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[PDF] Top 20 Akamon: An Open Source Toolkit for Tree/Forest Based Statistical Machine Translation

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Akamon: An Open Source Toolkit for Tree/Forest Based Statistical Machine Translation

Akamon: An Open Source Toolkit for Tree/Forest Based Statistical Machine Translation

... 2005), tree-tree (Ding and Palmer, 2005) and tree/forest-string (Galley et ...promising translation results. Moreover, the tree/forest-string structure is more widely used ... See full document

6

A Tree to String Phrase based Model for Statistical Machine Translation

A Tree to String Phrase based Model for Statistical Machine Translation

... models based on PCFGs can be learned from source-parsed bitext and then applied in the preprocessing ...the translation unit from phrases to tree-to-string align- ment templates (TATs) while ... See full document

8

Parsing-based Machine Translation using an Open Source Toolkit: Joshua for Tamil Language

Parsing-based Machine Translation using an Open Source Toolkit: Joshua for Tamil Language

... parsing-based statistical machine translation ...general-purpose open source toolkit for parsing-based machine translation, serving the same role as ... See full document

5

Jane 2: Open Source Phrase based and Hierarchical Statistical Machine Translation

Jane 2: Open Source Phrase based and Hierarchical Statistical Machine Translation

... an open source toolkit supporting both the phrase-based and the hierarchical phrase-based paradigm for statistical machine ...the translation scores in a more ... See full document

10

Seeding Statistical Machine Translation with Translation Memory Output through Tree Based Structural Alignment

Seeding Statistical Machine Translation with Translation Memory Output through Tree Based Structural Alignment

... adopted open-source SMT sys- tem, both for academic and commercial pur- ...the translation correspond- ing to each segment given as an attribute to the encapsulating XML tag, similarly to the system ... See full document

9

Travatar: A Forest to String Machine Translation Engine based on Tree Transducers

Travatar: A Forest to String Machine Translation Engine based on Tree Transducers

... an open-source tree-to-string or forest-to-string trans- lation system that can be used as a tool for transla- tion using source-side syntax, and as a platform for research into ... See full document

6

Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation

Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation

... The first experiment was the English-to-Japanese (E-J) translation. Table 2 shows the training, de- velopment and test corpus statistics. JST Japanese- English paper abstract corpus consists of 1.0M parallel ... See full document

9

NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation

NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation

... parse tree of source sentence is provided, decoding (for tree-to- string and tree-to-tree models) can also be cast as a tree-parsing problem (Eisner, ...In tree-parsing, ... See full document

6

Dependency Forest for Statistical Machine Translation

Dependency Forest for Statistical Machine Translation

... dependency-based translation systems suffer from a major drawback: they only use 1-best dependency trees for rule extraction, dependency language model training, and decod- ing, which potentially introduces ... See full document

9

Phrasal: A Toolkit for New Directions in Statistical Machine Translation

Phrasal: A Toolkit for New Directions in Statistical Machine Translation

... chine translation (MT) (Koehn et ...of statistical MT ...closed- source, so progress was initially constrained by the high engineering barrier to entry into the ...the translation problem, ... See full document

8

Joshua: An Open Source Toolkit for Parsing Based Machine Translation

Joshua: An Open Source Toolkit for Parsing Based Machine Translation

... an open source toolkit for statistical machine transla- ...The toolkit also implements suffix-array grammar extraction and minimum error rate ...the toolkit achieves state ... See full document

5

OpenNMT: Neural Machine Translation Toolkit

OpenNMT: Neural Machine Translation Toolkit

... Neural machine translation (NMT) is a new methodology for machine translation that has led to remarkable improvements, particularly in terms of human evaluation, compared to rule-based ... See full document

8

A non contiguous Tree Sequence Alignment based Model for Statistical Machine Translation

A non contiguous Tree Sequence Alignment based Model for Statistical Machine Translation

... lence based model is unable to attain the corres- ponding target output for this idiom word via the non-contiguous word alignment and consider it as an out-of-vocabulary ...SncTSSG based model can capture ... See full document

9

Enriching Parallel Corpora for Statistical Machine Translation with Semantic Negation Rephrasing

Enriching Parallel Corpora for Statistical Machine Translation with Semantic Negation Rephrasing

... In order to find out the performance of the baseline and the extended systems on negative sentences, the test data has to be split up into several subsets, most notably neg-strict and pos-strict. The former only contains ... See full document

10

LIMSI @ WMT13

LIMSI @ WMT13

... the translation model (TM), four- teen feature functions are combined: a target- language model; four lexicon models; six lexical- ized reordering models (Tillmann, 2004; Crego et ...next translation unit; ... See full document

8

Statistical machine translation based on translation rules

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

Forced Derivation Tree based Model Training to Statistical Machine Translation

Forced Derivation Tree based Model Training to Statistical Machine Translation

... In the BTG system, the MaxEnt model is used as a binary classifier to predict reordering operations of neighbor translation blocks. As the baseline DM and our FDT-DM have different mechanisms on training instance ... See full document

10

DFKI’s SMT System for WMT 2012

DFKI’s SMT System for WMT 2012

... Vilar et al. (2010b) propose a “syntax-based” ap- proach similar to (Venugopal et al., 2009), but us- ing automatic clustering methods instead of linguis- tic parsing for defining the non-terminals used in the ... See full document

6

From Extractive to Abstractive Summarization: A Journey

From Extractive to Abstractive Summarization: A Journey

... ranked based on ROUGE-1 metric, both Borda and Reciprocal Rank perform better than four of the five systems but couldn’t beat the Greedy- KL ...ranked based on ROUGE-2 and ... See full document

7

A Rule based Shallow transfer Machine Translation System for Scots and English

A Rule based Shallow transfer Machine Translation System for Scots and English

... on translation for as- similation rather than dissemination, it is interesting to see how far away the system is from producing publication- ready ...the source text, translation, and a reference ... See full document

7

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