000725619 000__ 03269cam\a2200445Ii\4500 000725619 001__ 725619 000725619 005__ 20230306140648.0 000725619 006__ m\\\\\o\\d\\\\\\\\ 000725619 007__ cr\cn\nnnunnun 000725619 008__ 150213s2015\\\\si\a\\\\ob\\\\001\0\eng\d 000725619 020__ $$a9789812873569$$qelectronic book 000725619 020__ $$a9812873562$$qelectronic book 000725619 020__ $$z9789812873552 000725619 0247_ $$a10.1007/978-981-287-356-9$$2doi 000725619 035__ $$aSP(OCoLC)ocn903357053 000725619 035__ $$aSP(OCoLC)903357053 000725619 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dDKU$$dN$T$$dUPM$$dIDEBK$$dCOO$$dOCLCF$$dYDXCP 000725619 049__ $$aISEA 000725619 050_4 $$aP98 000725619 08204 $$a006.3/5$$223 000725619 1001_ $$aXiong, Deyi,$$eauthor. 000725619 24510 $$aLinguistically motivated statistical machine translation$$h[electronic resource] :$$bmodels and algorithms /$$cDeyi Xiong, Min Zhang. 000725619 264_1 $$aSingapore :$$bSpringer,$$c2015. 000725619 300__ $$a1 online resource (xii, 152 pages) :$$billustrations 000725619 336__ $$atext$$btxt$$2rdacontent 000725619 337__ $$acomputer$$bc$$2rdamedia 000725619 338__ $$aonline resource$$bcr$$2rdacarrier 000725619 504__ $$aIncludes bibliographical references and index. 000725619 5050_ $$a1 Introduction -- 2 BTG-Based SMT -- 3 Syntactically Annotated Reordering -- 4 Semantically Informed Reordering -- 5 Lexicalized Bracketing -- 6 Linguistically Motivated Bracketing -- 7 Translation Rule Selection with Document-Level Semantic Information -- 8 Translation Error Detection with Linguistic Features -- 9 Closing Remarks -- Index -- References. 000725619 506__ $$aAccess limited to authorized users. 000725619 520__ $$aThis book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing models. It also serves the purpose of promoting the in-depth study of the impacts of linguistic knowledge on machine translation. Finally it provides a systematic introduction of Bracketing Transduction Grammar (BTG) based SMT, one of the state-of-the-art SMT formalisms, as well as a case study of linguistically motivated SMT on a BTG-based platform. Deyi Xiong is a professor at Soochow University. Previously he was a research scientist at the Institute for Infocomm Research of Singapore from 2007-2013. He completed his Ph.D. in Computer Science at the Institute of Computing Technology of Chinese Academy of Sciences in 2007. His research interests are in the area of natural language processing, including parsing and statistical machine translation. Min Zhang is a professor at Soochow University. He obtained his Ph.D. degree in Computer Science at Harbin Institute of Technology in 1997. His research interests include machine translation, natural language processing and text mining. 000725619 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 17, 2015). 000725619 650_0 $$aComputational linguistics. 000725619 650_0 $$aMachine translating. 000725619 7001_ $$aZhang, Min,$$eauthor. 000725619 77608 $$iPrint version:$$z9789812873552 000725619 852__ $$bebk 000725619 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-287-356-9$$zOnline Access$$91397441.1 000725619 909CO $$ooai:library.usi.edu:725619$$pGLOBAL_SET 000725619 980__ $$aEBOOK 000725619 980__ $$aBIB 000725619 982__ $$aEbook 000725619 983__ $$aOnline 000725619 994__ $$a92$$bISE