[PDF] Top 20 Neural System Combination for Machine Translation
Has 10000 "Neural System Combination for Machine Translation" found on our website. Below are the top 20 most common "Neural System Combination for Machine Translation".
Neural System Combination for Machine Translation
... NMT system generates the final hypothesis using the ...for system combination and design a good strategy to simulate the real training data for our neural sys- tem ... See full document
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Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... this translation contains gender bias since it ig- nores the fact that, for both cases, “friend” is a female and translates by focusing on the occupa- tional stereotypes, ... See full document
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Lattice based System Combination for Statistical Machine Translation
... the system combination methods based on confusion networks developed rapidly (Bangalore et ...consensus translation can be obtained by selecting one word from each set to maximizing the overall ... See full document
9
Improved Word Level System Combination for Machine Translation
... single system scores on all ...the combination optimized for the corre- sponding ...timized combination has significantly higher BLEU score than the TER optimized ...baseline system which is ... See full document
8
Machine Translation System Combination with Flexible Word Ordering
... One approach to system combination uses con- fusion networks (Rosti et al., 2008; Karakos et al., 2008). In the most common form, a skele- ton sentence is chosen from among the one-best system ... See full document
5
System Description of bjtu nlp Neural Machine Translation System
... our system with unknown word solution, GRUSearch+UNKreplace performed much better than the system without the unknown word solution, ...word translation approach is ... See full document
7
Positive Diversity Tuning for Machine Translation System Combination
... The most widely used machine translation tuning algorithm, minimum error rate training (MERT) (Och, 2003), attempts to maximize the correctness objective directly. Popular alternatives such as pairwise ... See full document
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Local System Voting Feature for Machine Translation System Combination
... of system combinations including one unigram localVote model trained with differ- ent word class sizes are ...size, system combination including a localVote model always performs better com- pared to ... See full document
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Google’s Multilingual Neural Machine Translation System: Enabling Zero Shot Translation
... multilingual system architecture in more ...(zero-shot translation) performs in comparison to explicit bridging ...in machine translation ...new system in action, which provide early ... See full document
14
Boosting Neural Machine Translation
... Anabel Rebollo, Kathy Yang, Jean Senellart, E- gor Akhanov, Patrice Brunelle, Aurelien Coquard, Yongchao Deng, Satoshi Enoue, Chiyo Geiss, Joshua Johanson, Ardas Khalsa, Raoum Khiari, Byeongil Ko, Catherine Kobus, Jean ... See full document
6
N Gram Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
... Arabic is a VSO (SVO in some cases) pro- drop language with rich templatic morphology, where words are made up of roots and affixes and clitics agglutinate to words. For prepro- cessing, a similar approach to that shown ... See full document
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The UPV PRHLT combination system for WMT 2011
... the system combina- tion task of the sixth workshop on statistical machine translation (WMT ...linear combination of the component systems’ prob- ability distributions to search for the ... See full document
5
NAVER Machine Translation System for WAT 2015
... We used 1 million sentence pairs that are con- tained in train-1.txt of ASPEC-JE corpus for training the translation rule tables and NMT models. We also used 3 million Japanese sen- tences that are contained in ... See full document
5
L1 Regularized Regression for Reranking and System Combination in Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexan- dra Constantin, and Evan ... See full document
8
Pre Translation for Neural Machine Translation
... NMT system. The PreMT system performs similar and the PBMT system performs clearly ...NMT system and therefore, finally it even achieves a better ... See full document
9
Confusion Network Based System Combination for Chinese Translation Output: Word Level or Character Level?
... statistical machine translation (SMT), and found that a system which relied on characters performed slightly worse than when it used segmented words (Xu et ...Chinese translation output (Li et ... See full document
8
OpenNMT: Neural Machine Translation Toolkit
... released, including GroundHog, Blocks, Nematus, tensorflow-seq2seq, GNMT, fair-seq, Ten- sor2Tensor, Sockeye, Neural Monkey, lamtram, XNMT, SGNMT, and Marian. These projects mostly implement variants of the same ... See full document
8
Machine Translation System Combination by Confusion Forest
... consensus translation in which a phrasal translation table is constructed from the MT outputs aligned with an input source ...new translation is generated from the merged forest, not from the input ... See full document
9
RegMT System for Machine Translation, System Combination, and Evaluation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Con- stantin, and Evan ... See full document
7
Boosting Based System Combination for Machine Translation
... diversified translation systems from a single Statistical Machine Translation (SMT) engine for system ...weak translation systems is gener- ated from a baseline system in an ... See full document
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