Don't know what to contribute? Take any item below and do it. If it does look too cryptic - ask for a clarification.

• GUI
  • implement filtering (mapping, contexts and mapping table)
  • implement validation process
  • handle loader type and supply proper GUI
• Release datasets, including TaxME (Juan, by datasets I mean not only those for SM, but the ones I used for NLP)
• fix JWNL morphological operations - see example in std config with preprocessing this (getsenses, lookup): pleasant place with trees (, taste), meadows (, sight), spring or brook (, feeling), singing birds (, hearing) and flowers (, smell)
• unit tests
• refactor and include NLPTools
• web-service, web api
• "compressed" version of S-Match for mobile devices