[PDF] Top 20 CUNI System for WMT17 Automatic Post Editing Task
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CUNI System for WMT17 Automatic Post Editing Task
... All data-driven approaches to MT suffer in qual- ity when translating rare words (including words not seen during training at all) and NMT is no ex- ception. In out neural approach to APE, we would still like our APE ... See full document
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LIG CRIStAL Submission for the WMT 2017 Automatic Post Editing Task
... It has become quite common for human translators to use machine translation (MT) as a first step, and then to manually post-edit the translation hypoth- esis. This can result in a significant gain of time, ... See full document
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USAAR SAPE: An English–Spanish Statistical Automatic Post Editing System
... Spanish Automatic Post-Editing (APE) system submitted to the APE Task orga- nized in the Workshop on Statistical Ma- chine Translation (WMT) in ...Our system was able to improve ... See full document
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Learning to Copy for Automatic Post Editing
... Automatic post-editing (APE), which aims to correct errors in the output of machine trans- lation systems in a post-processing step, is an important task in natural language ...and ... See full document
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A Transformer Based Multi Source Automatic Post Editing System
... Exploiting source information in multi-source neural APE can be configured either by using a single encoder that encodes the concatenation of src and mt (Niehues et al., 2016) or by us- ing two separate encoders for src ... See full document
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The AMU UEdin Submission to the WMT 2017 Shared Task on Automatic Post Editing
... MT system using data from the WMT2016 shared task on IT ...This system is used to translate it’s own training data into ...MT system to translate from correct German to imperfect German MT ... See full document
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The FBK Participation in the WMT 2016 Automatic Post editing Shared Task
... APE system fur- ther incorporates a quality estimation (QE) model, which aims to select the best trans- lation between the MT output and the automatic ...shared task results, our primary and con- ... See full document
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Effort Aware Neural Automatic Post Editing
... shared task, our submission focuses on addressing the “over-correction” problem in ...APE system tends to rephrase an already correct MT output, and the resulting sentence is penalized by a reference-based ... See full document
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Findings of the WMT 2018 Shared Task on Automatic Post Editing
... “TER (pe+ref)”) and 3.22 BLEU points (from 62.99 to 66.21). Interestingly, except for one sys- tem, all the results show larger variations when computed with “BLEU (pe+ref)”, with a differ- ence of 0.97 TER points (from ... See full document
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Unbabel’s Submission to the WMT2019 APE Shared Task: BERT Based Encoder Decoder for Automatic Post Editing
... Shared Task for the English-German language ...perform Automatic Post-Editing in an encoder-decoder ...APE system to perform fewer ...BED system with the conservative- ness ... See full document
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Multi source Neural Automatic Post Editing: FBK’s participation in the WMT 2017 APE shared task
... Jointly learning from both source and transla- tion has been previously proved to be effective in (B´echara et al., 2011; Chatterjee et al., 2015b). Such works, however, exploit the idea of a “joint representation” of ... See full document
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A Three Layer Architecture for Automatic Post Editing System Using Rule Based Paradigm
... Our evaluation is based on eight test sets extracted from certain bilingual websites. Randomly se- lected, test sentences cover different domains such as art, medicine, economics and news. The direc- tion of translation ... See full document
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Multi encoder Transformer Network for Automatic Post Editing
... shared task on Automatic Post-Editing ...end-to-end post-editing model based on the transformer ...the post- edited translation in APE problem. Experi- ments on ... See full document
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A Neural Network based Approach to Automatic Post Editing
... danau et al. (2014), we use LSTMs rather than GRUs as hidden units. RNNs allow process- ing of arbitrary length sequences, however, they are susceptible to the problem of vanishing and exploding gradients (Bengio et al., ... See full document
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Statistical Phrase Based Post Editing
... the post-editing process itself, at least as far as “repetitive errors” are ...automated post-editing (APE) sys- tem, which would automatically learn post-editing rules from a ... See full document
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MS UEdin Submission to the WMT2018 APE Shared Task: Dual Source Transformer for Automatic Post Editing
... Based on the overall weak performance for the neural sub-task, we feel justified in not investing much time into that particular sub-task. We hy- pothesize that if the same amount of effort had been put ... See full document
5
The FBK Participation in the WMT15 Automatic Post editing Shared Task
... translation system is trained using Moses, it generates translation model consisting of default dense features like phrase translation prob- ability (direct and indirect) and lexical translation probability ... See full document
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CUNI System for WMT16 Automatic Post Editing and Multimodal Translation Tasks
... The deep learning models’ ability to learn a dense representation of the input in the form of a real-valued vector recently allowed researchers to combine machine vision and natural language processing into tasks ... See full document
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Automatic Post Editing for the DiscoMT Pronoun Translation Task
... Subject-position pronouns are those that partici- pate in an nsubj or nsubjpass dependency relation. The next step is to determine the function of each instance of “it”. NADA (Bergsma and Yarowsky, 2011) is used as it ... See full document
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CUNI Experiments for WMT17 Metrics Task
... rate automatic evaluation of the translation quality became ...MT system outputs still holds as the most reliable form of evaluation, the high cost of human evaluation together with the amount of time ... See full document
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