LDC Catalog

GALE Chinese-English Word Alignment and Tagging Training Part 2 -- Newswire

Item Name:

GALE Chinese-English Word Alignment and Tagging Training Part 2 -- Newswire

Authors:

Xuansong Li, Stephen Grimes, Stephanie Strassel

ISBN:

automatic content extraction, content-based retrieval, machine translation, tagging

Reduced-License Fee:

N/A

Extra-Copy Fee:

US $

Non-member License:

yes

Online documentation:

yes

Licensing Instructions:

Subscription Members, Standard Members, Non-Members

Citation:

Xuansong Li, Stephen Grimes, Stephanie Strassel
2012
GALE Chinese-English Word Alignment and Tagging Training Part 2 -- Newswire
Linguistic Data Consortium, Philadelphia

Introduction

GALE Chinese-English Word Alignment and Tagging Training Part 2 -- Newswire was developed by the Linguistic Data Consortium (LDC) and contains 169,080 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.

GALE Chinese-English Word Alignment and Tagging Training Part 1 -- Newswire and Web (LDC2012T16) is also available through LDC.

Data

This release consists of Chinese source newswire collected by LDC in 2008. The distribution by genre, words, character tokens and segments appears below:

Language Genre Files Words CharTokens Segments

Chinese nw 1982 112720 169080 4239

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

The file names indicate the source provider, the story date and the language. For example, "AFP_CMN_20080406"" refers to the source Agence France Presse ("AFP"), the story date is April 6, 2008 and the language is Chinese ("CMN").

Samples

Please follow these links for samples: Chinese, English, Word Alignment.

Sponsorship

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.

Updates

None at this time.

Content Copyright