The current pretest-posttest quasi-experimental study sought, firstly, to examine the effect of employing flipped language teaching techniques on EFL learners' text comprehension and, secondly, to explore whether there was any significant interaction between the flipped classroom approach and EFL learners’ proficiency level. To this end, 65 male and female EFL learners were conveniently selecte...

This paper presents the details of a pilot study in which we tagged portions of the American National Corpus (ANC) for idioms composed of verb-noun constructions, prepositional phrases, and subordinate clauses. The three data sets we analyzed included 1,500-sentence samples from the spoken, the non-fiction, and the fiction portions of the ANC. This paper provides the details of the tagset we de...

We describe a system that automatically extracts biological events from biomedical journal articles, and translates those events into Biological Expression Language (BEL) statements. The system incorporates existing text mining components for coreference resolution, biological event extraction and a previously formally untested strategy for BEL statement generation. Although addressing the BEL ...

Yorùbá being a tone language requires tone information for the correct pronunciation of words in Text-to-Speech synthesis. Based on standard Yorùbá orthography, such information is held in tone marks, which applied to vowels and syllabic nasals as diacritical markings. However, the tone marks are not always correctly applied in many Yorùbá documents because appropriate input devices for the acc...

MindMapping [45] is a well-known technique used in note taking, and is known to encourage learning and studying. MindMapping has been manually adopted to help present knowledge and concepts in a visual form. Unfortunately, there is no reliable automated approach that can generate MindMaps from Natural Language text. This work firstly introduces MindMap Multilevel Visualization concept which is ...

A text recognition algorithm is proposed that uses word-level language constraints in a deciphering framework to directly decode the identity of each word pattern in an input text. This is a font-independent approach that solves problems of touching characters and character fragmentation. The major difficulty of using a deciphering approach on the word level is that the existence of relatively ...

Concept-level text analysis is superior to word-level analysis as it preserves the semantics associated with multi-word expressions. It offers a better understanding of text and helps to significantly increase the accuracy of many text mining tasks. Concept extraction from text is a key step in concept-level text analysis. In this paper, we propose a ConceptNet-based semantic parser that decons...

Among factors that might manipulate translators’ mind while producing a text is the notion of ideology transmission through text or talk. Adopting Critical Discourse Analysis (CDA) with particular emphasis on the framework of Van Dijk (1999), the present investigation is an attempt to shed light on the relationship between language and ideology involved in translation in general, and more speci...