1 to 10 of 19 Results
Jun 13, 2020
Beilharz, Benjamin; Sun, Xin, 2019, "LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition", https://doi.org/10.11588/data/TMEDTX, heiDATA, V2
This dataset is a corpus of sentence-aligned triples of German audio, German text, and English translation, based on German audio books. The corpus consists of over 100 hours of audio material and over 50k parallel sentences. The speech data are low in disfluencies because of the... |
Jun 13, 2020 -
LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition
Gzip Archive - 20.3 GB -
MD5: 9fb23ee878584f4cab717e348cdeeaaf
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Jun 13, 2020 -
LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition
Gzip Archive - 17.2 GB -
MD5: daf33d0f1242bad5a623b061fbaa426d
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Oct 21, 2019 -
LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition
Markdown Text - 4.3 KB -
MD5: 971f62ef7dc31254dfc0e25f14347bc1
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Jun 18, 2014
Hieber, Felix; Schamoni, Shigehiko; Sokolov, Artem; Riezler, Stefan, 2014, "WikiCLIR: A Cross-Lingual Retrieval Dataset from Wikipedia", https://doi.org/10.11588/data/10003, heiDATA, V1
WikiCLIR is a large-scale (German-English) retrieval data set for Cross-Language Information Retrieval (CLIR). It contains a total of 245,294 German single-sentence queries with 3,200,393 automatically extracted relevance judgments for 1,226,741 English Wikipedia articles as docu... |
Jun 18, 2014 -
WikiCLIR: A Cross-Lingual Retrieval Dataset from Wikipedia
Plain Text - 1.8 KB -
MD5: f2d15639b962977ea19a20308bccbfc4
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Jun 18, 2014 -
WikiCLIR: A Cross-Lingual Retrieval Dataset from Wikipedia
Gzip Archive - 846.8 MB -
MD5: 8f51894ff1c6ba2987d07dde62b3143d
data set |
Jun 16, 2014
Sokolov, Artem; Jehl Laura; Hieber Felix; Ruppert, Eugen; Riezler, Stefan, 2014, "BoostCLIR: JP-EN Relevance Marked Patent Corpus", https://doi.org/10.11588/data/10001, heiDATA, V1
BoostCLIR is a bilingual (Japanese-English) corpus of patent abstracts, extracted from the MAREC patent data, and the data from the NTCIR PatentMT workshop collections, accompanied with relevance judgements for the task of patent prior-art search. Important: The English side of t... |
Jun 16, 2014 -
BoostCLIR: JP-EN Relevance Marked Patent Corpus
Gzip Archive - 241.8 MB -
MD5: 35fde8d24e6e80bf932490549c991a3f
data set |
Jun 16, 2014 -
BoostCLIR: JP-EN Relevance Marked Patent Corpus
Plain Text - 1.5 KB -
MD5: 544fa4db045f692d07a7d4596da99741
README |