de-francophones commited on
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en-fr/LICENSE ADDED
@@ -0,0 +1,331 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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en-fr/README ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
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+
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+ Download link: http://www.cl.uni-heidelberg.de/statnlpgroup/pattr/
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+ Author: Katharina Wäschle (waeschle@cl.uni-heidelberg.de)
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+ Date: 11/12/2013
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+
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+ PatTR is a parallel corpus extracted from documents in the MAREC patent
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+ collection [1]. The second release contains 18 million English-French
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+ parallel sentences collected from all patent text sections.
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+
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+
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+ TERMS OF USE
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+
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+ PatTR is licensed under a Creative Commons Attribution-NonCommercial-
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+ ShareAlike 3.0 Unported License (see LICENSE). Please cite
16
+ Wäschle & Riezler (2012b), if you use the corpus in your work.
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+
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+ 1. FILES
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+
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+ abstract/
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+ pattr.de-en.abstract.en
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+ pattr.de-en.abstract.fr
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+ pattr.de-en.abstract.meta
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+
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+ claims/
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+ pattr.de-en.claims.en
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+ pattr.de-en.claims.fr
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+ pattr.de-en.claims.meta
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+
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+ description/
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+ pattr.de-en.description.en
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+ pattr.de-en.description.en.meta
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+ pattr.de-en.description.fr
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+ pattr.de-en.description.fr.meta
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+
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+ title/
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+ pattr.de-en.title.en
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+ pattr.de-en.title.fr
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+ pattr.de-en.title.meta
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+
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+ *.en files contain English sentences, *.fr files corresponding French
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+ sentences. *.meta contain information about the document the
43
+ sentences were extracted from as tab-separated values:
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+
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+ - document id
46
+ - patent family id
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+ - publication data
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+ - IPC up to subclass level, comma-separated
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+
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+ For the description data, where the bitext has been collected from two
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+ separate documents, there is a metadata file for each of the source
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+ documents (*.fr.meta for the French document from the EPO corpus,
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+ *.en.meta for the English document from the USPTO corpus).
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+
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+ 2. DATA
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+
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+ The corpus is split into files according to the text sections of a
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+ patent document: title, abstract, claims and description.
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+ Parallel data from the title, abstract and claims sections were
60
+ extracted from documents belonging to the European Patent Office
61
+ (EPO) [2] and the World Intellectual Property Organization (WIPO) [3]
62
+ corpora in MAREC. Both resources feature multilingual documents that
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+ contain for example both an English and a French abstract.
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+
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+ Since there are no multilingual descriptions, data from this section
66
+ were collected by exploiting patent families to align French documents
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+ from the EPO corpus to English documents from the United States Patent
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+ and Trademark Office (USPTO) [4] corpus, following Utiyama and Isahara
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+ (2007).
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+
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+ All sections were sentence-aligned using the Gargantua aligner [5].
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+ Preprocessing was done automatically. Sentence boundaries were detected
73
+ using the Europarl processing tools [6].
74
+
75
+ 4. STATISTICS
76
+
77
+ Section Sentences en tokens fr tokens
78
+
79
+ title 2,504,772 19,458,540 23,605,412
80
+ abstract 3,697,670 130,801,982 144,591,792
81
+ claims 6,966,851 422,504,392 468,029,948
82
+ description 5,594,745 200,043,688 204,449,266
83
+
84
+ total 18,764,038 772,808,602 840,676,418
85
+
86
+ ACKNOWLEDGEMENTS
87
+
88
+ The work was in part supported by the "Cross-language Learning-to-Rank
89
+ for Patent Retrieval" project funded by the Deutsche
90
+ Forschungsgemeinschaft (DFG).
91
+
92
+ PUBLICATIONS
93
+
94
+ Wäschle, K. and Riezler, S. (2012a). Structural and Topical Dimensions
95
+ in Multi-Task Patent Translation. Proceedings of the 13th Conference of
96
+ the European Chapter of the Association for Computational Linguistics
97
+ (EACL 2012), Avignon, France.
98
+ http://www.aclweb.org/anthology-new/E/E12/E12-1083.pdf
99
+
100
+ Wäschle, K. and Riezler, S. (2012b). Analyzing Parallelism and Domain
101
+ Similarities in the MAREC Patent Corpus. Multidisciplinary Information
102
+ Retrieval, pp. 12-27.
103
+ http://www.cl.uni-heidelberg.de/~riezler/publications/papers/IRF2012.pdf
104
+
105
+ LINKS
106
+ 1. http://www.ir-facility.org/prototypes/marec
107
+ 2. http://www.epo.org
108
+ 3. http://www.wipo.int
109
+ 4. http://www.uspto.gov
110
+ 5. http://sourceforge.net/projects/gargantua
111
+ 6. http://www.statmt.org/europarl
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