Academic discourse has always been the focus of many linguists, especially those who have been involved with English for Academic Purposes (EAP) and discourse analysis. Persuasion, as part of rhetorical structure of academic writing, is partly achieved by employing modality markers.  Adopting a descriptive design, the present study was carried out to compare the use of modality markers in terms...

This study used keyword method during encoding information in transferring information from short term memory to make the retrieval easier. For this purpose, 50 adult female elementary students were chosen to participate in this study. This study required two groups of learners (control and experimental groups). The experimental group enjoyed some special flashcards which each of them involved ...

Dil, insanın düşüncelerini, duygularını, algı ve bilgi birikimini yansıtmasına olanak tanıyan temel araçtır. Düşünce, bellek, dikkat öğrenme gibi zihinsel süreçlerin anlamlandırılması ifade edilmesi dil vasıtasıyla gerçekleşir. Dilin süreçlerle ilişkisi, bilişsel bilim alanında çekici konulardan biri olmuştur. Türkçe literatürde biliş fiilleri terimi, “düşünmek, anlamak, tahmin etmek, bilmek, h...

objectives : the study was designed to investigate the impairment of the ability to discriminate between nouns and verbs, resulting from the damage to the left-hemisphere, a condition which could lead to linguistic disorders proportionate to the depth and extent of the damage. various experimental and clinical investigations have demonstrated that nouns and verbs may, independent of one another...

This paper provides evidence that aspectual verb classes (Vendler, 1967) can be induced from nominal fillers in argument positions and aspectual features. We classified 35 German verbs in a supervised learning procedure using a support vector machine classifier and a classification into five aspectual classes (Richter and van Hout, 2015) as gold standard and observed excellent and substantial a...

Distributional measures of lexical similarity and kernel methods for classification are well-known tools in Natural Language Processing. We bring these two methods together by introducing distributional kernels that compare co-occurrence probability distributions. We demonstrate the effectiveness of these kernels by presenting state-of-the-art results on datasets for three semantic classificati...

This paper describes the evaluation of a WSD method within SENSEVAL. This method is based on Semantic Classification Trees (SCTs) and short context dependencies between nouns and verbs. The training procedure creates a binary tree for each word to be disambiguated. SCTs are easy to implement and yield some promising results. The integration of linguistic knowledge could lead to substantial impr...

Fourteen linguistically-motivated numerical indicators are evaluated for their ability to categorize verbs as either states or events. The values for each indicator are computed automatically across a corpus of text. To improve classification performance, machine learning techniques are employed to combine multiple indicators. Three machine learning methods are compared for this task: decision ...