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100   $a20170810d2017      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aMachine Translation with Minimal Reliance on Parallel Resources /$fby George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (92 pages) $cillustrations
225 1 $aSpringerBriefs in Statistics,$x2191-544X
311   $a3-319-63105-5 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aPreliminaries -- Implementation -- Main translation process -- Assessing PRESEMT -- Expanding the system -- Extensions to the PRESEMT methodology -- Conclusions and future work -- References.
330   $aThis book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.
410  0$aSpringerBriefs in Statistics,$x2191-544X
606   $aNatural language processing (Computer science)
606   $aMathematical statistics
606   $aPattern perception
606   $aStatistics
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
606   $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
615  0$aNatural language processing (Computer science)
615  0$aMathematical statistics.
615  0$aPattern perception.
615  0$aStatistics.
615 14$aNatural Language Processing (NLP).
615 24$aProbability and Statistics in Computer Science.
615 24$aPattern Recognition.
615 24$aStatistics and Computing/Statistics Programs.
676   $a418.020285
700   $aTambouratzis$b George$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767437
702   $aVassiliou$b Marina$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aSofianopoulos$b Sokratis$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254301103321
996   $aMachine Translation with Minimal Reliance on Parallel Resources$92155931
997   $aUNINA