MultiUN: A Multilingual Corpus from United Nation Documents

@inproceedings{Eisele2010MultiUNAM,
  title={MultiUN: A Multilingual Corpus from United Nation Documents},
  author={Andreas Eisele and Yu Chen},
  booktitle={LREC},
  year={2010}
}
This paper describes the acquisition, preparation and properties of a corpus extracted from the official documents of the United Nations (UN). This corpus is available in all 6 official languages of the UN, consisting of around 300 million words per language. We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment… CONTINUE READING
Highly Influential
This paper has highly influenced 12 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 157 citations. REVIEW CITATIONS

5 Figures & Tables

Topics

Statistics

02040201020112012201320142015201620172018
Citations per Year

158 Citations

Semantic Scholar estimates that this publication has 158 citations based on the available data.

See our FAQ for additional information.