[PDF] Top 20 OpenNMT: Open Source Toolkit for Neural Machine Translation
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OpenNMT: Open Source Toolkit for Neural Machine Translation
... Embeddings OpenNMT includes tools for simplifying the process of using pretrained word embeddings, even allowing automatic down- load of embeddings for many ...Additionally OpenNMT can export the word ... See full document
6
OpenNMT: Neural Machine Translation Toolkit
... an open-source toolkit for developing neural machine translation systems, known as OpenNMT ...2016, OpenNMT has become a collection of implementations targeting ... See full document
8
CytonMT: an Efficient Neural Machine Translation Open source Toolkit Implemented in C++
... The toolkit consists of a general purpose neural network library, and a neural machine translation system built upon the ...The neural network library defines a class named ... See full document
6
INMT: Interactive Neural Machine Translation Prediction
... the toolkit and still keeping the interac- tion ...using OpenNMT as our translation backend is that it is highly efficient, modular, extensible and well doc- ... See full document
6
The Sockeye Neural Machine Translation Toolkit at AMTA 2018
... popular open-source toolkits on two language directions: English into German (EN → DE) and Latvian into English ...on Machine Translation [Bojar et al., 2017]. We ran each toolkit in a ... See full document
8
LeafNATS: An Open Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
... this toolkit, we implement an end-to- end training framework that can minimize the ef- fort in writing codes for training/evaluation proce- dures, so that users can focus on building models and ... See full document
6
Parsing-based Machine Translation using an Open Source Toolkit: Joshua for Tamil Language
... whose source-to-target length ratio is within one standard deviation of the average, if any n- gram found in the source sentence is also found in W with a count of less than k, the sentence is ...the ... See full document
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Akamon: An Open Source Toolkit for Tree/Forest Based Statistical Machine Translation
... an open source toolkit for tree and forest-based statistical machine translation (Liu et ...tree-to-string translation rule ex- traction, the toolkit implements the tradi- ... See full document
6
Low Resource Corpus Filtering Using Multilingual Sentence Embeddings
... the open source release 6 of the Zipporah tool without ...(probabilistic translation dic- tionaries and language models) were trained on the provided clean data (excluding the dictionar- ...lexical ... See full document
6
Neural Machine Translation with Source Dependency Representation
... Statistical Machine Translation (PBSMT) implemented in Moses (Koehn et ...only source word representation is ...Nematus toolkit 4 (Sennrich et ... See full document
7
Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit
... as open-source C++ code (Graves, ...many machine learning algorithms including LSTM-RNN has been introduced by Schaul et ...the source code is not ... See full document
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Joshua: An Open Source Toolkit for Parsing Based Machine Translation
... In addition to the distributed LM mentioned above, we implement three local n-gram language models. Specifically, we first provide a straightfor- ward implementation of the n-gram scoring func- tion in Java. This Java ... See full document
5
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
6
Encoding Source Language with Convolutional Neural Network for Machine Translation
... the source language. Our model covers the entire source sentence, but can effectively find and properly summa- rize the relevant parts, guided by the informa- tion from the target ...a source ... See full document
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Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... The quality of the translation also depends on the professions from the Occupations test and its predicted gender. Again, the system has no prob- lem predicting the gender of professions in the context of “him”, ... See full document
8
Neural Machine Translation with Source Side Latent Graph Parsing
... statistical machine translation systems (Neubig and Duh, 2014; Yamada and Knight, ...the translation task, thereby providing a first step towards addressing ambiguous syntactic and semantic problems, ... See full document
11
Unsupervised Source Hierarchies for Low Resource Neural Machine Translation
... jecting source syntax into NMT requires parsing the training data with an external parser, and such parsers may be unavailable for low-resource lan- ...syntactic source information may improve low-resource ... See full document
7
Incorporating Source Syntax into Transformer Based Neural Machine Translation
... parsing results. Overall, Romance, Germanic, and Hellenic target language systems generate the fewest valid parses. This indicates that Baltic, Slavic, and Uralic target languages are most help- ful in learning to parse ... See full document
10
Exploiting Source side Monolingual Data in Neural Machine Translation
... of source-side monolingual data in con- ventional SMT with a self-learning ...more translation rules in SMT and we also adapt a multi-task learning framework to take full advantage of the source-side ... See full document
11
Target Foresight Based Attention for Neural Machine Translation
... Table 1 lists the speeds and performances of the proposed models. Clearly the proposed approach improves the translation quality in all cases, although there are still considerable differences among the proposed ... See full document
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