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dc.contributor.author |
Varga, Dániel |
dc.contributor.author |
Simon, Eszter |
dc.date.accessioned |
2014-07-30T21:34:46Z |
dc.date.available |
2014-07-30T21:34:46Z |
dc.date.issued |
2014-07-30 |
dc.identifier.uri |
http://hdl.handle.net/11372/LRT-1336 |
dc.description |
Hungarian named entity recognition with a maximum entropy approach |
dc.publisher |
Budapest Technical University Media Research Centre |
dc.title |
hunner - named entitiy recognizer for Hungarian |
dc.type |
toolService |
has.files |
no |
additional.metadata |
Documentation language(s) (field_tool_documentation_langua):English||Hungarian
Language(s) of input data (field_tool_input_language):Hungarian
Short name (field_tool_short_name):hunner
Readily Available (field_tool_available):No
Availibility (field_tool_availibility):Freely available after contacting the developer
Nid:2326
Platform(s) (field_tool_platform):UNIX
Character encoding of output data (field_tool_char_encoding_output):Latin 2 (ISO 8859-2)
Documentation link (field_tool_document_link):http://mokk.bme.hu/archive/acta07
Approach (field_tool_aproach):MaxEnt
Open source code (field_tool_open_source_code):yes
Language(s) of output data (field_tool_output_language):Hungarian
Character encoding of input data (field_tool_char_encoding):Latin 2 (ISO 8859-2) |
branding |
LRT + Open Submissions |
dc.coverage.placeName |
Hungary |
files.size |
0 |
files.count |
0 |
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