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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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...
Gzip Archive - 846.8 MB - MD5: 8f51894ff1c6ba2987d07dde62b3143d
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Documentation
Jun 16, 2014
Wäschle, Katharina; Riezler, Stefan, 2014, "PatTR: Patent Translation Resource", https://doi.org/10.11588/data/10002, heiDATA, V3
PatTR is a sentence-parallel corpus extracted from the MAREC patent collection. The current version contains more than 22 million German-English and 18 million French-English parallel sentences collected from all patent text sections as well as 5 million German-French sentence pa...
Gzip Archive - 17.2 GB - MD5: daf33d0f1242bad5a623b061fbaa426d
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Gzip Archive - 20.3 GB - MD5: 9fb23ee878584f4cab717e348cdeeaaf
Data
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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