[PDF] Top 20 LIMSI@WMT’15 : Translation Task
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LIMSI@WMT’15 : Translation Task
... Neural networks, working on top of conventional n-gram back-off language models, have been in- troduced in (Bengio et al., 2003; Schwenk et al., 2006) as a potential means to improve conven- tional language models. As in ... See full document
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Montreal Neural Machine Translation Systems for WMT’15
... machine translation (NMT) systems have recently achieved re- sults comparable to the state of the art on a few translation tasks, including English→French and ...to WMT’15 is to evaluate this ... See full document
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LIMSI Submission for WMT’17 Shared Task on Bandit Learning
... To address these challenges, we propose an adaptation method that relies on two components. First, we use a linear regression model to exploit the weak and partial feedback the system receives by learning to predict the ... See full document
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LIMSI@WMT’17
... shared task at WMT’17 for English into Czech and Latvian, as well as related ...machine translation system with a factored output predicting simultaneously a lemma deco- rated with morphological ... See full document
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LIMSI Submission for the WMT‘13 Quality Estimation Task: an Experiment with N Gram Posteriors
... best translation in the search space, such as its internal scores, have hardly been con- sidered and never proved to be ...difficult task (Platt, 2000; Lin et ... See full document
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LIMSI’s Contribution to the WMT’16 Biomedical Translation Task
... lation models consisting of the phrase ta- ble (PT) and the lexicalized reordering mod- els (msd-bidirectional-fe). We used the WMT’14 medical task parallel data to train ad- ditional models. More ... See full document
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Sheffield Systems for the Finnish English WMT Translation Task
... Our main improvement to the system was based on the idea that there is a need to deal with the highly inflectional nature of Finnish, as the source lan- guage. The fact that Finnish is a morphologically rich language is ... See full document
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CUNI Systems for the Unsupervised News Translation Task in WMT 2019
... In this paper we describe the CUNI transla- tion system used for the unsupervised news shared task of the ACL 2019 Fourth Confer- ence on Machine Translation (WMT19). We follow the strategy of Artetxe et ... See full document
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The University of Illinois submission to the WMT 2015 Shared Translation Task
... Designing the datasets in this way effected that, in the case of alignment for example, both the orig- inal Finnish sentence was aligned with the English as well as the omorfi-processed Finnish sentence. The intuition ... See full document
7
Kriya The SFU System for Translation Task at WMT 12
... non-terminal (2NT) model. In our earlier experi- ments we found the 1NT model to perform com- parably to the 2NT model for close language pairs such as French-English (Sankaran et al., 2012) at the same time resulting in ... See full document
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The KIT LIMSI Translation System for WMT 2014
... These (target and bilingual) neural network models produce scores for each hypothesis in the k-best list; these new features, along with the fea- tures from the baseline system, are then provided to a new phase which ... See full document
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LIMSI @ WMT’14 Medical Translation Task
... of translation examples, selected by deterministic random sampling, are then used by traversing the suffix array ...ent translation probability (Lopez, 2008) (which also takes into account examples where ... See full document
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LIMSI Submission for WMT’14 QE Task
... It must be noted that most of the features we consider rely on models that are part of a ‘clas- sic’ MT system. However their use for predicting translation quality at the word-level is not straight- forward, as ... See full document
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FBK’s Participation to the English to German News Translation Task of WMT 2017
... The NMT architecture consists of 2 LSTM layers both in the encoder and in the decoder. We used LSTM RNNs instead of the GRU RNNs, as they performed better in our preliminary experiments. Our result is hence coherent with ... See full document
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The KIT LIMSI Translation System for WMT 2015
... joint translation system from KIT and LIMSI par- ticipating in the Shared Translation Task of the EMNLP 2015 - Tenth Workshop on Statistical Machine Translation ...n-gram ... See full document
6
UFRGS Participation on the WMT Biomedical Translation Shared Task
... automatic translation integrated with a neural character-based recurrent neural network for model re-ranking and bilingual word embed- dings for out of vocabulary (OOV) ... See full document
5
Johns Hopkins University Submission for WMT News Translation Task
... Our reproduction of Junczys-Dowmunt (2018), follows the example at https://github. com/marian-nmt/marian-examples/ tree/master/wmt2017-transformer, using the same data and similar preprocessing. The data is the parallel ... See full document
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Findings of the WMT 2017 Biomedical Translation Shared Task
... a translation model training, created adaptations of training set- tings for each language pair, and implemented byte pair encoding (BPE) (subword units) in their systems (Wolk and Marasek, ... See full document
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DCU Lingo24 Participation in WMT 2014 Hindi English Translation task
... We employed a source language (Hindi) nor- malisation technique, namely suffix separation, but unfortunately this did not bring about any improvement for the Hindi-to-English translation task. The ... See full document
6
Token level and sequence level loss smoothing for RNN language models
... We present our results in Table 3. On both benchmarks, we improve on both MLE and RAML approach of Norouzi et al. (2016) (Seq, Hamming, V ): using the smaller batch-vocabulary for replacement improves results, and using ... See full document
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