1,808 research outputs found

    Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking

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    The natural language generation (NLG) component of a spoken dialogue system (SDS) usually needs a substantial amount of handcrafting or a well-labeled dataset to be trained on. These limitations add significantly to development costs and make cross-domain, multi-lingual dialogue systems intractable. Moreover, human languages are context-aware. The most natural response should be directly learned from data rather than depending on predefined syntaxes or rules. This paper presents a statistical language generator based on a joint recurrent and convolutional neural network structure which can be trained on dialogue act-utterance pairs without any semantic alignments or predefined grammar trees. Objective metrics suggest that this new model outperforms previous methods under the same experimental conditions. Results of an evaluation by human judges indicate that it produces not only high quality but linguistically varied utterances which are preferred compared to n-gram and rule-based systems.Comment: To be appear in SigDial 201

    The Effects of Total Communication on the Expressive Language Behavior of Individuals Labeled Trainable Mentally Retarded

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    The practice of total communication in language training for non-deaf individuals labeled mentally retarded has been guided by very little empirical evidence. Therefore, the purpose of this study was to determine whether the use of a total communication approach facilitates an increase in the frequency of expressive language behavior in children labeled trainable mentally handicapped. The three subjects studied, one male and two females, were selected on the basis of age and I.Q. They were enrolled in a self-contained, public school which was located in a rural area of Illinois. A multi-element baseline procedure was used. Stimuli were presented using an oral method and a total communication method in an elicited play situation. All expressive language behavior was then recorded via frequency recording. The results indicated that there was no significant difference in the frequency of expressive language behavior when a total communication approach or an oral approach was used. The setting, the duration and the stimuli may all have been factors which influenced the results. Further research in this area is warranted

    The Effects of Total Communication on the Expressive Language Behavior of Individuals Labeled Trainable Mentally Retarded

    Get PDF
    The practice of total communication in language training for non-deaf individuals labeled mentally retarded has been guided by very little empirical evidence. Therefore, the purpose of this study was to determine whether the use of a total communication approach facilitates an increase in the frequency of expressive language behavior in children labeled trainable mentally handicapped. The three subjects studied, one male and two females, were selected on the basis of age and I.Q. They were enrolled in a self-contained, public school which was located in a rural area of Illinois. A multi-element baseline procedure was used. Stimuli were presented using an oral method and a total communication method in an elicited play situation. All expressive language behavior was then recorded via frequency recording. The results indicated that there was no significant difference in the frequency of expressive language behavior when a total communication approach or an oral approach was used. The setting, the duration and the stimuli may all have been factors which influenced the results. Further research in this area is warranted
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