Towards SMT-Assisted Error Annotation of Learner Corpora
We present the results of prototypical experiments conducted with the goal of designing a machine translation (MT) based system that assists the annotators of learner corpora in performing orthographic error annotation. When an annotator marks a span of text as erroneous, the system suggests a correction for the marked error. The presented experiments rely on word-level and character-level Statistical Machine Translation (SMT) systems.
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Okinina N; Nicolas L (2018)Presented at: Fifth Italian Conference on Computational Linguistics ; Torino ; 10.12.2018 - 12.12.2018 ; We present the results of prototypical experiments conducted with the goal of de- signing a machine translation (MT) ...
Glaznieks A; Anstein S (2011)In this article, we present systematic studies of two kinds of language varieties for their comparison and documentation. To analyse geographical varieties of German, the annotated Korpus Südtirol in the framework of the ...
Stemle EW; Boyd A; Janssen M; Lindström Tiedemann T; Mikelić Preradović N; Rosen A; Rosén D; Volodina E (2019)In this article we give an overview of first-hand experiences and starting points for best practices from projects in seven European countries dedicated to learner corpus research and the creation of language learner ...