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The Operation Sequence Model—Combining N-Gram-Based and Phrase-Based Statistical Machine Translation
Operation Sequence Model Combining N-Gram Phrase-Based Statistical Machine Translation
2015/9/15
In this article, we present a novel machine translation model, the Operation Sequence Model (OSM), which combines the benefits of phrase-based and N-gram-based statistical machine translation (SMT) an...
This article describes in detail an n-gram approach to statistical machine translation. This approach consists of a log-linear combination of a translation model based on n-grams of bilingual units, w...
Automatic Induction of N-Gram Language Models from a Natural Language Grammar
N-Gram Language Models a Natural Language Grammar
2015/3/11
Automatic Induction of N-Gram Language Models from a Natural Language Grammar.
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
Reducing Training Data Mismatch Cross-Domain Language Model Estimation
2015/3/10
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation.
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
N-gram Weighing Data Mismatch Cross-Domain Language Model
2014/11/27
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngrams from such corpora m...
EL HISPANOHABLANTE Y LA GRAMÁTICA
grammatical knowledge native speakers mother tongue bilingual education
2008/9/28
The purpose of this study was to determine the functional and formal grammatical knowledge and awareness that native speakers have of their mother tongue. The subjects were undergraduate students spec...