[PDF] Top 20 Large and Diverse Language Models for Statistical Machine Translation
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Large and Diverse Language Models for Statistical Machine Translation
... such large LMs in re- ranking (Zhang et ...single machine, for instance by using efficient prefix trees and fewer bits to store the LM probability (Federico and Bertoldi, ... See full document
6
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation
... Language models play an important role in large vocabulary speech recognition and sta- tistical machine translation ...guage models trained on hundreds of billions of ...a ... See full document
9
A Large-scale Study of Statistical Machine Translation Methods for Khmer Language
... chine statistical translation ...Myanmar language that was syllable segmented) using GIZA++ (Och and Ney, ...5-gram language model with inter- polated modified Kneser-Ney discounting (Stol- ... See full document
11
Mixing Multiple Translation Models in Statistical Machine Translation
... Statistical machine translation (SMT) systems re- quire large parallel corpora in order to be able to obtain a reasonable translation ...existing large bilingual corpus in a spe- ... See full document
10
Randomised Language Modelling for Statistical Machine Translation
... We are not the first people to consider building very large scale LMs: Kumar et al. used a four-gram LM for re-ranking (Kumar et al., 2005) and in un- published work, Google used substantially larger n- grams in ... See full document
8
Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... Another approach is using restricted Boltzmann machines (RBMs) (Niehues and Waibel, 2012) instead of using multi-layer neural networks (Bengio et al., 2003; Schwenk, 2007; Le et al., 2011). Since probability in a RBM can ... See full document
6
Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
... restrict translation hypotheses to well-formed target language sentences—ruling out, for instance, a translation that fails to reorder the translated verb renewed with respect to its ...the ... See full document
43
Continuous Space Language Models for Statistical Machine Translation
... In this work, a slightly different procedure was used that operates directly on the translation lat- tices. We believe that this is more efficient than reranking n-best lists since it guarantees that al- ways all ... See full document
8
Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... ing, tuning (assuming that interpolation weights and other cache parameters can be fixed after some initial experiments) nor the incorporation of any other in-domain resources. Cache based adapta- tion can directly be ... See full document
8
Multiple stream Language Models for Statistical Machine Translation
... a large amount of static data adding small amounts of stream spe- cific data relevant to a given test point has an im- pact on translation ...the large background model we obtain signifi- cantly ... See full document
10
Post Editing System For Statistical Machine Translation
... The Statistical Machine Translation System starts with the collection of training ...a large text material written in some language that will take as input to the SMT ...A large ... See full document
6
Statistical Machine Translation with Local Language Models
... local language modeling approach with a decoder is ...word language model ...many language models, local language models can be added using the same func- tionalities of SRILM’s ... See full document
11
ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
... given translation task allows us to train higher order language models, model longer range dependencies better, and achieve lower perplexity as shown in Table ... See full document
5
Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... unsupervised language model adaptation techniques for Statistical Machine ...the machine translation output are converted into queries at different levels of representation power and ... See full document
7
Example based Machine Translation Based on Syntactic Transfer with Statistical Models
... and translation) are obtained from child ...the translation probabil- ity is calculated, the source word sub-sequence is obtained by tracing transfer mapping, and the ap- plied translation model is ... See full document
7
Stream based Translation Models for Statistical Machine Translation
... the language model and the feature ...the translation models trained on material chronologically closer to the given test ...the models that are retrained show that we achieve a higher ... See full document
9
Distortion Models for Statistical Machine Translation
... Monotone decoding translates words in the same or- der they appear in the source language. Hence, the input and output sentences have the same word order. Monotone decoding is very efficient since the optimal ... See full document
8
Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation
... gual tokens and we adopt this terminology. There are alternative definitions of bilingual language models. Our choice of the above defi- nition is supported by the fact that it produces an unambiguous ... See full document
12
Adapting Translation Models to Translationese Improves SMT
... Translation models used for statistical ma- chine translation are compiled from par- allel corpora; such corpora are manually translated, but the direction of translation is usually ... See full document
11
Deep Syntax Language Models and Statistical Machine Translation
... string-based language model provides as good if not better context than the deep syntax model, but only for the few words that happen to be preceded by words that are important to its lexical choice, and this ... See full document
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