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Distortion Constraints in Statistical Machine Translation. Constraining word reordering in Machine Translation with rules and knowledge outside of the Statistical MT model

Автор:   Marian G.O.
мягкая обложка
112 страниц
2009 год
Издательство:   Книга по Требованию
2005 руб
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Описание:All of these define more complex distortion models than monotonic distortion models (which favor lack of word reordering). Statistical machine translation (SMT) offers many benefits over rule based and example based machine translation especially ease to train and robustness. These proposed models don' t completely solve the issue of easily adding linguistic knowledge into the MT decoder. The work proposes a model designed to augment SMT models with linguistic knowledge, either in a rule-based fashion or in a probabilistic fashion. The theoretical framework proposed in this work was implemented in Phramer statistical phrase-based decoder and tested using various levels of knowledge - surface , part of speech, constituency parse trees. The experimental results show improvement in the quality of the translation. In order to solve distortion issues, different models were proposed: syntax-based MT, enhanced distortion models, clause restructuring. It represents state-of-the-art in machine translation (MT) but it has to deal with certain issues that are not trivial to solve in a statistical framework: correct distortion, correct agreement, morphology issues, etc.

Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

2990 руб
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The World is Flat

They also greatly enhanced personal information gathering and personal empowerment. (Each component of this information revolution was brought about by separate evolutions: The phone network evolved from the desire of people to talk to each other over long distances. The fax machine evolved as a way to transmit written communication over the phone network. The PC was diffused by the original killer apps-spreadsheets and word processing. And Windows evolved out of the need to make all of this usable, and programmable, by the masses.) The first IBM PC hit the markets in 1981. At the same time, many computer scientists around the world had started using these things called the Internet and e-mail. The first version of the Windows operating system shipped in 1985, and the real breakthrough version that made PCs truly user-friendly-Windows 3.0-shipped on May 22, 1990, only six months after the wall went down. In this same time period, some people other than scientists started to discover that if they bought a PC and a dial-up modem, they could connect their PCs to their telephones and send e-mails through private Internet service providers-like CompuServe and America Online. “The diffusion of personal computers, fax machines, Windows, and dial-up modems connected to a global telephone network all came together in the late 1980s and early 1990s to create the basic platform that started the global information revolution,” argued Craig J ...»

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Models and methods used in the analysis of microarray expression data. Towards the identi?cation of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome
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