The Statistical Natural Language Processing Group is part of the Department of Computational Linguistics.
Our research addresses various aspects of the problem of the confusion of languages, by means of statistical learning techniques.
Research topics include the following:
  • Statistical machine translation, statistical parsing, question answering, information retrieval, learning-to-rank.
  • Statistical machine learning methods, especially unsupervised, semi-supervised and discriminative learning techniques.
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1 to 10 of 19 Results
Gzip Archive - 241.8 MB - MD5: 35fde8d24e6e80bf932490549c991a3f
data
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...
Gzip Archive - 234.3 MB - MD5: 3bd140f68ab0eefe239e3e893012c991
de-en
data set de-en, Part 1/3 (License information: see part 1)
Gzip Archive - 1.3 GB - MD5: 2d1336fe8eecd100c01488f5e3e9bc97
de-en
data set de-en, Part 2/3
Gzip Archive - 1.3 GB - MD5: b838211b8ddc04001d79f7e1e2e066cb
de-en
data set de-en, Part 2/3 (License information: see part 1)
Gzip Archive - 669.7 MB - MD5: bf9d77a06ebd10d50648c2c8d300c5e2
en-fr
data set en-fr, Part 1/3
Gzip Archive - 1.0 GB - MD5: 421d98c4fea4eebd076044acffd77095
en-fr
data set en-fr, Part 2/3 (License information: see part 1)
Gzip Archive - 628.3 MB - MD5: a4a327f7104842bbc86ccb6bdfbc229e
en-fr
data set en-fr, Part 3/3 (License information: see part 1)
Gzip Archive - 645.5 MB - MD5: 120484093f5f930fe8646eb3b3be76e3
fr-de
data set fr-de, Part 1/1
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...
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