[PDF] Top 20 Statistical Machine Translation Models for Personalized Search
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Statistical Machine Translation Models for Personalized Search
... and search context. When a query (e.g. “jaguar”) is ambiguous, the search results are inevitably mixed in content ...personalize search according to each individual ...alized search is to ... See full document
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A DP based Search Algorithm for Statistical Machine Translation
... However, for the optimization criterion considered here dynamic programming is only suboptimal because the decomposition into independent subproblems is only approximately possible: to p[r] ... See full document
8
Multiple stream Language Models for Statistical Machine Translation
... Baseline results for all test points using only the GW background LM are shown in the top row in Tables 9 and 10. We then interpolated the ORLMs with this LM. For each stream test point we interpo- lated with the big GW ... See full document
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Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... In our initial experiments, we trained a neural network to estimate the forward phrase transla- tion probability P ( ¯ t | ¯ s ) . The maximal phrase length was set to seven words, as it is also used during the standard ... See full document
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A DP based Search Algorithm for Statistical Machine Translation
... A DP based Search Algorithm for Statistical Machine Translation A D P b a s e d S e a r c h A l g o r i t h m for S t a t i s t i c a l M a c h i n e T r a n s l a t i o n S N i e f l e n , S Vogel, H[.] ... See full document
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Unsupervised Search for the Optimal Segmentation for Statistical Machine Translation
... In order to investigate whether the proposed bilingual segmentation cost correlates any better than the monolingual segmentation cost of Mor- fessor, we show several cost-BLEU pairs obtained from the final and ... See full document
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Improving Statistical Machine Translation by Adapting Translation Models to Translationese
... the translation and language models can further improve the translation ...a translation model trained on a concatenation of S → T and T → S parallel corpora and a language model compiled from ... See full document
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Insertion and Deletion Models for Statistical Machine Translation
... To set up our systems, we employ the open source statistical machine translation toolkit Jane (Vilar et al., 2010; Vilar et al., 2012), which is freely avail- able for non-commercial use. Jane ... See full document
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Deep Syntax Language Models and Statistical Machine Translation
... We carry out an experimental evaluation to inves- tigate the potential of the deep syntax language model we describe in this paper independently of any machine translation system. We train a 5- gram deep ... See full document
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Bilingual Cluster Based Models for Statistical Machine Translation
... During translation decoding, the domain spe- cific language model was used as an additional fea- ture in the log-linear combination according to the PHARAOH decoder’s ...language models are combined by ... 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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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
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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
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Adaptation of Reordering Models for Statistical Machine Translation
... best translation practice differs widely across genres, topics, and di- alects, and even depends on a particular author’s or publication’s style; the word “domain” is often used to indicate a particular ... See full document
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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 English ... See full document
9
Statistical models for text normalization and machine translation
... First, there is not complete agreement with respect to what “standard Irish” means. The first movement toward standardization of the written language goes back to the 1930’s with the establishment of govern- ment ... See full document
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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
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Mixing Multiple Translation Models in Statistical Machine Translation
... Statistical machine translation (SMT) systems re- quire large parallel corpora in order to be able to obtain a reasonable translation ... See full document
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