In this paper we describe an approach that both creates crosslingual acoustic monophone model sets for speech recognition tasks and objectively predicts their performance without ...
We describe a case study in tit(', application of symbolic machinc learning techniques for the discow;ry of linguistic rules and categories. A supervised rule induction algor...
This paper exanfines certain aspects of phonological structure from the viewpoint of ahstract data types, Our imnlediate goal is to find a format for l)honological representation ...
In this paper we present a means of defining morphonological phenomena in an inheritance based lexicon. We make use of the theory behind the formal language MOLUSC, in which morph...
This study presents new advancements in our articulatory-based language identi cation (LID) system. Our LID system automatically identi es language-features (LFs) from a phonologi...
Abhijeet Sangwan, Mahnoosh Mehrabani, John H. L. H...