corpora

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corpora [2013/10/11 09:13] eroscorpora [2013/11/04 15:37] (current) – [English] eros
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 ===== English ===== ===== English =====
  
-  * **PukWaC**: the same as ukWaC, but with a further layer of annotation added, i.e. a full dependency parse. The parsing was performed with the [[http://maltparser.org/|MaltParser]].+  * **PukWaC**: the same as ukWaC, but with a further layer of annotation added, i.e. a full dependency parse. The parsing was performed with the [[http://maltparser.org/|MaltParser]]. Some useful information about the dependency relations used in PukWaC can be found on pp. 6 and 7 of {{:papers:conll-syntax.pdf|this article}}.
  
   * **ukWaC**: a 2 billion word corpus constructed from the Web limiting the crawl to the **.uk** domain and using medium-frequency words from the [[http://www.natcorp.ox.ac.uk/|BNC]] as seeds. The corpus was POS-tagged and lemmatized with the [[http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/|TreeTagger]]. The tagset is available {{:tagsets:ukwac_tagset.txt|here}}, more information can be found in this {{:papers:wacky_2008.pdf|paper}}.   * **ukWaC**: a 2 billion word corpus constructed from the Web limiting the crawl to the **.uk** domain and using medium-frequency words from the [[http://www.natcorp.ox.ac.uk/|BNC]] as seeds. The corpus was POS-tagged and lemmatized with the [[http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/|TreeTagger]]. The tagset is available {{:tagsets:ukwac_tagset.txt|here}}, more information can be found in this {{:papers:wacky_2008.pdf|paper}}.
  
   * **WaCkypedia_EN**: a 2009 dump of the English Wikipedia (about 800 million tokens), in the same format as PukWaC, including POS/lemma information, as well as a full dependency parse (parsing performed with the [[http://maltparser.org/|MaltParser]]). The texts were extracted from the dump and cleaned using the [[http://medialab.di.unipi.it/wiki/Wikipedia_extractor|Wikipedia extractor]].   * **WaCkypedia_EN**: a 2009 dump of the English Wikipedia (about 800 million tokens), in the same format as PukWaC, including POS/lemma information, as well as a full dependency parse (parsing performed with the [[http://maltparser.org/|MaltParser]]). The texts were extracted from the dump and cleaned using the [[http://medialab.di.unipi.it/wiki/Wikipedia_extractor|Wikipedia extractor]].
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 ===== French ===== ===== French =====
  
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 ===== German ===== ===== German =====
  
-  * **deWaC**: a 1.7 billion word corpus constructed from the Web limiting the crawl to the **.de** domain and using medium-frequency words from the SudDeutsche Zeitung corpus and basic German vocabulary lists as seeds. The corpus was POS-tagged and lemmatized with the [[http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/|TreeTagger]], more information available {{:papers:wacky_2008.pdf|here}}.+  * **deWaC**: a 1.7 billion word corpus constructed from the Web limiting the crawl to the **.de** domain and using medium-frequency words from the SudDeutsche Zeitung corpus and basic German vocabulary lists as seeds. The corpus was POS-tagged and lemmatized with the [[http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/|TreeTagger]] using this [[http://www.cis.uni-muenchen.de/~schmid/tools/TreeTagger/data/stts_guide.pdf|tagset]], more information available {{:papers:wacky_2008.pdf|here}}.
  
   * **sdewac** a 0.88 billion word corpus derived from deWaC, duplicate sentences and some noise have been removed. The corpus has been converted to Unicode. SdeWaC comes in two versions, in POS-tagged / lemmatized version or as a one sentence per line format, each supplemented with metadata (e.g. parse error rate). {{:papers:sdewac-description.pdf|More information on sdewac}}.   * **sdewac** a 0.88 billion word corpus derived from deWaC, duplicate sentences and some noise have been removed. The corpus has been converted to Unicode. SdeWaC comes in two versions, in POS-tagged / lemmatized version or as a one sentence per line format, each supplemented with metadata (e.g. parse error rate). {{:papers:sdewac-description.pdf|More information on sdewac}}.
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