[PDF] Top 20 Multiple stream Language Models for Statistical Machine Translation
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Multiple stream Language Models for Statistical Machine Translation
... of stream spe- cific data relevant to a given test point has an im- pact on translation ...impacts translation performance compared to single-stream approaches (Tables 2 and ...ple ... See full document
10
Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... of language and translation models to a new domain using the cache-based mixture models as described ...phrase translation cache within the Moses ...cache models on or off using ... See full document
8
Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... Language models (LM) are applied in many natural language processing applications, such as speech recognition and machine translation, to encapsulate syntactic, semantic and pragmatic ... 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
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
Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
... hierarchical models are inherently capable of dealing with complex and recursive reordering patterns, in practice many translation rules are noisy or based on limited ... See full document
43
Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation
... In statistical machine translation (SMT) reorder- ing (also called distortion) refers to the order in which source words are translated to generate the translation in the target ...English ... See full document
12
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 ...large ... See full document
9
Randomised Language Modelling for Statistical Machine Translation
... these models and that the numbers of distinct n-grams is of the same or- der as that of the recently released Google Ngrams dataset ...of models referred to by the corpus used (EP or GW), the order of the ... See full document
8
Advancements in Reordering Models for Statistical Machine Translation
... are better than their corresponding baseline values with more than 95% confidence. We also compare our method with several other popular reorder- ing models. Our model ranks the second position which is slightly ... See full document
11
Statistical models for text normalization and machine translation
... the statistical model that underlies both the gd2ga machine translation system and the Irish ...of machine translation between very closely-related languages, the latter requiring ... See full document
8
Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... Table 1 shows the percent BLEU scores on the test data. The figures in the “1st pass” column show the BLEU scores in the first pass decoding when we changed the language model. The figures in the “reranking” ... See full document
6
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
Large Language Models in Machine Translation
... 7-gram models with optimized stupid backoff factors for each order, while the learning curve presented here uses a fixed order of 5 and a single fixed backoff fac- ...of language model training data from 13 ... See full document
10
Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... GEC models. The performance of four recent models, namely three neural machine translation (NMT)- based models (LSTM, CNN, and transformer) and a statistical machine ... See full document
6
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
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... German-Czech language pair are built based on the previously proposed unsupervised MT sys- tems, with some adaptations made to accom- modate the morphologically rich characteristics of German and Czech (Tsarfaty ... See full document
8
Statistical Machine Translation with Local Language Models
... Part-of-speech language modeling is com- monly used as a component in statistical ma- chine translation systems, but there is mixed evidence that its usage leads to significant im- ...local ... See full document
11
Continuous Space Language Models for Statistical Machine Translation
... space language model was trained on exactly the same data than the back-off refer- ence language model, using the resampling algo- rithm described in (Schwenk and Gauvain, ...the language model will ... See full document
8
Deep Syntax Language Models and Statistical Machine Translation
... Hierarchical Models increase the re- ordering capabilities of MT systems by introducing non-terminal symbols to phrases that map source language (SL) words/phrases to the correct position in the target ... See full document
9
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