Sökning: "misspellings"

Hittade 5 avhandlingar innehållade ordet misspellings.

  1. 1. Text Production in Adults with Reading and Writing Difficulties

    Författare :Åsa Wengelin; Göteborgs universitet; []
    Nyckelord :HUMANIORA; HUMANITIES; reading and writing difficulties; dyslexia; deaf; written language production; text; text production; misspellings; narratives; writing; lexical density; lexical diversity;

    Sammanfattning : .... LÄS MER

  3. 2. Perspectives on misspellings : a phonetic, phonological and psycholinguistic study

    Författare :Kerstin Nauclér; Allmän språkvetenskap; []
    Nyckelord :HUMANIORA; HUMANITIES;

    Sammanfattning : Abstract is not available.... LÄS MER

  4. 3. Properties and tests for some classes of life distributions

    Författare :Bengt Klefsjö; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Life distribution; survival function; exponential distribution; IFR; IFRA; NBUE; DMRL; HNBUE; shock model; total time on test transform; testing of exponentiality;

    Sammanfattning : A life distribution and its survival function F = 1 - F with finitemean y = /q F(x)dx are said to be HNBUE (HNWUE) if F(x)dx < (>)U exp(-t/y) for t > 0. The major part of this thesis deals with the classof HNBUE (HNWUE) life distributions. LÄS MER

  5. 4. Recent Studies on Lp-Norm Estimation

    Författare :Hans Nyquist; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : When estimating the parameters in a linear regression model, the method of least squares (L^-norm estimator) is often used. When thè residuals are independent and identically normally distributed, the least squares estimator is BLUE as well as equivalent to the maximum likelihood estimator. LÄS MER

  7. 5. A robust text processing technique applied to lexical error recovery

    Författare :Peter Ingels; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : This thesis addresses automatic lexical error recovery and tokenization of corrupt text input. We propose a technique that can automatically correct misspellings, segmentation errors and real-word errors in a unified framework that uses both a model of language production and a model of the typing behavior, and which makes tokenization part of the recovery process. LÄS MER