LEADER 01369nam 2200349z- 450 001 9910689401703321 005 20161209100931.0 035 $a(CKB)5860000000023442 035 $a(BIP)008702771 035 $a(EXLCZ)995860000000023442 100 $a20220406c2001uuuu -u- - 101 0 $aeng 200 10$aFirst in series on social security disability programs' challenges and opportunities $ehearing before the Subcommittee on Social Security of the Committee on Ways and Means, House of Representatives, One Hundred Seventh Congress, first session, June 28, 2001 215 $a1 online resource (iii, 139 p.) $cill 311 $a0-16-066309-1 517 $aFirst in series on social security disability programs' challenges and opportunities 606 $aSocial security$zUnited States 606 $aDisability evaluation$zUnited States 606 $aDisability insurance$zUnited States 610 $aSocial security 610 $aDisability evaluation 610 $aDisability insurance 610 $aPolitical science 610 $aLaw 610 $aBusiness & economics 615 0$aSocial security 615 0$aDisability evaluation 615 0$aDisability insurance 906 $aBOOK 912 $a9910689401703321 996 $aFirst in series on social security disability programs' challenges and opportunities$93144557 997 $aUNINA LEADER 03561nam 22006615 450 001 9910357842603321 005 20251225200658.0 010 $a981-15-1721-5 024 7 $a10.1007/978-981-15-1721-1 035 $a(CKB)4100000009939696 035 $a(MiAaPQ)EBC5983818 035 $a(DE-He213)978-981-15-1721-1 035 $a(PPN)248599844 035 $a(EXLCZ)994100000009939696 100 $a20191122d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aMachine Translation $e15th China Conference, CCMT 2019, Nanchang, China, September 27?29, 2019, Revised Selected Papers /$fedited by Shujian Huang, Kevin Knight 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (141 pages) $ccolor illustrations 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1104 311 08$a981-15-1720-7 320 $aIncludes bibliographical references and index. 327 $aImproving Bilingual Lexicon Induction on Distant Language Pairs -- Improving Quality Estimation of Machine Translation by Using Pre-trained Language Representation -- Incorporating Syntactic Knowledge in Neural Quality Estimation for Machine Translation -- Independent Fusion of Words and Image for Multimodal Machine Translation -- Neural Machine Translation with Attention Based on A New Syntactic Branch Distance -- Phrase-based Chinese-Vietnamese pseudo-parallel sentence pair generation -- Quality Estimation with Transformer and RNN Architectures -- NICT?s Machine Translation Systems for CCMT-2019 Translation Task -- NiuTrans Submission for CCMT19 Quality Estimation Task -- Tencent Minority-Mandarin Translation System -- CCMT 2019 Machine Translation Evaluation Report. 330 $aThis book constitutes the refereed proceedings of the 15th China Conference on Machine Translation, CCMT 2019, held in Nanchang, China, in September 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1104 606 $aNatural language processing (Computer science) 606 $aComputer science 606 $aDatabase management 606 $aCoding theory 606 $aInformation theory 606 $aNatural Language Processing (NLP) 606 $aComputer Science Logic and Foundations of Programming 606 $aDatabase Management 606 $aCoding and Information Theory 615 0$aNatural language processing (Computer science). 615 0$aComputer science. 615 0$aDatabase management. 615 0$aCoding theory. 615 0$aInformation theory. 615 14$aNatural Language Processing (NLP). 615 24$aComputer Science Logic and Foundations of Programming. 615 24$aDatabase Management. 615 24$aCoding and Information Theory. 676 $a006.35 702 $aHuang$b Shujian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKnight$b Kevin$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910357842603321 996 $aMachine translation$91011679 997 $aUNINA