• 13-01-2011 Late registration deadline
  • 20-01-2011 Workshop takes place

Registration and payment must be made using the registration form.

The programme has been already published. Check it out here.

More information [+]

supervised algorithms publication information Introduction institutional morphologically corpora January Antonio licenses included November Deadline resources committee access Oberta developers conference researchers registration licences International knowledge available Programme organisers linguistic RBMT proceedings contact Catalunya data Alacant software freerbmt Workshop rule Barcelona language based source open free systems submission Universitat machine translation tagxedo

This workshop aims to bring together the experience of researchers and developers in the field of rule-based machine translation who have decided to get on board the free/open-source train and are effectively contributing to creating a commons of explicit knowledge: machine translation rules and dictionaries, and machine translation systems whose behaviour is transparent and clearly traceable through their explicit logic.


The main areas of interest for the workshop are as follows:

  • Language-independent toolkits, platforms, and frameworks for rule-based machine translation
  • Language-specific machine translation systems
  • Hybrid systems where RBMT is the main component
  • Manual and automated evaluation of machine translation systems, comparative evaluation of RBMT and SMT/hybrid systems.
  • Linguistic resources for RBMT (machine-readable dictionaries, part-of-speech taggers, morphological analysers, syntactic or semantic parsers etc.)
  • Methods for inducing/inferring data for RBMT systems (supervised, semi-supervised or unsupervised)
  • Interoperability between systems, tools, data
  • Practical descriptions of RBMT integration and usage (in publishing, by professional translators, for free/open-source software)

Note that this is intended as a guideline, and we welcome submissions on other aspects of free and open-source rule-based machine translation.