Korean Treebank Annotations Version 2.0

Item Name: Korean Treebank Annotations Version 2.0
Author(s): Na-Rae Han, Shijong Ryu, Sook-Hee Chae, Seung-yun Yang, Seunghun Lee, Martha Palmer
LDC Catalog No.: LDC2006T09
ISBN: 1-58563-381-X
ISLRN: 365-025-522-700-1
DOI: https://doi.org/10.35111/02nk-p662
Release Date: April 17, 2006
Member Year(s): 2006
DCMI Type(s): Text
Data Source(s): newswire
Application(s): automatic content extraction, discourse analysis, information detection, information extraction, morphology learning, natural language processing, parsing, part of speech tagging, syntactic parsing
Language(s): Korean
Language ID(s): kor
License(s): Korean Treebank Annotations Version 2.0 Agreement
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Han, Na-Rae, et al. Korean Treebank Annotations Version 2.0 LDC2006T09. Web Download. Philadelphia: Linguistic Data Consortium, 2006.
Related Works: View


English-Arabic Parallel Treebank v 1.0 was developed by the Linguistic Data Consortium (LDC) and consists of 52,238 words in 224 files of individual Agence France Presse (AFP) news stories.

The AFP stories included here correspond to approximately the first 50K words of Arabic Treebank: Part 1 v 3.0 (LDC2005T02). The English translation was provided by LDC, and was part-of-speech tagged and treebanked for this project.


The guidelines followed for both part-of-speech and treebank annotation are essentially Penn Treebank II style, with two notable differences:

  1. POS: tokenization of hyphenated items ("New York-based" has been replaced by "New York - based" for example), and the addition of HYPH and AFX tags necessitated by this change in tokenization
  2. TreeBank: the addition of the node label NML for sub-NP nominal constituents (replacing NX and most NP-internal NAC)

More detailed addenda to the Penn Treebank II guidelines and a mapping from the original Arabic Treebank filenames to the current filenames used in this release can be found in the associated documentation.


For an example of the data in this corpus, please review this text sample (TXT).


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