Abstract This study examined the effect of two types of feedback, post-text as a written feedback and recast as an oral one on written grammatical accuracy of Iranian intermediate EFL learners. To this end, 45 intermediate students who were studying at Ideal Language Institute in Sari were selected based on their performance on the Nelson proficiency test, and then divided into three groups (tw...

POS Taggers typically fail to correctly tag grammatical neologisms: for a known word, most taggers will only take known tags into account, and hence discard the possibility that that word is used in a novel or deviant grammatical category in a new text. Grammatical neologisms are relatively rare, and therefore do not pose a significant problem for the overall performance of a tagger. But for st...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

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The research presented in the paper forms part of a larger initiative aimed at automatic algorithm induction using machine learning. This paper compares the performance of two machine learning techniques, namely, genetic programming and a variation of genetic programming, grammatical evolution, for automatic algorithm induction. The application domain used to evaluate both the approaches is the...

We describe extensions to a scheme for evaluating parse selection accuracy based on named grammatical relations between lemmatised lexical heads. The scheme is intended to directly reflect the task of recovering grammatical and logical relations, rather than more arbitrary details of tree topology. There is a manually annotated test suite of 500 sentences which has been used by several groups t...

We describe extensions to a scheme for evaluating parse selection accuracy based on named grammatical relations between lemmatised lexical heads. The scheme is intended to directly reflect the task of recovering grammatical and logical relations, rather than more arbitrary details of tree topology. There is a manually annotated test suite of 500 sentences which has been used by several groups t...