[PDF] Top 20 An Interactive Machine Translation System with Online Learning
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An Interactive Machine Translation System with Online Learning
... batch learning paradigm. In the batch learning paradigm, the train- ing of the IMT system and the interactive transla- tion process are carried out in separate ...IMT system. In this ... See full document
6
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
... Decision trees are merely one form of classifier that could be used for the automated evaluation of an MT system. In preliminary experiments, the accuracy of classifiers using support vector machines (SVMs) ... See full document
8
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation
... Finally, we hope that our analysis motivates fur- ther work in which the idea of learning from weak feedback is taken a step further. For example, our results could perhaps be strengthened by ap- plying richer ... See full document
11
Adaptive Language and Translation Models for Interactive Machine Translation
... an interactive machine translation (IMT) system (Foster et ...The system uses a transla- tion engine to propose the words or phrases which it judges the most probable to be immediately ... See full document
8
Interactive Attention for Neural Machine Translation
... However, conventional attention model is conducted on the representation of source sentence (fixed af- ter generated) only with reading operation (Bahdanau et al., 2015; Luong et al., 2015a). This may let the decoder ... See full document
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INMT: Interactive Neural Machine Translation Prediction
... gist. Interactive Trans- lation started off with TransType (Langlais et ...rule-based translation system. With the introduction of Statistical Machine Trans- lation, it became easier to ... See full document
6
Interactive Machine Translation using Hierarchical Translation Models
... CAT system with ...PE system auto- matically proposes a different word that begins with the given word prefix but, obviously, the rest of the sentence is not ... See full document
11
Learning Mechanism in Machine Translation System “PIVOT”
... Learning Mechanism in Machine Translation System 'PIVOT' L e a r n i n g Mechanism in Machine T r a n s l a t i o n S y s t e m "PIVOT" ~ i t s u g u ~ i u r a M i k i t o H i r a t a Nami H o s h i n[.] ... See full document
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Optimization Strategies for Online Large Margin Learning in Machine Translation
... Statistical machine translation (SMT) systems rep- resent knowledge sources in the form of features, and rely on parameters, or weights, on each feature, to score alternative ...to online linear ... See full document
10
Multi system machine translation using online APIs for English Latvian
... In all hybrid systems that included the LetsMT API a decline in overall translation quality was observed. This can be explained by scale of the engines - the Bing and Google systems are more general, designed for ... See full document
5
Online Word Alignment for Online Adaptive Machine Translation
... of learning from post-edited MT outputs (refer- ences), in a real time ...the learning task into word alignment and phrase ex- traction tasks, and replacing the standard word- alignment module, which is a ... See full document
9
Learning from Post Editing: Online Model Adaptation for Statistical Machine Translation
... to translation models and of using incremental data to adjust model parameters (feature ...cache-based translation and language models to incorporate data from the current document into a computer- aided ... See full document
10
Proceedings of the Nineteenth Conference on Computational Natural Language Learning
... systems, machine translation systems, topic models, and deep neural networks, represents a key paradigm in Natural Language Pro- cessing, where discovering and leveraging syntactic and semantic entities and ... See full document
24
Machine Learning for Hybrid Machine Translation
... hybrid translation using the best can- didates as well as a hypothesis for each candidate ...latter translation, each potential can- didate for substitution is selected and replaces the original sub phrase ... See full document
5
Demonstration of a Neural Machine Translation System with Online Learning for Translators
... Pangeanic’s translation framework, which in- corporates on-the-fly system adaptation via online ...the translation industry—since the system is continuously learning from the ... See full document
5
Active Learning for Interactive Neural Machine Translation of Data Streams
... To ensure a fair comparison with the latter works of AL applied to IMT (Gonz´alez-Rubio and Casacuberta, 2014), we used the same datasets: our training data was the Europarl corpus (Koehn, 2005), with the development set ... See full document
10
Online Learning for Statistical Machine Translation
... The online learning techniques proposed in this article allows us to achieve the goal of learning from scratch in an efficient ...manner. Learning from scratch is not only a theoretical ... See full document
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Active learning for interactive machine translation
... the translation qual- ity, in terms of BLEU, across different data blocks for the three sampling strategies described in sec- tion 5, namely, dynamic confidence sampling (DCS), n-gram coverage sampling (NS) and ... See full document
10
Online Learning for Interactive Statistical Machine Translation
... the online IMT systems (95% confidence intervals are ...first translation hypothesis produced by the IMT system for each source ...average online learning time (LT) for each new sample ... See full document
9
LINGSTAT: An Interactive, Machine Aided Translation System
... LINGSTAT AN INTERACTIVE, MACHINE AIDED TRANSLATION SYSTEM L I N G S T A T A N I N T E R A C T I V E , M A C H I N E A I D E D T R A N S L A T I O N S Y S T E M * Jonathan Yamron, James Baker, Paul Bam[.] ... See full document
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