[PDF] Top 20 Continuous Space Language Models for Statistical Machine Translation
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Continuous Space Language Models for Statistical Machine Translation
... the translation of Eu- ropean Parliament Speeches from Spanish to En- glish, in the framework of an international evalua- tion organized by the European T C -S TAR project in February ...complex statistical ... See full document
8
Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... network language models, or continuous-space language models (CSLMs), have been shown to improve the performance of statistical machine translation (SMT) ... See full document
6
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation
... a language model to evaluate the probability of the produced sequence of words, w and f respectively, we argue that the task of the lan- guage model is not exactly the same for both ap- ...best translation ... See full document
9
Stream based Translation Models for Statistical Machine Translation
... To ensure the recency results reported above were not limited to French-English, this time our paral- lel input stream was generated from the German- English language pair of Europarl with German as source and ... See full document
9
A Continuous Space Rule Selection Model for Syntax based Statistical Machine Translation
... To analyze the influence of different features, we trained the MERS model using source-side and target-side n-gram lexical features similar to the CSRS model. When using this feature set, the performance of the MERS ... See full document
10
Continuous Space Translation Models with Neural Networks
... neural translation model, implemented here in the framework of the n-gram based models, tak- ing advantage of a specific hierarchical architecture ...gual translation models were presented and ... See full document
10
Bilingual Structured Language Models for Statistical Machine Translation
... syntactic language model, structured LM (SLM) (Chelba and Jelinek, 2000), that we extend to a bilingual setting and apply to SMT in Sec- tion ...that models sentence genera- tion ...use models whose ... See full document
11
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... shared space based on a bilingual dictionary of a negligibly small ...cross-lingual language model pre- training can learn a better cross-lingual embed- dings to initialize an unsupervised machine ... See full document
8
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
LIMSI @ WMT13
... the translation task of WMT’13 for the French-English, German-English and Spanish- English language ...and continuous space models are introduced in a post- processing step, both for ... 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
Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
... hand, language pairs with many clause-level order differences ...new translation task is often driven by costly empirical trials rather than by linguistic ...these language pairs have been the object ... See full document
43
Example based Machine Translation Based on Syntactic Transfer with Statistical Models
... the statistical gener- ations, the MT quality of ranks A+B+C by subjec- tive evaluation significantly ...n-gram language model used here does not consider output length, and shorter translations are ...the ... See full document
7
Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... contains translation candidates, and thus is more informative than Q T 1 ...2.2.3 Translation Model as a Query Model To fully leverage the available knowledge from the translation system, the ... See full document
7
Distortion Models for Statistical Machine Translation
... Existing statistical machine translation decoders have mostly relied on language models to select the proper word order among many possible choices when translating between two ...a ... See full document
8
Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... obvious. Language models play a crucial role in fluency ranking and a better fit to real data (supporting the tendency of repetition) should be ...rect translation decisions in the history in our SMT ... See full document
8
Mixing Multiple Translation Models in Statistical Machine Translation
... search space consists of those of multi- ple systems, in that model combination uses forest of derivations of all component models to do the ...nent models to fully decode each sentence, compute ... See full document
10
Large and Diverse Language Models for Statistical Machine Translation
... To assess the utility of re-ranking with large LMs, we carried out a number of experiments, summa- rized in Table 4. We used the English side of the par- allel training corpus and the Gigaword corpus dis- tributed by the ... See full document
6
Investigating Continuous Space Language Models for Machine Translation Quality Estimation
... Continuous Space Language Models (CSLM), on the other hand, have shown their potential to capture long distance dependencies among words (Schwenk, 2012; Mikolov et ...these models is ... See full document
6
Statistical Machine Translation with Local Language Models
... All three approaches, including the baseline, use lexicalized distortion, distinguishing between mono- tone, swap, and discontinuous reordering, all with respect to the previous and next phrase (Koehn et al., 2005). The ... See full document
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