The unsupervised learning of natural language structure
The unsupervised learning of natural language structure
Natural Language Processing (Almost) from Scratch
The Journal of Machine Learning Research
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This paper introduces research within the ALADIN project, which aims to develop an assistive vocal interface for people with a physical impairment. In contrast to existing approaches, the vocal interface is self-learning, which means it can be used with any language, dialect, vocabulary and grammar. This paper describes the overall learning framework, and the two components that will provide vocabulary learning and grammar induction. In addition, the paper describes encouraging results of early implementations of these vocabulary and grammar learning components, applied to recorded sessions of a vocally guided card game, Patience.