Year: 2010
Type: conference-paper
Abstract: 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 performed on this corpus.
Authors: Andreas Eisele, Yu Chen
Institution: German Research Centre for Artificial Intelligence
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W11511616