[PDF] Top 20 Mixing Multiple Translation Models in Statistical Machine Translation
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Mixing Multiple Translation Models in Statistical Machine Translation
... log-linear models, the model scores are not normalized to form probability distributions, the scores that different models assign to each phrase- pair may not be in the same ...Therefore, mixing ... See full document
10
Insertion and Deletion Models for Statistical Machine Translation
... deletion models for Chinese→English hierarchical machine translation are ...the models to a very strong setup with discriminative word lexicons, triplet lexicon mod- els and a discriminative ... See full document
5
Adaptation of Reordering Models for Statistical Machine Translation
... of translation mod- els (TMs) and language models (LMs) has become common for SMT systems, but to our knowledge this is the first attempt in the literature to adapt the ...improve translation ... See full document
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On Statistical Machine Translation and Translation Theory
... present-day statistical ma- chine translation (SMT) have their foundation in specific assumptions about the nature of the trans- lation ...SMT models implement ...in translation theory and ... See full document
5
Improved Alignment Models for Statistical Machine Translation
... The results of the translation experiments using the single-word based approach and the alignment template approach on text input and on speech input are summarized in Table 2.. The resu[r] ... See full document
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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... chine translation (NMT) models are applied in this task and further tuned by pseudo-parallel data generated from a phrase-based statistical machine translation (PBSMT) model, which is ... See full document
8
Minimum Error Rate Training in Statistical Machine Translation
... cal machine translation models is based on maximum likelihood or related ...final translation quality on unseen ...optimize translation qual- ... See full document
8
Triplet Lexicon Models for Statistical Machine Translation
... Table 3 shows the effect of a maximum distance constraint for the Spanish-English direction. Due to the large amount of triplets (we extract roughly two billion triplets 2 for the EPPS data), we drop all triplets that ... See full document
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Statistical Machine Translation with Local Language Models
... individual models, or local models, for each word-POS pair using the POS tags surrounding each occurrence of that ...language models (Kuhn, 1988), but more fine-grained and with a tighter integration ... See full document
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Statistical Machine Translation Models for Personalized Search
... Earlier approaches to personalization have con- sidered, user profile to be a collection of words, on- tology, language model etc. We perceive the user profile learning through a Noisy Channel Model. In the model, when a ... See full document
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Deep Syntax Language Models and Statistical Machine Translation
... Tables 3 and 4 show the most frequently en- countered trigrams in the test data for each type of model. A comparison shows how different the two models are and highlights the potential of the deep syntax language ... See full document
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Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... These models can be roughly grouped into five categories: word form with linguistic fea- tures; lemma with linguistic features; models with dependency features; MRS elementary pred- icates (EP) and the type ... See full document
10
Bilingual Cluster Based Models for Statistical Machine Translation
... specific models based on bilingual clustering for sta- tistical machine ...specific translation must be performed simultaneously dur- ing the translation ...and translation ... See full document
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Improving Statistical Machine Translation with Word Class Models
... ent machine translation paradigms and with arbitrary types of ...French→German translation task with both standard phrase-based and hierarchical phrase-based translation systems for a com- mon ... See full document
5
Bilingual Structured Language Models for Statistical Machine Translation
... that models sentence genera- tion ...use models whose score can be computed ...language models define sentence generation hierarchically (Shen et ... See full document
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A Comparison of Alignment Models for Statistical Machine Translation
... paper dvi A Comparison of Alignment Models for Statistical Machine Translation Franz Josef Och and Hermann Ney Lehrstuhl f?ur Informatik VI, Computer Science Department RWTH Aachen University of Techn[.] ... See full document
5
Large and Diverse Language Models for Statistical Machine Translation
... Often more data is better data, and so it should come as no surprise that recently statistical machine trans- lation (SMT) systems have been improved by the use of large language models (LM). ... See full document
6
Continuous Space Language Models for Statistical Machine Translation
... We have also presented a neural network LM that performs probability estimation in a contin- uous space. Since the resulting probability func- tions are smooth functions of the word represen- tation, better ... See full document
8
Advancements in Reordering Models for Statistical Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ... See full document
11
Stream based Translation Models for Statistical Machine Translation
... the translation and alignment probabilities for the HMM-based alignments, we employ the EM algo- rithm via dynamic ...have multiple local minima, we seed the HMM-based model probabilities with a better than ... See full document
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