GALE Chinese-English Word Alignment and Tagging Training Part 4 -- Web
was developed by LDC and contains 158,387 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.
Other releases available in this series are:
- GALE Chinese-English Word Alignment and Tagging Training Part 1 -- Newswire and Web
- GALE Chinese-English Word Alignment and Tagging Training Part 2 -- Newswire
- GALE Chinese-English Word Alignment and Tagging Training Part 3 -- Web
This release consists of Chinese source web data (newsgroup, weblog) collected
by LDC. The distribution by words, character tokens and segments
Note that all token counts are based on the Chinese data only. One token is equivalent
to one character and one word is equivalent to 1.5 characters.
The Chinese word alignment tasks consisted of the following components:
- Identifying, aligning, and tagging 8 different types of links
- Identifying, attaching, and tagging local-level unmatched words
- Identifying and tagging sentence/discourse-level unmatched words
- Identifying and tagging all instances of Chinese 的(DE) except when they
were a part of a semantic link.
This work was supported in part by the Defense Advanced Research Projects Agency, GALE
Program Grant No. HR0011-06-1-0003. The content of this publication does not necessarily
reflect the position or the policy of the Government, and no official endorsement should be
None at this time.
Portions © 2013 Trustees of the University of Pennsylvania