GALE Phase 2 Chinese Web Parallel Text
|Item Name:||GALE Phase 2 Chinese Web Parallel Text|
|Author(s):||Lauren Friedman, Hubert Jin, Song Chen, Gary Krug, Stephanie Strassel|
|LDC Catalog No.:||LDC2014T26|
|Release Date:||November 15, 2014|
|Data Source(s):||newsgroups, weblogs|
|Language(s):||Mandarin Chinese, English, Chinese|
|Language ID(s):||cmn, eng, zho|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2014T26 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Friedman, Lauren, et al. GALE Phase 2 Chinese Web Parallel Text LDC2014T26. Web Download. Philadelphia: Linguistic Data Consortium, 2014.|
GALE Phase 2 Chinese Web Parallel Text was developed by the Linguistic Data Consortium (LDC). Along with other corpora, the parallel text in this release comprised training data for Phase 2 of the DARPA GALE (Global Autonomous Language Exploitation) Program. This corpus contains Chinese source text and corresponding English translations selected from weblog and newsgroup data collected by LDC and translated by LDC or under its direction.
This release includes 46 source-translation document pairs, comprising 66,779 tokens of translated data. Data is drawn from four Chinese weblog and newsgroup sources.
Data was manually selected for translation according to several criteria, including linguistic features and topic features. The files were formatted into a human-readable translation format and assigned to translation vendors. Translators followed LDC's Chinese to English translation guidelines. Bilingual LDC staff performed quality control procedures on the completed translations.
Source data and translations are distributed in TDF format. TDF files are tab-delimited files containing one segment of text along with meta information about that segment. Each field in the TDF file is described in TDF_format.text. All data are encoded in UTF-8.
Please view this Chinese sample and English sample.
None at this time.
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 inferred.