| 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 |