Walt Detmar Meurers

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Reading comprehension activities are an authentic task including a rich, language-based context, which makes them an interesting reallife challenge for research into automatic content analysis. For textual entailment research, content assessment of reading comprehension exercises provides an interesting opportunity for extrinsic, real-purpose evaluation,(More)
We investigate the problem of readability assessment using a range of lexical and syntactic features and study their impact on predicting the grade level of texts. As empirical basis, we combined two web-based text sources, Weekly Reader and BBC Bitesize, targeting different age groups, to cover a broad range of school grades. On the conceptual side, we(More)
Learner corpora can serve as a teaching resource for Foreign Language Teaching (FLT) and contribute empirical insights for Second Language Acquisition (SLA) research. To support effective querying for the specific classes of data which are relevant under the FLT and SLA perspectives, learner corpora ideally should include linguistic annotation. We argue for(More)
Contextualized, meaning-based interaction in the foreign language is widely recognized as crucial for second language acquisition. Correspondingly, current exercises in foreign language teaching generally require students to manipulate both form and meaning. For Intelligent Language Tutoring Systems to support such activities, they thus must be able to(More)
Introduction Treebanks used as: • " gold standard " training and testing material for computational linguists • data for linguists to search through for theoretically relevant patterns Introduction Treebanks used as: • " gold standard " training and testing material for computational linguists • data for linguists to search through for theoretically(More)
Native Language Identification tackles the problem of determining the native language of an author based on a text the author has written in a second language. In this paper, we discuss the systematic use of recurring n-grams of any length as features for training a native language classifier. Starting with surface n-grams, we investigate two degrees of(More)
There is a rise in interest in the evaluation of meaning in real-life applications, e.g., for assessing the content of short answers. The approaches typically use a combination of shallow and deep representations, but little use is made of the semantic formalisms created by theoretical linguists to represent meaning. In this paper, we explore the use of the(More)