Conditions on Consistency of Probabilistic Tree Adjoining Grammars

Computer Science – Computation and Language

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, 4 Postscript figures, uses colacl.sty, graphicx.sty, psfrag.sty

Scientific paper

Much of the power of probabilistic methods in modelling language comes from their ability to compare several derivations for the same string in the language. An important starting point for the study of such cross-derivational properties is the notion of _consistency_. The probability model defined by a probabilistic grammar is said to be _consistent_ if the probabilities assigned to all the strings in the language sum to one. From the literature on probabilistic context-free grammars (CFGs), we know precisely the conditions which ensure that consistency is true for a given CFG. This paper derives the conditions under which a given probabilistic Tree Adjoining Grammar (TAG) can be shown to be consistent. It gives a simple algorithm for checking consistency and gives the formal justification for its correctness. The conditions derived here can be used to ensure that probability models that use TAGs can be checked for _deficiency_ (i.e. whether any probability mass is assigned to strings that cannot be generated).

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Conditions on Consistency of Probabilistic Tree Adjoining Grammars does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Conditions on Consistency of Probabilistic Tree Adjoining Grammars, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Conditions on Consistency of Probabilistic Tree Adjoining Grammars will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-458228

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.