Between Sound and Spelling: Combining Phonetics and Clustering Algorithms to Improve Target Word Recovery

Marcos Zampieri, Renato Cordeiro De Amorim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    Abstract

    In this paper we revisit the task of spell checking focusing on target word recovery. We propose a new approach that relies on phonetic information to improve the accuracy of clustering algorithms in identifying misspellings and generating accurate suggestions. The use of phonetic information is not new to the task of spell checking and it was used successfully in previous approaches. The combination of phonetics and cluster-based methods for spell checking was to our knowledge not yet explored and it is the new contribution of our work. We report an improvement of 8.16% accuracy when compared to a previously proposed spell checking approach.
    Original languageEnglish
    Title of host publicationAdvances in Natural Language Processing
    Subtitle of host publication9th International Conference on NLP, PolTAL 2014
    PublisherSpringer Nature
    Pages438-449
    ISBN (Electronic)978-3-319-10888-9
    ISBN (Print)978-3-319-10887-2
    DOIs
    Publication statusPublished - 2014
    Event9th International Conference on NLP, PoITAL 2014 - Warsaw, Poland
    Duration: 17 Sept 201419 Sept 2014

    Publication series

    NameLecture Notes in Artificial Intelligence
    Volume8686

    Conference

    Conference9th International Conference on NLP, PoITAL 2014
    Country/TerritoryPoland
    CityWarsaw
    Period17/09/1419/09/14

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