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ILSP Feature-based multi-tiered POS Tagger

 
LRT + Open Submissions
  Authors
Papageorgiou, Haris ; Prokopidis, Prokopis ; Prokopidis, Prokopis
  Item identifier
http://hdl.handle.net/11372/LRT-1308
 Date issued
2014-07-30
 Type
toolService
 Description
ILSP FBT Tagger is an adaptation of the Brill tagger trained on Greek text. It uses a PAROLE compatible tagset of 584 different tags which capture the morphosyntactic particularities of the Greek language. Working on the output of a sentence detection and tokenisation tool, the tagger assigns initial tags, looking up in a lexicon created from a manually annotated corpus during training. A suffix lexicon is used for initially tagging unknown words. 799 contextual rules are then applied to improve the initial phase output.
 Publisher
ILSP/R.C. "Athena"
 Subject(s)
POS tagger
 Collection(s)
LRT + Open Submissions Data & Tools
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Partners, Coordination, Funding

  • Dept. of Cybernetics, Univ. of West Bohemia
  • Institute of Formal and Applied Linguistics (Prague)
  • Institute of Czech Language (Prague)
  • NLP Centre, Masaryk University (Brno)
  • Ministry of Education, Sports and Youth of the Czech Republic

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THE LINDAT/CLARIAH-CZ PROJECT (LM2018101; which is a direct legal successor of the LINDAT/CLARIN projects LM2010013 and LM2015071)
IS FULLY SUPPORTED BY THE MINISTRY OF EDUCATION, SPORTS AND YOUTH OF THE CZECH REPUBLIC
UNDER THE PROGRAMME LM OF "LARGE INFRASTRUCTURES".

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