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 (waeschle@cl.uni-heidelberg.de)
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