[PDF] Top 20 Statistical Machine Translation by Parsing
Has 10000 "Statistical Machine Translation by Parsing" found on our website. Below are the top 20 most common "Statistical Machine Translation by Parsing".
Statistical Machine Translation by Parsing
... To the best of our knowledge, Logic CT is the first published translation logic to be compatible with all of the semirings catalogued by Goodman (1999), among others. It is also the first to simultaneously ... See full document
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A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing
... spired by the probabilistic forest-to-string gener- ation algorithm (Lu and Ng, 2011) and the work of Wong and Mooney (2006; 2007a; 2007b) and Wong (2007) that learn for semantic parsing with statistical ... See full document
6
Post ordering by Parsing for Japanese English Statistical Machine Translation
... This paper employs the post-ordering framework for Japanese-English translation based on the dis- cussions given in Section 2, and improves upon the reordering method. Our method uses syntactic struc- tures, which ... See full document
6
Improving Statistical Machine Translation with Processing Shallow Parsing
... phrase translation is selected, and the target phrases are arranged in some order to produce the target ...possible translation can- didates created in this way is scored according to a weighted linear ... See full document
7
Using unlabeled dependency parsing for pre reordering for Chinese to Japanese statistical machine translation
... The most related work to ours is in (Han et al., 2012), in which the authors introduced a refined reordering approach by importing an existing re- ordering method for English proposed in (Isozaki et al., 2010b). These ... See full document
9
Non Projective Parsing for Statistical Machine Translation
... of the source-language string. As one set of exam- ples, consider the translations in figure 3, and the example given in the introduction. These exam- ples involve reordering of arguments and adjuncts within clauses, a ... See full document
10
Learning for Semantic Parsing with Statistical Machine Translation
... semantic parsing, which is the con- struction of a complete, formal, symbolic, mean- ing representation (MR) of a ...tic parsing has found its way in practical applica- tions such as natural-language (NL) ... See full document
8
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... dependency parsing) drops the results because of the sparseness effect over the dataset, which is consistent with the automatic evaluation BLEU ...online translation service provided by ...reference ... See full document
10
Language to Code: Learning Semantic Parsers for If This Then That Recipes
... semantic parsing as phrasal ...conventional statistical machine translation sys- tem that is similar in structure and performance to Moses (Koehn et ... See full document
11
Stacking for Statistical Machine Translation
... in statistical parsing: Nivre and McDonald (2008) integrated two models for dependency parsing by letting one model learn from features generated by the other; ...for statistical ... See full document
6
Quadratic Time Dependency Parsing for Machine Translation
... high-end statistical machine translation, there are many alternative parsing al- gorithms that have seldom been explored in the machine translation ...The parsing liter- ... See full document
9
Unsupervised Statistical Machine Translation
... most machine translation research has focused on resource-rich settings where NMT has indeed superseded SMT, a recent line of work has managed to train an NMT system without any supervision, relying on ... See full document
11
A Statistical Approach to Machine Translation
... Although the interaction of these two factors can be quite profound, it may help the reader to think o f the translation probability as suggesting words from the source language t h at m[r] ... See full document
7
ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
... The statistics for the ParFDA selected training data and the available training data for the con- strained translation task are given in Table 1. For en and fr, we have access to the LDC Gigaword corpora (Parker ... See full document
5
The Geometry of Statistical Machine Translation
... Most modern statistical machine translation systems are based on linear statistical models. One extremely effective method for estimating the model parameters is minimum error rate training ... See full document
11
Improving Pronoun Translation for Statistical Machine Translation
... subsequent translation into Czech is achieved using two phrase-based translation sys- ...reference) translation of the head of its English ... See full document
10
Statistical machine translation based on translation rules
... Statistical machine translation is also called data-driven translation in which leaning technology is automatically ...rule-based machine translation uses rules to express ... See full document
8
Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi Task Learning Approach
... semantic parsing task. Semantic parsing encourages a precise understanding of the source text, which would then be useful for con- veying the correct meaning to the ...example translation, showing ... See full document
10
NAVER Machine Translation System for WAT 2015
... Neural machine translation (NMT) is a new ap- proach to machine translation that has shown promising results compared to the existing ap- proaches such as phrase-based statistical ... See full document
5
Meta level Statistical Machine Translation
... to translation error modification by build- ing a meta-level SMT using a meta-level corpus that is created form original corpus by cross vali- ...many translation errors that occur in the baseline ... See full document
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