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|
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|
1 |
+
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
|
2 |
+
|
3 |
+
Download link: http://www.cl.uni-heidelberg.de/statnlpgroup/pattr/
|
4 |
+
Author: Katharina Wäschle (waeschle@cl.uni-heidelberg.de)
|
5 |
+
Date: 28/02/2013
|
6 |
+
|
7 |
+
PatTR is a parallel corpus extracted from documents in the MAREC patent
|
8 |
+
collection [1]. The first release contains 23 million German-English
|
9 |
+
parallel sentences collected from all patent text sections.
|
10 |
+
|
11 |
+
|
12 |
+
0. TERMS OF USE
|
13 |
+
|
14 |
+
PatTR is licensed under a Creative Commons Attribution-NonCommercial-
|
15 |
+
ShareAlike 3.0 Unported License (see LICENSE). Please cite
|
16 |
+
Wäschle & Riezler (2012b), if you use the corpus in your work.
|
17 |
+
|
18 |
+
1. FILES
|
19 |
+
|
20 |
+
abstract/
|
21 |
+
pattr.de-en.abstract.de
|
22 |
+
pattr.de-en.abstract.en
|
23 |
+
pattr.de-en.abstract.meta
|
24 |
+
|
25 |
+
claims/
|
26 |
+
pattr.de-en.claims.de
|
27 |
+
pattr.de-en.claims.en
|
28 |
+
pattr.de-en.claims.meta
|
29 |
+
|
30 |
+
description/
|
31 |
+
pattr.de-en.description.de
|
32 |
+
pattr.de-en.description.de.meta
|
33 |
+
pattr.de-en.description.en
|
34 |
+
pattr.de-en.description.en.meta
|
35 |
+
|
36 |
+
title/
|
37 |
+
pattr.de-en.title.de
|
38 |
+
pattr.de-en.title.en
|
39 |
+
pattr.de-en.title.meta
|
40 |
+
|
41 |
+
*.de files contain German sentences, *.en files corresponding English
|
42 |
+
sentences. *.meta contain information about the document the
|
43 |
+
sentences were extracted from as tab-separated values:
|
44 |
+
|
45 |
+
- document id
|
46 |
+
- patent family id
|
47 |
+
- publication data
|
48 |
+
- IPC up to subclass level, comma-separated
|
49 |
+
|
50 |
+
For the description data, where the bitext has been collected from two
|
51 |
+
separate documents, there is a metadata file for each of the source
|
52 |
+
documents (*.de.meta for the German document from the EPO corpus,
|
53 |
+
*.en.meta for the English document from the USPTO corpus).
|
54 |
+
|
55 |
+
2. DATA
|
56 |
+
|
57 |
+
The corpus is split into files according to the text sections of a
|
58 |
+
patent document: title, abstract, claims and description.
|
59 |
+
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
|
63 |
+
contain for example both an English and a German abstract.
|
64 |
+
|
65 |
+
Since there are no multilingual descriptions, data from this section
|
66 |
+
were collected by exploiting patent families to align German documents
|
67 |
+
from the EPO corpus to English documents from the United States Patent
|
68 |
+
and Trademark Office (USPTO) [4] corpus, following Utiyama and Isahara
|
69 |
+
(2007).
|
70 |
+
|
71 |
+
All sections were sentence-aligned using the Gargantua aligner [5].
|
72 |
+
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 DE tokens
|
78 |
+
|
79 |
+
title 2,101,107 16,457,527 13,212,645
|
80 |
+
abstract 720,571 30,942,571 26,803,868
|
81 |
+
claims 8,346,863 501,373,533 435,117,827
|
82 |
+
description 11,829,816 498,948,414 386,920,744
|
83 |
+
total 22,998,357 1,047,722,045 862,055,084
|
84 |
+
|
85 |
+
5. TEST SETS
|
86 |
+
|
87 |
+
The training and test sets used in Wäschle & Riezler (2012a) can be
|
88 |
+
provided on request to waeschle@cl.uni-heidelberg.de. For creating
|
89 |
+
custom training and test sets, an easy option is to split the corpus by
|
90 |
+
document publication date. Note, that abstract and claims data contain
|
91 |
+
a small amount (less than 1%) of duplicate and near-duplicate sentences
|
92 |
+
due to multiple instances of the same patent document in the two
|
93 |
+
corpora. To prevent overlap, make sure family ids of test and training
|
94 |
+
set are disjunct. Furthermore, about 7% of the description data are
|
95 |
+
duplicates. This is caused by the patent writing process, where whole
|
96 |
+
paragraphs are copied verbatim from other documents, e.g. when parts of
|
97 |
+
an invention are similar to a previously filed one. These documents do
|
98 |
+
not share a patent id, so they cannot be easily identified. Indicators
|
99 |
+
are mutual citations and documents filed by the same company. We did
|
100 |
+
not remove these duplicates because they are a feature of patent
|
101 |
+
corpora. Since patent titles are very short and general, 15% of title
|
102 |
+
data are natural duplicates.
|
103 |
+
|
104 |
+
6. ACKNOWLEDGEMENTS
|
105 |
+
|
106 |
+
The work was in part supported by the "Cross-language Learning-to-Rank
|
107 |
+
for Patent Retrieval" project funded by the Deutsche
|
108 |
+
Forschungsgemeinschaft (DFG).
|
109 |
+
|
110 |
+
PUBLICATIONS
|
111 |
+
|
112 |
+
Wäschle, K. and Riezler, S. (2012a). Structural and Topical Dimensions
|
113 |
+
in Multi-Task Patent Translation. Proceedings of the 13th Conference of
|
114 |
+
the European Chapter of the Association for Computational Linguistics
|
115 |
+
(EACL 2012), Avignon, France.
|
116 |
+
http://www.aclweb.org/anthology-new/E/E12/E12-1083.pdf
|
117 |
+
|
118 |
+
Wäschle, K. and Riezler, S. (2012b). Analyzing Parallelism and Domain
|
119 |
+
Similarities in the MAREC Patent Corpus. Multidisciplinary Information
|
120 |
+
Retrieval, pp. 12-27.
|
121 |
+
http://www.cl.uni-heidelberg.de/~riezler/publications/papers/IRF2012.pdf
|
122 |
+
|
123 |
+
LINKS
|
124 |
+
1. http://www.ir-facility.org/prototypes/marec
|
125 |
+
2. http://www.epo.org
|
126 |
+
3. http://www.wipo.int
|
127 |
+
4. http://www.uspto.gov
|
128 |
+
5. http://sourceforge.net/projects/gargantua
|
129 |
+
6. http://www.statmt.org/europarl
|
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THE WORK (AS DEFINED BELOW) IS PROVIDED UNDER THE TERMS OF THIS
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|
1 |
+
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
|
2 |
+
|
3 |
+
Download link: http://www.cl.uni-heidelberg.de/statnlpgroup/pattr/
|
4 |
+
Author: Katharina Wäschle (waeschle@cl.uni-heidelberg.de)
|
5 |
+
Date: 11/12/2013
|
6 |
+
|
7 |
+
PatTR is a parallel corpus extracted from documents in the MAREC patent
|
8 |
+
collection [1]. The second release contains 18 million English-French
|
9 |
+
parallel sentences collected from all patent text sections.
|
10 |
+
|
11 |
+
|
12 |
+
TERMS OF USE
|
13 |
+
|
14 |
+
PatTR is licensed under a Creative Commons Attribution-NonCommercial-
|
15 |
+
ShareAlike 3.0 Unported License (see LICENSE). Please cite
|
16 |
+
Wäschle & Riezler (2012b), if you use the corpus in your work.
|
17 |
+
|
18 |
+
1. FILES
|
19 |
+
|
20 |
+
abstract/
|
21 |
+
pattr.de-en.abstract.en
|
22 |
+
pattr.de-en.abstract.fr
|
23 |
+
pattr.de-en.abstract.meta
|
24 |
+
|
25 |
+
claims/
|
26 |
+
pattr.de-en.claims.en
|
27 |
+
pattr.de-en.claims.fr
|
28 |
+
pattr.de-en.claims.meta
|
29 |
+
|
30 |
+
description/
|
31 |
+
pattr.de-en.description.en
|
32 |
+
pattr.de-en.description.en.meta
|
33 |
+
pattr.de-en.description.fr
|
34 |
+
pattr.de-en.description.fr.meta
|
35 |
+
|
36 |
+
title/
|
37 |
+
pattr.de-en.title.en
|
38 |
+
pattr.de-en.title.fr
|
39 |
+
pattr.de-en.title.meta
|
40 |
+
|
41 |
+
*.en files contain English sentences, *.fr files corresponding French
|
42 |
+
sentences. *.meta contain information about the document the
|
43 |
+
sentences were extracted from as tab-separated values:
|
44 |
+
|
45 |
+
- document id
|
46 |
+
- patent family id
|
47 |
+
- publication data
|
48 |
+
- IPC up to subclass level, comma-separated
|
49 |
+
|
50 |
+
For the description data, where the bitext has been collected from two
|
51 |
+
separate documents, there is a metadata file for each of the source
|
52 |
+
documents (*.fr.meta for the French document from the EPO corpus,
|
53 |
+
*.en.meta for the English document from the USPTO corpus).
|
54 |
+
|
55 |
+
2. DATA
|
56 |
+
|
57 |
+
The corpus is split into files according to the text sections of a
|
58 |
+
patent document: title, abstract, claims and description.
|
59 |
+
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
|
63 |
+
contain for example both an English and a French abstract.
|
64 |
+
|
65 |
+
Since there are no multilingual descriptions, data from this section
|
66 |
+
were collected by exploiting patent families to align French documents
|
67 |
+
from the EPO corpus to English documents from the United States Patent
|
68 |
+
and Trademark Office (USPTO) [4] corpus, following Utiyama and Isahara
|
69 |
+
(2007).
|
70 |
+
|
71 |
+
All sections were sentence-aligned using the Gargantua aligner [5].
|
72 |
+
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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|
1 |
+
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
|
2 |
+
|
3 |
+
Download link: http://www.cl.uni-heidelberg.de/statnlpgroup/pattr/
|
4 |
+
Author: Katharina Wäschle (waeschle@cl.uni-heidelberg.de)
|
5 |
+
Date: 11/12/2013
|
6 |
+
|
7 |
+
PatTR is a parallel corpus extracted from documents in the MAREC patent
|
8 |
+
collection [1]. The first release contains 5 million French-German
|
9 |
+
parallel sentences collected from title, abstract and claims sections.
|
10 |
+
|
11 |
+
|
12 |
+
TERMS OF USE
|
13 |
+
|
14 |
+
PatTR is licensed under a Creative Commons Attribution-NonCommercial-
|
15 |
+
ShareAlike 3.0 Unported License (see LICENSE). Please cite
|
16 |
+
Wäschle & Riezler (2012b), if you use the corpus in your work.
|
17 |
+
|
18 |
+
1. FILES
|
19 |
+
|
20 |
+
abstract/
|
21 |
+
pattr.de-en.abstract.de
|
22 |
+
pattr.de-en.abstract.fr
|
23 |
+
pattr.de-en.abstract.meta
|
24 |
+
|
25 |
+
claims/
|
26 |
+
pattr.de-en.claims.de
|
27 |
+
pattr.de-en.claims.fr
|
28 |
+
pattr.de-en.claims.meta
|
29 |
+
|
30 |
+
title/
|
31 |
+
pattr.de-en.title.de
|
32 |
+
pattr.de-en.title.fr
|
33 |
+
pattr.de-en.title.meta
|
34 |
+
|
35 |
+
*.de files contain German sentences, *.fr files corresponding French
|
36 |
+
sentences. *.meta contain information about the document the
|
37 |
+
sentences were extracted from as tab-separated values:
|
38 |
+
|
39 |
+
- document id
|
40 |
+
- patent family id
|
41 |
+
- publication data
|
42 |
+
- IPC up to subclass level, comma-separated
|
43 |
+
|
44 |
+
2. DATA
|
45 |
+
|
46 |
+
The corpus is split into files according to the text sections of a
|
47 |
+
patent document: title, abstract, claims and description.
|
48 |
+
Parallel data from the title, abstract and claims sections were
|
49 |
+
extracted from documents belonging to the European Patent Office
|
50 |
+
(EPO) [2] and the World Intellectual Property Organization (WIPO) [3]
|
51 |
+
corpora in MAREC. Both resources feature multilingual documents that
|
52 |
+
contain for example both a French and a German abstract.
|
53 |
+
|
54 |
+
All sections were sentence-aligned using the Gargantua aligner [4].
|
55 |
+
Preprocessing was done automatically. Sentence boundaries were detected
|
56 |
+
using the Europarl processing tools [5].
|
57 |
+
|
58 |
+
4. STATISTICS
|
59 |
+
|
60 |
+
Section Sentences fr tokens de tokens
|
61 |
+
|
62 |
+
title 1,953,815 18,337,771 12,229,339
|
63 |
+
abstract 122,440 5,816,764 4,594,012
|
64 |
+
claims 3,034,007 206,982,238 162,760,901
|
65 |
+
|
66 |
+
total 5,110,262 231,136,773 179,584,252
|
67 |
+
|
68 |
+
ACKNOWLEDGEMENTS
|
69 |
+
|
70 |
+
The work was in part supported by the "Cross-language Learning-to-Rank
|
71 |
+
for Patent Retrieval" project funded by the Deutsche
|
72 |
+
Forschungsgemeinschaft (DFG).
|
73 |
+
|
74 |
+
PUBLICATIONS
|
75 |
+
|
76 |
+
Wäschle, K. and Riezler, S. (2012a). Structural and Topical Dimensions
|
77 |
+
in Multi-Task Patent Translation. Proceedings of the 13th Conference of
|
78 |
+
the European Chapter of the Association for Computational Linguistics
|
79 |
+
(EACL 2012), Avignon, France.
|
80 |
+
http://www.aclweb.org/anthology-new/E/E12/E12-1083.pdf
|
81 |
+
|
82 |
+
Wäschle, K. and Riezler, S. (2012b). Analyzing Parallelism and Domain
|
83 |
+
Similarities in the MAREC Patent Corpus. Multidisciplinary Information
|
84 |
+
Retrieval, pp. 12-27.
|
85 |
+
http://www.cl.uni-heidelberg.de/~riezler/publications/papers/IRF2012.pdf
|
86 |
+
|
87 |
+
LINKS
|
88 |
+
1. http://www.ir-facility.org/prototypes/marec
|
89 |
+
2. http://www.epo.org
|
90 |
+
3. http://www.wipo.int
|
91 |
+
4. http://sourceforge.net/projects/gargantua
|
92 |
+
5. http://www.statmt.org/europarl
|
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