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P A T T R : P A T E N T T R A N S L A T I O N R E S O U R C E
Download link: http://www.cl.uni-heidelberg.de/statnlpgroup/pattr/
Author: Katharina Wäschle ([email protected])
Date: 11/12/2013
PatTR is a parallel corpus extracted from documents in the MAREC patent
collection [1]. The first release contains 5 million French-German
parallel sentences collected from title, abstract and claims sections.
TERMS OF USE
PatTR is licensed under a Creative Commons Attribution-NonCommercial-
ShareAlike 3.0 Unported License (see LICENSE). Please cite
Wäschle & Riezler (2012b), if you use the corpus in your work.
1. FILES
abstract/
pattr.de-en.abstract.de
pattr.de-en.abstract.fr
pattr.de-en.abstract.meta
claims/
pattr.de-en.claims.de
pattr.de-en.claims.fr
pattr.de-en.claims.meta
title/
pattr.de-en.title.de
pattr.de-en.title.fr
pattr.de-en.title.meta
*.de files contain German sentences, *.fr files corresponding French
sentences. *.meta contain information about the document the
sentences were extracted from as tab-separated values:
- document id
- patent family id
- publication data
- IPC up to subclass level, comma-separated
2. DATA
The corpus is split into files according to the text sections of a
patent document: title, abstract, claims and description.
Parallel data from the title, abstract and claims sections were
extracted from documents belonging to the European Patent Office
(EPO) [2] and the World Intellectual Property Organization (WIPO) [3]
corpora in MAREC. Both resources feature multilingual documents that
contain for example both a French and a German abstract.
All sections were sentence-aligned using the Gargantua aligner [4].
Preprocessing was done automatically. Sentence boundaries were detected
using the Europarl processing tools [5].
4. STATISTICS
Section Sentences fr tokens de tokens
title 1,953,815 18,337,771 12,229,339
abstract 122,440 5,816,764 4,594,012
claims 3,034,007 206,982,238 162,760,901
total 5,110,262 231,136,773 179,584,252
ACKNOWLEDGEMENTS
The work was in part supported by the "Cross-language Learning-to-Rank
for Patent Retrieval" project funded by the Deutsche
Forschungsgemeinschaft (DFG).
PUBLICATIONS
Wäschle, K. and Riezler, S. (2012a). Structural and Topical Dimensions
in Multi-Task Patent Translation. Proceedings of the 13th Conference of
the European Chapter of the Association for Computational Linguistics
(EACL 2012), Avignon, France.
http://www.aclweb.org/anthology-new/E/E12/E12-1083.pdf
Wäschle, K. and Riezler, S. (2012b). Analyzing Parallelism and Domain
Similarities in the MAREC Patent Corpus. Multidisciplinary Information
Retrieval, pp. 12-27.
http://www.cl.uni-heidelberg.de/~riezler/publications/papers/IRF2012.pdf
LINKS
1. http://www.ir-facility.org/prototypes/marec
2. http://www.epo.org
3. http://www.wipo.int
4. http://sourceforge.net/projects/gargantua
5. http://www.statmt.org/europarl