Show simple item record Papageorgiou, Haris Prokopidis, Prokopis
dc.contributor.other Prokopidis, Prokopis 2014-07-30T21:34:28Z 2014-07-30T21:34:28Z 2014-07-30
dc.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.
dc.publisher ILSP/R.C. "Athena"
dc.subject POS tagger
dc.title ILSP Feature-based multi-tiered POS Tagger
dc.type toolService
has.files no
additional.metadata Documentation language(s) (field_tool_documentation_langua):Greek Language(s) of input data (field_tool_input_language):Greek Implementation language(s) (field_tool_implementation_langu):Perl Software requirements (field_tool_software_requirement):Perl Short name (field_tool_short_name):ILSP FBT Tagger Readily Available (field_tool_available):No Nid:1166 Platform(s) (field_tool_platform):System independent Character encoding of output data (field_tool_char_encoding_output):Unicode (UTF-8)||Greek (ISO 8859-7) Approach (field_tool_aproach):Transformation-based error-driven learning Open source code (field_tool_open_source_code):no Language(s) of output data (field_tool_output_language):Greek Character encoding of input data (field_tool_char_encoding):Unicode (UTF-8)||Greek (ISO 8859-7) Relevant project(s) (field_tool_relevant_project):FBT Tagger is the result of an internal project at the Natural Language and Knowledge Extraction Department of ILSP/R.C. "Athena" Version (field_tool_version):1.0
branding LRT + Open Submissions
dc.coverage.placeName Greece
files.size 0
files.count 0

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