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Syntax-based statistical machine translation (MT) aims at applying statistical models to structured data. In this paper, we present a syntax-based statistical machine translation system based on a prob-abilistic synchronous dependency insertion grammar. Synchronous dependency insertion grammars are a version of synchronous grammars defined on dependency(More)
YouTube uploaders are the central agents in the YouTube phenomenon. We conduct extensive measurement and analysis of YouTube uploaders. We estimate YouTube scale and examine the uploading behavior of YouTube users. We demonstrate the positive reinforcement between on-line social behavior and uploading behavior. Furthermore, we examine whether YouTube users(More)
The development of international capital markets increases the necessity for international companies to refer to an harmonized accounting system. Common efforts undertaken by IASC and IOSCO and the new harmonization attempts within the European Union confirm this trend. Given the importance of the Anglo-American accounting standards, it seems to be(More)
This paper introduces a grammar formalism specifically designed for syntax-based statistical machine translation. The synchronous grammar formalism we propose in this paper takes into consideration the pervasive structure divergence between languages , which many other synchronous grammars are unable to model. A Dependency Insertion Grammars (DIG) is a(More)
The p53 core domain binds to response elements (REs) that contain two continuous half-sites as a cooperative tetramer, but how p53 recognizes discontinuous REs is not well understood. Here we describe the crystal structure of the p53 core domain bound to a naturally occurring RE located at the promoter of the Bcl-2-associated X protein (BAX) gene, which(More)
Structural divergence presents a challenge to the use of syntax in statistical machine translation. We address this problem with a new algorithm for alignment of loosely matched non-isomorphic dependency trees. The algorithm selectively relaxes the constraints of the two tree structures while keeping computational complexity polynomial in the length of the(More)
The tumor suppressor protein p53 regulates numerous signaling pathways by specifically recognizing diverse p53 response elements (REs). Understanding the mechanisms of p53-DNA interaction requires structural information on p53 REs. However, such information is limited as a 3D structure of any RE in the unbound form is not available yet. Here, site-directed(More)
received financial support from HEC Paris (project A0426). Yuan Ding and Hervé Stolowy would also like to thank Nicolas Loock and Germain Le Graverend for their able research assistance. Finally, the authors are indebted to Ann Gallon for her much appreciated editorial help. Abstract Disclosure and determinants studies have been extensively carried out in(More)