The Locator -- [(subject = "Machine translating")]

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02342amm a2200397Ia 4500
001 56520B623A6E11E5A08F40DADAD10320
003 SILO
005 20150804010056
008 150429s2015    pau     q  h        chi d
020    $a 9781585637058
020    $a 158563705X
035    $a (OCoLC)908168457
040    $a PAU $c PAU $d NUI $d SILO
041 1  $a eng $a eng $h chi
245 00 $a GALE Chinese-English word alignment and tagging broadcast training. $n Part 3 $h [electronic resource].
260    $a [Philadelphia, PA] : $b Linguistic Data Consortium, $c c2014.
300    $a 1 CD-ROM ; $c 4 3/4 in.
506    $a Restricted for use by site license.
538    $a CD-ROM.
500    $a "LDC2015T04"
500    $a Title from disc label.
500    $a Data type: Text.
500    $a Data source: Newswire.
500    $a Application: Machine translation.
500    $a Authors: Xuansong Li, Stephen Grimes, Stephanie Strassel.
546    $a Chinese and English.
520    $a "GALE Chinese-English Word Alignment and Tagging -- Broadcast Training Part 3 ... contains 242,020 tokens of word aligned Chinese and English parallel text enriched with linguistic tags. This material was used as training data in the DARPA GALE (Global Autonomous Language Exploitation) program. Some approaches to statistical machine translation include the incorporation of linguistic knowledge in word aligned text as a means to improve automatic word alignment and machine translation quality. This is accomplished with two annotation schemes: alignment and tagging. Alignment identifies minimum translation units and translation relations by using minimum-match and attachment annotation approaches. A set of word tags and alignment link tags are designed in the tagging scheme to describe these translation units and relations. Tagging adds contextual, syntactic and language-specific features to the alignment annotation."--LDC catalog.
650  0 $a Chinese language $v Databases.
650  0 $a Chinese language $x Machine translating.
650  0 $a Chinese language $v Translations into English.
650  0 $a Press releases $z China $v Databases.
700 1  $a Li, Xuansong.
710 2  $a Linguistic Data Consortium.
941    $a 1
952    $l OVUX522 $d 20180125024936.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=56520B623A6E11E5A08F40DADAD10320

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