[PDF] Top 20 Continuous Space Translation Models for Phrase Based Statistical Machine Translation
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Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... the translation model. Both were developed for tuple-based translation systems, ...e.g. based on bilingual ...a phrase-based SMT system. The continuous space ... See full document
10
Dynamically Shaping the Reordering Search Space of Phrase Based Statistical Machine Translation
... sequence models predict which input word is likely to be translated at a given state of ...guage models (Feng et al., 2010) are smoothed n- gram models trained on a corpus of source sentences ... See full document
14
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation
... ory. It has 512 cores running at 1.3 GHz. As can be seen from figure 2, for these network sizes the GTX 580 is about 3 times faster than two Intel X5675 processors (12 cores). This speed-up is smaller than the ones ... See full document
9
Stream based Translation Models for Statistical Machine Translation
... Typical statistical machine translation sys- tems are trained with static parallel ...and space-bounded model achieves the same performance with significantly less computational ... See full document
9
Bidirectional Phrase based Statistical Machine Translation
... standard phrase- based machine translation decoder that operates according to the same principles as the publicly available PHARAOH (Koehn, 2004) and MOSES (Koehn et ...language models ... See full document
9
Supertagged Phrase Based Statistical Machine Translation
... the language model a penalty imposed when formal compostion operators are violated. We combine the n-gram language model with a penalty factor that measures the number of encountered combinatory operator violations in a ... See full document
8
Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... language models, or continuous-space language models (CSLMs), have been shown to improve the performance of statistical machine translation (SMT) when they are used for ... See full document
6
Exact decoding for phrase-based statistical machine translation
... combinatorial space of translation derivations in phrase-based statistical ma- chine translation is given by the intersec- tion between a translation lattice and a tar- ... See full document
14
Connecting Phrase based Statistical Machine Translation Adaptation
... entropy based method for TM (Ling et ...NNLM based sentence adaptation, (Sennrich, 2012) for TM weights combination, and (Bisazza et ...all models using corresponding corpora, ‘in+NN’ indicates ... See full document
11
A Hierarchical Phrase Based Model for Statistical Machine Translation
... The parser only operates on the French-side gram- mar; the English-side grammar a ff ects parsing only by increasing the e ff ective grammar size, because there may be multiple rules with the same French side but di ff ... See full document
8
Incremental Decoding for Phrase Based Statistical Machine Translation
... In contrast, the delayed pruning not only avoids search errors but also provides a dynamically man- ageable search space (refer section 4.2.2) by re- taining the best of the potential candidates. In a practical ... See full document
8
Phrase Based Backoff Models for Machine Translation of Highly Inflected Languages
... vidual model scores were re-optimized. Table 4 shows the evaluation results on the dev set. Since the BLEU score alone is often not a good indi- cator of successful translations of unknown words (the unigram or bigram ... See full document
8
Local Phrase Reordering Models for Statistical Machine Translation
... local phrase reorder- ing models developed for use in statistical machine ...The models are carefully formulated so that they can be implemented as WFSTs, and we show how the ... See full document
8
Vector Space Models for Phrase based Machine Translation
... mantics based on continuous vector representa- tions to enhance the performance of phrase-based machine ...the phrase table to identify phrases in a training corpus. The ... See full document
10
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... 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 et ...chine translation ... See full document
8
Continuous Space Language Models for Statistical Machine Translation
... opment set, usually maximizing the BLEU score. In addition to the standard feature functions, many others have been proposed, in particular several ones that aim at improving the modeling of the tar- get language. In ... See full document
8
LIMSI @ WMT13
... distorsion models can efficiently handle short range reorderings, they are inadequate to capture long-range reorderings, especially for lan- guage pairs that differ significantly in their syn- ... See full document
8
Comparing Phrase based and Syntax based Paraphrase Generation
... a translation task in which source and target language are the ...and Machine Translation (MT) are in- stances of Text-To-Text Generation, which involves transforming one text into another, obeying ... See full document
7
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... There have been considerable amount of efforts to improve the reordering model in SMT systems, ranging from the fundamental distance-based dis- tortion model (Och and Ney, 2004; Koehn et al., 2003), flat ... See full document
8
Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... other models in the highest and the lowest error-rated corpora, respec- ...oriented models have an advantage over recall- oriented models when a given text contains sev- eral errors, and vice ... See full document
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