[PDF] Top 20 Statistical Machine Translation with a Factorized Grammar
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Statistical Machine Translation with a Factorized Grammar
... the grammar con- struction field already showed us a perfect solution to a similar ...English Grammar (XTAG-Group, 2001), a hand-crafted grammar based on the Tree Adjoin- ing Grammar (TAG) ... See full document
10
Statistical machine translation based on translation rules
... Machine translation is to translate one natural language into another by ...to translation knowledge[1]. Today, machine translation is still one of the most difficult decision problems ... See full document
8
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... augmented statistical machine translation model from Bulgarian to English, which combines a statistical machine translation (SMT) system (as backbone) with deep lin- guistic ... See full document
10
Statistical Machine Translation by Parsing
... Figure 7 is only an architecture. Computational complexity and generalization error stand in the way of its practical implementation. Nevertheless, it is satisfying to note that all the non-trivial algo- rithms in Figure ... See full document
8
Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
... a machine translation task, where an SCFG is used to model the translation of an NL into a formal meaning-representation lan- guage ...uses statistical models developed for syntax-based SMT ... See full document
8
Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
... Syntax-based statistical machine transla- tion (MT) aims at applying statistical models to structured ...syntax-based statistical ma- chine translation system based on a prob- abilistic ... See full document
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Word Sense Disambiguation Improves Statistical Machine Translation
... In this paper, we successfully integrate a state- of-the-art WSD system into the state-of-the-art hi- erarchical phrase-based MT system, Hiero (Chiang, 2005). The integration is accomplished by introduc- ing two ... See full document
8
On Statistical Machine Translation and Translation Theory
... The cross-linguistic relation defined by word alignments is a sort of translational equivalence re- lation. It maps linguistic elements of the SL to ele- ments of the TL that are presumed to have the same meaning, or ... See full document
5
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... Paninian grammar. Another common technique for MT is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based ... See full document
8
Enhancing Machine Translation Using Graph Approach
... Adjoining Grammar (STAG) formalism can be used to represent both English and Tamil ...the statistical parser which can demonstrate the right parse from the erroneous ... See full document
5
Automated Grammar Correction Using Hierarchical Phrase Based Statistical Machine Translation
... phrase-based statistical ma- chine translation (SMT) for grammar cor- ...Thus grammar correction can be considered a translation problem from incorrect text to correct ...years, ... See full document
5
Hierarchical Machine Translation With Discontinuous Phrases
... hierarchical statistical ma- chine translation system which supports discontinuous ...sive translation models such as SLCFRS and show a modest improvement over a context-free ... See full document
11
Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine Translation
... the grammar checker for SMT it is useful to know on which categories the grammar checker produces good results and good correction suggestions for SMT out- ...2007). Machine translation output ... See full document
7
Language to Code: Learning Semantic Parsers for If This Then That Recipes
... As a baseline, we adopt a recent approach (An- dreas et al., 2013) that casts semantic parsing as phrasal translation. First, the ASTs are converted into flat sequences of code tokens using a pre-order ... See full document
11
Dependency Based Bracketing Transduction Grammar for Statistical Machine Translation
... tion grammar for statistical machine translation, which converts a source sen- tence into a target dependency ...duction grammar models, we encode tar- get dependency information into ... See full document
9
Grammar Comparison Study for Translational Equivalence Modeling and Statistical Machine Translation
... The fundamental assumption underlying much recent work on syntax-based modeling, which is considered to be one of next technology break- throughs in SMT, is that translational equiva- lence can be well modeled by ... See full document
8
The Geometry of Statistical Machine Translation
... One avenue of SMT research has been to add as many features as possible to the linear model, es- pecially in the form of sparse features (Chiang et al., 2009; Hopkins and May, 2011; Cherry and Fos- ter, 2012; Gimpel and ... See full document
11
Stacking for Statistical Machine Translation
... of statistical machine transla- tion models where each member of the ensemble has different feature function values for the SMT log-linear model (Koehn, ... See full document
6
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
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
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