[PDF] Top 20 Joint Optimization for Machine Translation System Combination
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Joint Optimization for Machine Translation System Combination
... At a certain point a path will reach the end, i.e., no more states can be generated from it according to the state expansion requirement. Then it is marked as a finished path. However, sometimes the state may contain a ... See full document
10
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
Meta level Statistical Machine Translation
... While these results are very encouraging, we must investigate why this approach is helpful. We find that two factors possibly contribute to these results. first, performing cross-validation on the training set; second, ... See full document
7
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
9
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
A Framework for Machine Translation Output Combination
... statistical machine translation system using MOSES [9] trained by the IWSLT07 data is used to determine the alignments between source and target ... See full document
10
Confusion Network Based System Combination for Chinese Translation Output: Word Level or Character Level?
... Chinese translation evaluation (Li et al., 2011). To measure the translation performance of word-level combination system and character-level combination system, several ... See full document
8
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
Jointly Learning to Embed and Predict with Multiple Languages
... strong Machine Translation (MT) baseline used by Her- mann and Blunsom (2014) (which translates the input documents to English with a state-of-the- art MT system) and with their two strongest sys- ... See full document
10
Optimization for Statistical Machine Translation: A Survey
... for machine learning can be applied to MT as well, with one major ...a system optimized using a standard linear model is used to create a k-best list of outputs, and this k-best list is then reranked using ... See full document
54
Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
... other system in the manual evaluation of the given language ...metric system level scores on the com- plete WMT10 test set for each language pair, us- ing Spearman’s ρ rank correlation ... See full document
37
Hierarchical Phrase Table Combination for Machine Translation
... make translation sys- tems perform better for resource-scarce domain- s when most training data comes from resource- rich domains, and ignore performance on a more generic domain without domain bias (Wang et ... See full document
9
A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
... z Comparing Tables 3 and 4, we can see that the intersection word alignment-based expansion method improves the performance in all the dev and test sets for both tasks by 0.2-0.57 BLEU- score and the improvements are ... See full document
8
Selective Combination of Pivot and Direct Statistical Machine Translation Models
... To achieve this goal, we investigate the idea of classifying the pivot phrase pairs into five differ- ent classes based on the existence of source and/or target phrases in the direct model. The first class contains the ... See full document
7
Integration of Reduplicated Multiword Expressions and Named Entities in a Phrase Based Statistical Machine Translation System
... The system automatically learns mappings from the bilingual training set of 20,000 ...Modified Joint Source Channel Model for transliteration (Ekbal ... See full document
9
RegMT System for Machine Translation, System Combination, and Evaluation
... the system com- bination task for the English-German, German- English, English-Spanish, and Spanish-English lan- guage pairs using the training corpus provided in WMT’11 (Callison-Burch et ...the system ... See full document
7
Machine Translation System Combination with Flexible Word Ordering
... bining machine translations produced by different systems given the same ...follow system outputs in sentence order, switching between systems mid-sentence to produce a combined ...English system. ... See full document
5
Boosting Based System Combination for Machine Translation
... the system generated by the boosting- based system ...phrase-based system, the Hiero system and the syntax-based system, ...boosting-based system combination seems to be ... See full document
10
Machine Translation System Combination by Confusion Forest
... state-of-the-art system combination method for machine translation (MT) is based on confusion networks constructed by aligning hypotheses with regard to word ...novel system ... See full document
9
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