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TEP

TEP: Tehran English-Persian parallel corpus

The first free Eng-Per corpus, provided by the Natural Language and Text Processing Laboratory, University of Tehran

Usage of this package for any research or non-commercial purposes requires the precondition that you cite the following paper:

M. T. Pilevar, H. Faili, and A. H. Pilevar, “TEP: Tehran English-Persian Parallel Corpus”, in proceedings of 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2011).

2 languages, total number of files: 2
total number of tokens: 8.90M
total number of sentence fragments: 1.22M

Please cite the following article if you use any part of the corpus in your own work:
Jörg Tiedemann, 2009, News from OPUS - A Collection of Multilingual Parallel Corpora with Tools and Interfaces. In N. Nicolov and K. Bontcheva and G. Angelova and R. Mitkov (eds.) Recent Advances in Natural Language Processing (vol V), pages 237-248, John Benjamins, Amsterdam/Philadelphia

Download

Complete download (XML): TEP0.1.tar.gz (50M )

Bottom-left triangle: download files
  • ces = sentence alignments in XCES format
  • leftmost column language IDs = corpus files in XML
  • TMX and plain text files (Moses): see "Statistics" below
  • lower row language IDs = parsed corpus files (if they exist)
Upper-right triangle: sample files
  • view = bilingual XML file samples
  • upper row language IDs = monolingual XML file samples
  • rightmost column language IDs = parsed XML file samples (if they exist)

en fa
en viewen
fa ces fa
en fa

Statistics and TMX/Moses Downloads

Number of files, tokens, and sentences per language (including non-parallel ones if they exist)
Number of sentence alignment units per language pair

Upper-right triangle: download translation memory files (TMX)
Bottom-left triangle: download plain text files (MOSES/GIZA++)

language files tokens sentencesenfa
en1 4.5M 0.6M0.6M
fa1 4.4M 0.6M0.6M

Note that TMX files only contain unique translation units and, therefore, the number of aligned units is smaller than for the distributions in Moses and XML format. Moses downloads include all non-empty alignment units including duplicates. Token counts for each language also include duplicate sentences and documents.