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Topic modeling in fringe word prediction for AAC

Published: 29 January 2006 Publication History

Abstract

Word prediction can be used for enhancing the communication ability of persons with speech and language impairments. In this work, we explore two methods of adapting a language model to the topic of conversation, and apply these methods to the prediction of fringe words.

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  1. Topic modeling in fringe word prediction for AAC

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    cover image ACM Conferences
    IUI '06: Proceedings of the 11th international conference on Intelligent user interfaces
    January 2006
    392 pages
    ISBN:1595932879
    DOI:10.1145/1111449
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 29 January 2006

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    Author Tags

    1. AAC
    2. language modeling
    3. topic modeling
    4. word prediction

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    IUI06
    IUI06: 11th International Conference on Intelligent User Interfaces
    January 29 - February 1, 2006
    Sydney, Australia

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    Overall Acceptance Rate 746 of 2,811 submissions, 27%

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    Cited By

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    • (2020)F KLAVYE İÇİN METİN ANALİZİ TABANLI KELİME TAMAMLAMA SİSTEMİTEXT ANALYSIS BASED WORD COMPLETION SYSTEM FOR F KEYBOARDMühendislik Bilimleri ve Tasarım Dergisi10.21923/jesd.4038548:1(262-272)Online publication date: 20-Mar-2020
    • (2020)Predictive composition of pictogram messages for users with autismJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-01925-zOnline publication date: 13-Apr-2020
    • (2016)Augmentative and Alternative Communication Systems for the Motor DisabledLeadership and Personnel Management10.4018/978-1-4666-9624-2.ch031(680-727)Online publication date: 2016
    • (2015)Measuring the Performance of a Location-Aware Text Prediction SystemACM Transactions on Accessible Computing10.1145/27399987:1(1-29)Online publication date: 1-Jun-2015
    • (2015)Evaluating pictogram prediction in a location-aware augmentative and alternative communication systemAssistive Technology10.1080/10400435.2015.109218128:2(83-92)Online publication date: 19-Oct-2015
    • (2014)Augmentative and Alternative Communication Systems for the Motor DisabledDisability Informatics and Web Accessibility for Motor Limitations10.4018/978-1-4666-4442-7.ch004(105-152)Online publication date: 2014
    • (2012)Non-syntactic word prediction for AACProceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies10.5555/2392855.2392860(28-36)Online publication date: 7-Jun-2012
    • (2012)Applying prediction techniques to phoneme-based AAC systemsProceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies10.5555/2392855.2392859(19-27)Online publication date: 7-Jun-2012
    • (2012)Discourse-based modeling for AACProceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies10.5555/2392855.2392858(9-18)Online publication date: 7-Jun-2012
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