[PDF] Top 20 Findings of the Third Workshop on Neural Generation and Translation
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Findings of the Third Workshop on Neural Generation and Translation
... Four teams, Team EdiNLG, Team FIT-Monash, Team Microsoft, Team Naver Labs Europe, and Team SYSTRAN-AI participated in the shared task. We note the common trends across many teams and discuss the systems of individual ... See full document
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Proceedings of the 3rd Workshop on Neural Generation and Translation
... the Third Workshop on Neural Generation and ...This workshop aims to cultivate research on the leading edge in neural machine translation and other aspects of machine ... See full document
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Proceedings of the Third Workshop on Discourse in Machine Translation
... Machine Translation (WMT 2016), and then again at this year’s Third Workshop on Discourse in Machine Translation (DiscoMT 2017), held in Copenhagen, Denmark, in conjunction to ...the ... See full document
12
Findings of the Third Shared Task on Multimodal Machine Translation
... 10-best translation candidates of German-Czech, French-Czech and English-Czech neural MT systems and then re-ranks them using the same multimodal cross-lingual WSD model as in Task ...The third ... See full document
20
Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
... To minimize the amount of data that is of poor quality, we placed two requirements that must be satisfied by any worker before completing any of our tasks. First, we required that a worker have an existing approval ... See full document
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Findings of the 2012 Workshop on Statistical Machine Translation
... as Neural Networks, Par- tial Least Squares Regression, or multivariate adap- tive regression splines, but their performance does not suggest they are strong candidates for learning highly-performing ... See full document
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Findings of the 2015 Workshop on Statistical Machine Translation
... deep neural network architectures (word embeddings and con- tinuous space language models by SHEFF-NN) and those based on pseudo-references (n-gram overlap and agreement features by ... See full document
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Evidence translation in a youth mental health service: clinician perspectives
... 2001). Findings from primary research studies (i.e., first-generation knowledge) are synthesized to create translation products containing clinically relevant recommen- dations, such as systematic ... See full document
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Proceedings of the 2nd Workshop on Neural Machine Translation and Generation
... Poster Session A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems Inigo Jauregi Unanue, Ehsan Zare Borzeshi and Massimo Piccardi Iterative Back-Tran[r] ... See full document
12
Findings of the Second Workshop on Neural Machine Translation and Generation
... actual translation model, a recurrent neural network-based model trained using OpenNMT, and a self-attentional model trained using Marian, finally submitting the self-attentional model using Marian as their ... See full document
10
Evaluation without references: IBM1 scores as evaluation metrics
... using reference translation, the problem of evalu- ating translation quality (e.g., completeness, order- ing, domain fit, etc.) is transformed into a kind of paraphrase evaluation in the target language, ... See full document
5
The Influence of Chinese and Western Culture on English-Chinese Translation
... the translation activity has the phenomenon of "lack of ...the translation methods and strategies used in the translation activities of the translator with different cultural background, and ... See full document
6
Translating Implicit Discourse Connectives Based on Cross lingual Annotation and Alignment
... As for Chinese discourse relations and transla- tion, Tu et al. (2013) employ a RST-based dis- course parsing approaches in SMT, in their fol- lowing work (Tu et al. 2014), they also present a tree-string model on ... See full document
6
<p>Structural Requirements of the Third-Generation University: The Case of Medical Sciences Universities in Iran</p>
... The third-generation university model development is a reality that is essential for all universities around the world, but most existing models face the problem of scarce resources ( fi nancial, human ... See full document
8
Biologically motivated circuits for third generation neural networks
... Artificial neural networks, more commonly referred to simply as neural networks, are computational devices which are inspired by, and attempt to emulate, the operation of biological neural ...solved. ... See full document
149
Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation (SSST 3) at NAACL HLT 2009
... We were honored to have Alfred V. Aho deliver this year’s invited keynote talk. Along with Lewis and Stearns’ (1968) seminal “Syntax-directed transduction” introducing syntax-directed transduction grammars or SDTGs—to ... See full document
12
Reconstructing ethnicity and identity : the influence of second generation Turkish Cypriot and Pakistani women in London
... What the findings of the research demonstrate is that second and third generation Turkish Cypriots and Pakistanis, such as the women interviewed, are in the process of actively creating [r] ... See full document
284
Proceedings of the Third Workshop on Metaphor in NLP
... year’s workshop is the third Metaphor in NLP workshop, following the first workshop held at NAACL 2013 and the second workshop held at ACL ...2014 workshop, along with ... See full document
12
Computing with spiking neuron networks a review
... This system restricts spiking neural networks to a feed forward model where the neurons are organized into layers [67]. These layers are connected to the previous and next layers by edges, but they are not ... See full document
21
Title Index: Volumes 6 19
... 142: 3-14 Text Generation, from Proceedings of the Workshop on Applied Computational Linguistics in Perspective Mann, William Chair 82: 62-69 Text-Translation Alignment Kay, Martin and R[r] ... See full document
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