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Machine Learning for Natural Language Processing

Machine Learning for Natural Language Processing

In this group: 117 papers · 68 members
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  4. The influence of different diagnostic approaches on familial aggregation of spelling disability.
    H Remschmidt, K Hennighausen, G Schulte-Körne, W Deimel, A Warnke in European child adolescent psychiatry (1999)
    The influence of different diagnostic approaches on familial aggregation of spelling disability was investigated in three studies. In the first study, in a sample of 32 dyslexic children and their families, we found significantly increased rates of…
    Added 2011-10-12
  5. The issue of negative evidence: Adult responses to children's language errors
    J Bohannon, L Stanowicz in Developmental Psychology (1988)
    This study was designed to assess one of the major assumptions of current language learning theories: Adults ignore children's speech errors. We observed both parents (n = 16) and nonparent adults (n = 13) conversing with children and examined the…
    Added 2011-10-12
  6. The psycholinguistics of spelling and reading
    Charles A Perfetti, Laurence Rieben in Learning to spell Research theory and practice across languages (1997)
    (from the chapter) The aim of this chapter is to further contribute to the psycholinguistic study of spelling by delineating some of the relevant linguistic structures involved in spelling and by showing how psycholinguistic processes involving…
    Added 2011-10-12
  7. The String-to-String Correction Problem
    R A Wagner, M J Fischer in Journal Of The Association For Computing Machinery (1974)
    The string-to-string correction problem is to determine the distance between two strings as measured by the minimum cost sequence of "edit operations" needed to change the one string into the other. The edit operations investigated allow changing…
    Added 2011-10-12
  10. Using and determining location in a context-sensitive tour guide
    N Davies, K Cheverst, K Mitchell, A Efrat in Computer (2001)
    The Lancaster Guide project, initiated in 1997, explores the issues that arise from developing and deploying context-sensitive applications-specifically, a tour guide for the city of Lancaster, UK. Motivated by the work on Georgia Tech's CyberGuide,…
    Added 2011-10-12
  11. The cognitive neuropsychology of spelling.
    Pascal Zesiger, Marie-Pierre De Partz in Learning to spell Research theory and practice across languages (1997)
    (from the introduction) In this chapter, the authors examine the cognitive neuropsychological foundations of spelling. The neuropsychological approach emphasizes the potential for highly differentiated processes, with presumptive functional…
    Added 2011-10-12
  12. Whitesides' Group: Writing a Paper
    G  M Whitesides in Advanced Materials (2004)
    Insights into conducting research and the writing of scientific papers are given by Prof. Whitesides in this short essay. The manuscript and its guidelines has been circulated within the Whitesides' research group since 1989.
    Added 2011-10-12
  15. Utilization of a Lexicon for Spelling Correction in Modern Greek
    A Vagelatos, T Triantopoulou, C Tsalidis, D Christodoulakis in Proceedings of the 1995 ACM symposium on Applied computing SAC 95 (1995)
    In this paper we present an interactive spelling correction system for Modern Greek. The entire system is based on a morphological lexicon. Emphasis is given to the development of the lexicon, especially as far as storage economy, speed efficiency…
    Added 2011-10-12 41 readers
  16. Using Bracketted Parses to Evaluate a Grammar Checking Application
    Richard Wojcik, Phil Harrison, J Bremer (1993)
    We describe a method for evaluating a grammar checking application with hand-bracketed parses. A randomly-selected set of sentences was submitted to a grammar checker in both bracketed and unbracketed formats. A comparison of the resulting error…
    Added 2011-10-12 3 readers
  17. Supervised and unsupervised automatic spelling correction algorithms
    S Van Delden, D Bracewell, F Gomez in IRI 2004 Proceedings of the 2004 IEEE International Conference on 0780388194 (2004)
    We present two algorithms for automatically improving the quality of texts which contain a large number of spelling errors. A supervised algorithm, which automatically corrects unknown words that are generated primarily from typing errors, is…
    Added 2011-10-12 3 readers
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