2006 CoNLL Shared Task - Ten Languages

Item Name: 2006 CoNLL Shared Task - Ten Languages
Author(s): Bulgarian Academy of Sciences, Eberhard-Karls-Universität, Copenhagen Business School, Danish Society for Language and Literature, University of Groningen, Universität Potsdam, Universität des Saarlandes, Universität Stuttgart, Eberhard-Karls-Universität Tübingen, University of Southern Denmark, SINTEF Telcom & Informatics, Jožef Stefan Institute, Charles University, The Fran Ramovš Institute for the Slovenian Language, University of Barcelona, Uppsala University, Växjŏ University, Middle East Technical University
LDC Catalog No.: LDC2015T11
ISBN: 1-58563-717-3
ISLRN: 578-227-532-044-0
Release Date: June 15, 2015
Member Year(s): 2015
DCMI Type(s): Text
Data Source(s): newswire, fiction, transcribed speech, essays
Project(s): CoNLL
Application(s): syntactic parsing
Language(s): Bulgarian, Danish, Dutch, German, Japanese, Portuguese, Slovenian, Spanish, Swedish, Turkish
Language ID(s): bul, dan, nld, deu, jpn, por, slv, spa, swe, tur
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2015T11 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Bulgarian Academy of Sciences,, et al. 2006 CoNLL Shared Task - Ten Languages LDC2015T11. Web Download. Philadelphia: Linguistic Data Consortium, 2015.

Introduction

2006 CoNLL Shared Task - Ten Languages consists of dependency treebanks in ten languages used as part of the CoNLL 2006 shared task on multi-lingual dependency parsing. The languages covered in this release are: Bulgarian, Danish, Dutch, German, Japanese, Portuguese, Slovene, Spanish, Swedish and Turkish. LDC also released 2006 CoNLL Shared Task - Arabic & Czech (LDC2015T12).

This corpus is cross listed and jointly released with ELRA as ELRA-W0086.

The Conference on Computational Natural Language Learning (CoNLL) is accompanied every year by a shared task intended to promote natural language processing applications and evaluate them in a standard setting. In 2006, the shared task was devoted to the parsing of syntactic dependencies using corpora from up to thirteen languages. The task aimed to define and extend the then-current state of the art in dependency parsing, a technology that complemented previous tasks by producing a different kind of syntactic description of input text. More information about the 2006 shared task is available on the CoNLL-X web page.

LDC has released data sets from other CoNLL shared tasks. 2008 CoNLL Shared Task Data (LDC2009T12) contains the English material used in the 2008 shared task which focused on English, employed a unified dependency-based formalism and merged the tasks of syntactic dependency parsing, identifying semantic arguments and labeling them with semantic roles. 2009 CoNLL Shared Task Data Parts 1 and 2 (LDC2012T03 and LDC2012T04) consists of the English, Catalan, Chinese, Czech, German and Spanish resources used in the 2009 task which included a comparison of time and space complexity based on participants' input and learning curve comparison for languages with large datasets.

Data

The source data in the treebanks in this release consists principally of various texts (e.g., textbooks, news, literature) annotated in dependency format. In general, dependency grammar is based on the idea that the verb is the center of the clause structure and that other units in the sentence are connected to the verb as directed links or dependencies. This is a one-to-one correspondence: for every element in the sentence there is one node in the sentence structure that corresponds to that element. In constituency or phrase structure grammars, on the other hand, clauses are divided into noun phrases and verb phrases and in each sentence, one or more nodes may correspond to one element. The Penn Treebank (LDC99T42) is an example of a constituency or phrase structure approach. All of the data sets in this release are dependency treebanks.

The individual data sets are:

Samples

Please view these Japanese and Bulgarian samples.

Updates

None at this time.

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