[PDF] Top 20 Joshua: An Open Source Toolkit for Parsing Based Machine Translation
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Joshua: An Open Source Toolkit for Parsing Based Machine Translation
... Extensibility: The Joshua code is organized into separate packages for each major aspect of functionality. In this way it is clear which files contribute to a given functionality and researchers can focus on a ... See full document
5
Parsing-based Machine Translation using an Open Source Toolkit: Joshua for Tamil Language
... scale parsing-based statistical machine translation ...that Joshua, a general-purpose open source toolkit for parsing-based machine ... See full document
5
Joshua 2 0: A Toolkit for Parsing Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies
... on Joshua (Li et al., 2009a), an open source toolkit for parsing based machine ...for translation gram- mars with a rich set of syntactic nonter- minals, the ... See full document
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Akamon: An Open Source Toolkit for Tree/Forest Based Statistical Machine Translation
... a source sentence in syntax-based ...a translation rule by exploiting the fine-grained syntactic description in the source parse tree/forest, as well as those in the translation ... See full document
6
Better Evaluation Metrics Lead to Better Machine Translation
... tuning Joshua, a hierarchical phrase-based statistical machine translation system, with the TESLA metrics results in significantly better human- judged translation quality than the ... See full document
10
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
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Joshua 3 0: Syntax based Machine Translation with the Thrax Grammar Extractor
... The main focus of this paper is to describe this past year’s work in developing Thrax (Weese, 2011), an open-source grammar extractor for Hiero and SAMT grammars. Grammar extraction has shown itself to be ... See full document
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NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation
... the toolkit in C++ language, with special consideration of extensibility and ...efficient translation engines which have high running speed for both training and decoding ... See full document
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OpenNMT: Open Source Toolkit for Neural Machine Translation
... the source RNN with a deep convolution over the source ...also open-sourced as ...system based on the work of Chan et ...the source encoder with a Pyrimidal source ... See full document
6
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 principled ... See full document
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Semantic Parsing as Machine Translation
... Dataset We conduct experiments on the Geo- Query data set. The corpus consists of a set of 880 natural-language questions about U.S. geog- raphy in four languages (English, German, Greek and Thai), and their ... See full document
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Statistical Machine Translation by Parsing
... A translation lexi- con (weighted or not) can be viewed as a degenerate MTG (not in GCNF) where every production has a link of terminals on the ...that parsing under an expec- tation semiring is equivalent ... See full document
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Constituent Boundary Parsing for Example Based Machine Translation
... Constituent Boundary Parsing for Example Based Machine Translation Constituent lloundary Parsing for Exanll)lo lkised Maclhine Tr,'inslation O s a m u FUI,~I JSF a n d l l i t o s h i [ I D A A T R I[.] ... See full document
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pke: an open source python based keyphrase extraction toolkit
... an open source python-based keyphrase extraction toolkit that provides an end-to- end pipeline in which each component can be easily modified to develop new ...this toolkit will help ... See full document
5
XNMT: The eXtensible Neural Machine Translation Toolkit
... As may be evident from the example, this greatly helps extensibility for two reasons: (1) there is no passing along of command line arguments or parsing of complex argument types nec- essary. Instead, objects are ... See full document
8
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... Urdu ranks 19th among 7,105 languages spoken in the world [1]. This is mostly spoken in the South Asia and in some parts of the Western world. Urdu is the national language of Pakistan. It is used as the medium of ... See full document
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Learning for Semantic Parsing with Statistical Machine Translation
... NL sentences and their MRs in the training set. By defining a mapping of words from one language to another, word alignments define a bilingual lexicon. Using word alignments to induce a lexicon is not a new idea (Och ... See full document
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A Domain Restricted, Rule Based, English Hindi Machine Translation System Based on Dependency Parsing
... In this stage, words are inflected depending on the sur- rounding words. In the earlier stages, transitive fea- ture transfer between words has already been done. Now all the inflection related information is available ... See full document
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Overview of open source augmented reality toolkit
... Augmented reality or also known as AR is not a new technology. The technology has existed for almost 40 years ago after Ivan Sutherland introduced the first virtual reality (VR) application. At that time, works and ... See full document
6
An Open Source Toolkit for Quantitative Historical Linguistics
... LingPy offers implementations for many dif- ferent approaches to pairwise and multiple pho- netic alignment. Among these, there are stan- dard approaches that are directly taken from evo- lutionary biology and can be ... See full document
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