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Network and graph model is a good alternative to analyze huge collective textual data for the ability to reduce the dimensionality of the data. Texts can be seen as syntactic and semantic network amon...
We present a machine learning approach to robust textual inference, in which parses of the text and the hypothesis sentences are used to measure their asymmetric “similarity”, and thereby to decide if...
We present two regression models for the prediction of pairwise preference judgments among MT hypotheses. Both models are based on feature sets that are motivated by textual entailment and incorporate...
This research explored the effects of three types of multimedia glosses on the reading comprehension of learners in an EFL context. From among the three experimental groups under study, one received ...
This paper aims to demonstrate the significant role that specialised terms play in the creation of texture and text in Business and Finance discourse. Accordingly, we will explore the suggestion that ...
This article provides a textual analysis of the lyrics of “Ironic” by Alanis Morissette (Morissette, 1995) to determine how a reader utilizes the linguistic devices within the lyrics while activatin...
Reading expository prose at the post-secondary level:The influence of textual variables on L2 reading comprehension (a genre-based approach)。

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