Tree transducers are extensions of string transducers
Rather than locally mutating strings, tree transducers locally mutate parse trees.
Formal rules for intersection and composition of tree transducers make them amenable to phylogenetic alignment
and in particular multiple RNA alignment
Tree transducers can be used to perform structural alignment of multiple RNAs or even reconstruct possible ancestral RNA structures.
Our programs, EvolDoer
, can (respectively)
align & fold two non-coding RNAs (evoldoer) or reconstruct the most-probable ancestral structure of three non-coding RNAs (evolstar),
using tree transducers to model RNA structural change.
Tree transducers (or parse tree transducers
) are essentially equivalent to Pair Stochastic Context-Free Grammars.
They are also closely related to pushdown automata.
"Pair HMMs on Tree Structures" (Sakakibara
) are similar models.
- Computational linguistics
package uses tree transducers:
- EvolSayer does forward-simulation of a continuous-time model (the TKF structure tree) whose finite-time transitions can be described by a time-parameterized tree transducer
- EvolDoer does pairwise alignment & inference under this same model (TKF structure tree), using pair SCFGs
- IndieGram, RobertBradley's graduate project, creates a 4-tape SCFG via a three-transducer composition on a star toplogy, then uses this for multiple alignment & ancestral inference on 3 sequences