[PDF] Top 20 Interactive Machine Translation using Hierarchical Translation Models
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Interactive Machine Translation using Hierarchical Translation Models
... any interactive environment, performing a full search each time the user validates a new prefix is ...the translation must be carried out only once, and the generated represen- tation can be reused for ... See full document
11
Hierarchical Phrase Table Combination for Machine Translation
... the hierarchical combination, we can easily include a new phrase table from a new do- main by simply chaining them ...language models which are hierarchically represented through the hierarchi- cal ... See full document
9
Hierarchical Machine Translation With Discontinuous Phrases
... a hierarchical statistical ma- chine translation system which supports discontinuous ...tion models and their relatively frequent occurrence in hand-aligned ...sive translation models ... See full document
11
Hierarchical System Combination for Machine Translation
... our hierarchical sys- tem combination ...phrase translation tables, and the augmented phrase table will be significantly pruned according to reli- able MT ...refined models, and encourage search ... See full document
10
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
... We have applied the learning method to create an English-Spanish translation model for a limited domain, with word accuracy of over 75% measured by a string distance comparison as used i[r] ... See full document
7
Active learning for interactive machine translation
... guage models), then it is generally easy to incre- mentally extend the model given a new training ...alignment models), the estima- tion procedure has to be modified, since the con- ventional EM algorithm ... See full document
10
Interactive Attention for Neural Machine Translation
... attention models (Luong et ...attention models to improve translation ...alignment models, which achieved improvements across several language ...fertility models to attention- based ... See full document
12
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
... Automatic Acquisition of Hierarchical Transduction Models for Machine Translation A u t o m a t i c A c q u i s i t i o n o f H i e r a r c h i c a l T r a n s d u c t i o n M o d e l s for M a c h i[.] ... See full document
7
A Phrase Orientation Model for Hierarchical Machine Translation
... phrase-based translation with continuous phrases only and left-to-right hy- pothesis generation (Koehn et ...reordering models assist the decoder in taking a good ...reordering models which ... See full document
12
An Interactive Machine Translation System with Online Learning
... One key aspect in online learning is the time re- quired by the learning algorithm to process the new training samples. One way to satisfy this constraint is to obtain incrementally updateable versions of the algorithms ... See full document
6
Adaptive Language and Translation Models for Interactive Machine Translation
... an interactive machine translation (IMT) system (Foster et ...a translation model (TM) and a language model (LM) used jointly to produce pro- posals that are appropriate translations of source ... See full document
8
Improving On line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation
... In interactive machine translation (IMT), a hu- man expert is integrated into the core of a ma- chine translation (MT) ...performed using the key- board and the ...language ... See full document
6
On Using Very Large Target Vocabulary for Neural Machine Translation
... The most na¨ıve way to select a subset of candi- date target words is to take only the top-K most frequent target words, where K can be adjusted to meet the computational requirement. This, how- ever, effectively cancels ... See full document
10
From Machine Translation to Computer Assisted Translation using Finite State Models
... State-of-the-art machine translation techniques are still far from producing high quality ...the translation problem that brings human expertise into the machine translation sce- ... See full document
8
Deep architectures for Neural Machine Translation
... In this work we focus on stacked and deep tran- sition recurrent architectures as defined by Pas- canu et al. (2014). Different types of stacked ar- chitectures have been successfully used for NMT (Zhou et al., 2016; Wu ... See full document
9
Greedy Search with Probabilistic N gram Matching for Neural Machine Translation
... Performance Table 1 shows the translation per- formance on test sets measured in BLEU score. Simply training NMT model by the probabilistic 2-gram precision achieves an improvement of 1.5 BLEU points, which ... See full document
7
Active Learning for Interactive Neural Machine Translation of Data Streams
... The translation of large data streams is a problem that has been thoroughly studied. Most works aim to continuously modify the MT system as more data become available. These modifications are usually performed in ... See full document
10
Hierarchical Incremental Adaptation for Statistical Machine Translation
... a machine translation system can increase the speed and quality of professional hu- man translators (Guerberof, 2009; Plitt and Mas- selot, 2010; Green et ...that translation suggestions are informed ... See full document
7
Proceedings of the Second Conference on Machine Translation
... Jan-Thorsten Peter, Hermann Ney, Ondˇrej Bojar, Ngoc-Quan Pham, Jan Niehues, Alex Waibel, Franck Burlot, François Yvon, M¯arcis Pinnis, Valters Sics, Joost Bastings, Miguel Rios, Wilker Aziz, Philip Williams, Frédéric ... See full document
24
Proceedings of the Third Conference on Machine Translation: Research Papers
... Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera and Alfons Juan . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... See full document
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