEPL, each on two different dates (October 2017 and January 2018). All the resulting data are made publicly available. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1806.02725 https://arxiv.org/abs/1806.02725
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Challenges and opportunities of applying natural language processing in business process management
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A Challenge Set Approach to Evaluating Machine Translation ...
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Towards an Automatic Dictation System for Translators: the TransTalk Project ...
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La bi-textualité : vers une nouvelle génération d’aides à la traduction et la terminologie
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Isabelle, Pierre. - : Les Presses de l'Université de Montréal, 1992. : Érudit, 1992
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