Towards SMT-Assisted Error Annotation of Learner Corpora
We present the results of prototypical ex- periments conducted with the goal of de- signing a machine translation (MT) based system that assists the annotators of learner corpora in performing ortho- graphic error annotation. When an anno- tator 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.
Showing items related by title, author, creator and subject.
Okinina N; Nicolas L (2018)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. ...
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 ...
Learner-Internal and Learner-External Factors Affecting Language Learning in South Tyrol: A Mixed Methods Research with Primary School Children, Parents, and Teachers Gross, Barbara (Free University of Bozen-Bolzano, 2018)Introduzione e obbiettivi La globalizzazione e la migrazione, connessi ad avvenimenti storici, hanno trasformato l’Europa in un continente multilingue e interculturale caratterizzato da super-diversità, spingendo l’Unione ...