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Author Loo, Janneke Van De ♦ Pauw, Guy De ♦ Gemmeke, Jort F. ♦ Karsmakers, Peter ♦ Van, Bert ♦ Broeck, Den ♦ Daelemans, Walter ♦ Hamme, Hugo Van
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword User Utterance ♦ Training Data ♦ Accurate Concept Tagging ♦ Self-learning Grammar Module ♦ Towards Shallow Grammar Induction ♦ Curve Experiment ♦ Encouraging Result ♦ Shallow Concept-tagging Approach ♦ Assistive Vocal Interface ♦ Card Game Patience ♦ Unseen Utterance ♦ Intended Meaning ♦ Preliminary Experiment ♦ Minimal Amount ♦ Physical Impairment ♦ Adaptive Assistive Vocal Interface ♦ Aladin Project ♦ Case Study
Description This paper describes research within the ALADIN project, which aims to develop an adaptive, assistive vocal interface for people with a physical impairment. One of the components in this interface is a self-learning grammar module, which maps a user’s utterance to its intended meaning. This paper describes a case study of the learnability of this task on the basis of a corpus of commands for the card game patience. The collection, transcription and annotation of this corpus is outlined in this paper, followed by results of preliminary experiments using a shallow concept-tagging approach. Encouraging results are observed during learning curve experiments, that gauge the minimal amount of training data needed to trigger accurate concept tagging of previously unseen utterances. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Institution in Proceedings NLP4ITA, 2012