Home > People & Projects > Understanding Indonesian: developing a machine-usable grammar, dictionary and corpus

Project Details

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Project Name: 
Understanding Indonesian: developing a machine-usable grammar, dictionary and corpus
Principal Investigator / Director: 
Mary Dalrymple
Oxford participants: 
Mary Dalrymple (Main Contact)
Other Participants: 
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  • Division: Humanities
  • Unit: Linguistics, Philology & Phonetics Faculty
  • Sub-Unit: not specified
Start Date: 
not specified
End Date: 
not specified
Partner organizations (inside or outside Oxford): 
Jane Simpson (Linguistics, Sydney University, Australia), I Wayan Arka and Avery Andrews (Linguistics, ANU, Australia)
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Subject Area: 
Project Description: 

Indonesian is one of the world’s major spoken languages, and is increasingly used on the web. With this increasing availability of digital unstructured language data, language resources are needed for improving machine translation, data mining and other computational linguistic tasks. This project aims to build these resources by carrying out research on Indonesian to create a robust computational grammar, corpus and lexicon (including social variation) within the Pargram framework. Pargram is an international collaborative project to develop computational grammars within a shared linguistic framework based on common linguistic assumptions. The outcomes of this project should lead to a better understanding of Indonesian grammar as well as creating reliable machine-usable language resources.

ICT Methods: 
Data CaptureData ReuseUse of existing digital data
Sound and Music CaptureSound recording
Data analysisText AnalysisContent analysis
- -Indexing
- -Parsing
- -Text mining
Strategy and project managementICT Project ManagementDocumentation
- -Strategic management
Last updated: 
25/06/2015 16:24:50
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