Smart Grammar: A Dynamic Spoken Language Understanding Grammar for Inflective Languages
Vincenzo Catania, Raffaele Di Natale, Ylenia Cilano, Antonio Rosario Intilisano, Daniela Panno · International Journal on Natural Language Computing · 2014
Spoken language understanding (SLU) is a key requirement of spoken dialogue systems (SDS).The role of SLU parser is to robustly interpret the meanings of users' utterance using a hand-crafted grammar that is expensive to build.This task becomes even harder when the developer is creating a SLU grammar for inflectional languages due to the different conjugations and declensions.This causes long grammar definition files that are hard to structure and also to manage.In this paper, we propose a new and alternative method, called Smart Grammar to facilitate the development of speech enabled applications.This uses a morphological analyzer, in addition to the semantic parser, in order to convert each user utterance in the canonical form.