[PDF] Top 20 Data Preparation for Syntactic Translation
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Data Preparation for Syntactic Translation
... 1965 International Conference on Computational Linguistics DATA PREPARATION FOR SYNTACTIC TRANSLATION 27 1 9 6 5 I n t e r n a t i o n a l C o n f e r e n c e on Computational Linguistics DATA PREPARA[.] ... See full document
37
Syntactic Category Prediction for Improving Translation Quality in English-Korean Machine Translation
... training data using the Penn Treebank ...predicted syntactic category is used to identify segment relationships and select the parse trees for the analyzed ...proposed syntactic category prediction ... See full document
8
Soft Syntactic Constraints for Hierarchical Phrased Based Translation
... the data-driven side, adding syntax, is taken by Riezler and Maxwell ...relax syntactic con- straints by adding a “fragment grammar” for un- parsable ... See full document
9
Arabic morpho syntactic feature disambiguation in a translation context
... Arabic words are often ambiguous in their morphological analysis. This is due to Arabic’s rich system of affixation and clitics and the omission of disambiguating short vowels. The problem is that many words have ... See full document
5
Neural Machine Translation by Minimising the Bayes risk with Respect to Syntactic Translation Lattices
... To address these challenges, we use a special loss function which is computationally tractable as it avoids using NMT scores for risk calculation. We show how to reformulate the original LMBR decision rule for using it ... See full document
7
Soft Syntactic Constraints for Hierarchical Phrase Based Translation Using Latent Syntactic Distributions
... hard syntactic constraint requires that the nonterminals should match exactly to rewrite with a rule, which could rule out poten- tially correct derivations due to errors in the syn- tactic parses as well as to ... See full document
10
Chinese Syntactic Reordering for Statistical Machine Translation
... Syntactic reordering approaches are an ef- fective method for handling word-order dif- ferences between source and target lan- guages in statistical machine translation (SMT) systems. This paper introduces ... See full document
9
Syntactic Re Alignment Models for Machine Translation
... same data set for the GIZA++ initial alignment as is used in the re-alignment, while an experiment on better quality bootstrap alignments uses a much larger data ...the translation model, converged ... See full document
9
A Discriminative Syntactic Word Order Model for Machine Translation
... treelet translation model with other feature functions — a target language model, a tree order model, lexical weighting features to smooth the translation prob- abilities, word count feature, and ... See full document
8
Tree as a Pivot: Syntactic Matching Methods in Pivot Translation
... the translation accuracy through pivot translation experiments on the United Nations Par- allel Corpus (UN6Way) (Ziemski et ...includes data in English (En), Arabic (Ar), Spanish (Es), French (Fr), ... See full document
9
CCG Syntactic Reordering Models for Phrase based Machine Translation
... recursive syntactic processing with this regime, because not all intermediate strings considered by the decoder would even have a syntac- tic category to ...from data sparsity and fail to capture more ... See full document
12
Artificial Error Generation with Machine Translation and Syntactic Patterns
... for each of the systems using artificial data was significant over using only manual annotation. In addition, the final combination system is also sig- nificantly better compared to the Felice and Yuan (2014) ... See full document
6
Transferring Semantic Roles Using Translation and Syntactic Information
... unlabeled data (in our case, fill in missing SRL decisions) and adds that data to the labeled data for further ...labeled data) instead of only labeling unlabeled raw ...labeled data ... See full document
7
Handling Syntactic Divergence in Low resource Machine Translation
... While neural machine translation (NMT; Bah- danau et al. (2015); Vaswani et al. (2017)) now represents the state of the art in the majority of large-scale MT benchmarks (Bojar et al., 2017), it is highly dependent ... See full document
7
Travatar: A Forest to String Machine Translation Engine based on Tree Transducers
... uses syntactic information to improve alignment accuracy (Riesa and Marcu, ...aligned data provided with the KFTT, and found that GIZA++ achieves ...to translation accuracy, we found that for ... See full document
6
Filtering Syntactic Constraints for Statistical Machine Translation
... Thirdly, given the parse trees and the align- ment information, we label each node as a fron- tier node or an interior node according to the definition introduced in this section. Using the labeled nodes as training ... See full document
5
Improving Phrase based Statistical Myanmar to English Machine Translation with Morphological Analysis
... training data, the system is unable to translate ...Therefore, translation model used syntactic structure and morphological analysis of Myanmar language to improve in translation direction and ... See full document
7
A New Syntactic Metric for Evaluation of Machine Translation
... input data. The experiments conducted so far show that using the data made available at the NAACL 2012 WMT workshop, CESM correlates well with the human judgments at the system ... See full document
6
Predicting Pronoun Translation Using Syntactic, Morphological and Contextual Features from Parallel Data
... of syntactic features (columns M+C in Table 3) seems to have a rather small impact in the final ...The syntactic fea- tures are motivated in the salience hierarchies es- tablished within linguistic theories ... See full document
8
Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation
... training data and development sets released by the LDC, and made available to the DARPA GALE and BOLT ...the translation model on 100 million words of parallel ...monolingual data to train two ... See full document
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