Regulus for DORIS, continued

I did some more tweaking of the DORIS grammar, and it now covers about 90% of Patrick's corpus. The Nuance grammar it generates is nice and compact (less than 1000 rules), and many of the remaining coverage holes still look easy to solve. As we hoped, this seems to be a good domain for Regulus.

Regulus for DORIS

When I was visiting Melbourne Uni last week, I talked with Patrick Ye about the possibility of using Regulus to provide speech recognition for the DORIS project, which, as he pointed out, is in fact quite similar to SHRD2; in both domains, the basic idea is to find things, pick them up, and move them around. I did indeed find it very easy to use the examples corpus and vocabulary that Patrick sent me to adapt the existing SHRD2 resources, and in just a few hours put together an initial Regulus grammar that could be compiled into a recogniser. The current version of the grammar covers a bit more than 80% of Patrick's corpus, and the recogniser can turn spoken sentences in Australian-accented English into either strings of words or scoped logical forms. For example, here's the representation it produces of "the red book is on the desk":

[[dcl,
  quant(def_sing, A, [[book,A],[color,A,red]],
        quant(def_sing, B,
              [[desk,B]],
              quant(exist,C,[[be_on_loc,C,A,B],[tense,C,present]],true)))]]

If people want to look at the details, the files are checked in at http://regulus.cvs.sourceforge.net/viewvc/regulus/Regulus/Examples/Doris/. The interesting ones are the lexicon, at http://regulus.cvs.sourceforge.net/viewvc/regulus/Regulus/Examples/Doris/Regulus/doris_lex.regulus, and the corpus, at http://regulus.cvs.sourceforge.net/viewvc/regulus/Regulus/Examples/Doris/corpora/doris_corpus.pl