the purpose of this study was to measure reading comprehension strategies when tell me more and sweet english software were utilized to enhance the traditional reading comprehension practice. the study focused on evaluation of four strategies (i.e., scanning, skimming, inferencing and headline guessing) in reading comprehension in three different classes at an english language institute in iran...

The purpose of this study was to measure reading comprehension strategies when Tell Me More and Sweet English software were utilized to enhance the traditional reading comprehension practice. The study focused on evaluation of four strategies (i.e., scanning, skimming, inferencing and headline guessing) in reading comprehension in three different classes at an English language Institute in Iran...

A standard correction for random guessing (cfg) formula on multiple-choice and Yes/Noexaminations was examined retrospectively in the scores of the intermediate female EFL learners in an English language school. The correctionwas a weighting formula for points awarded for correct answers,incorrect answers, and unanswered questions so that the expectedvalue of the increase in test score due to g...

Epistemic Indefinites (henceforth EIs) are indefinites in which this ignorance inference is conventionalized (Jayez and Tovena, 2006; Alonso-Ovalle and MenéndezBenito, 2010). Examples of epistemic indefinite determiners are German irgendein (Haspelmath, 1997; Kratzer and Shimoyama, 2002) and Italian un qualche (Zamparelli, 2007). Sentences (2) and (3) make an existential claim, and additionally...

In simple card games, cards are dealt one at a time and the player guesses each sequentially. We study problems where feedback (e.g., correct/incorrect) is given after guess. For decks with repeated values (as in blackjack suits do not matter), optimal strategy differs from “greedy strategy” (of guessing most likely round). Further, both greedy strategies far too complicated for real-time use b...

This paper discusses an approach to generate headline summary from a set of documents. Headline summary is basically a very short summary in the form of headline. As the amount of on-line information increases, systems that can automatically summarize multiple documents are becoming increasingly desirable. In this situation, headline summary is useful for users who only need information on the ...

In this paper, we analyze about the relation between stock price returns and Headline News. Headline News is very important sources of information in asset management, and is sent in large quantities every day. We study the effect of more than 13,000 Headline News sent from JIJI PRESS. We classify Headline News using Text Categorization and analyze the reaction of a stock price return for every...

Neural attention-based models have been widely used recently in headline generation by mapping source document to target headline. However, the traditional neural headline generation models utilize the first sentence of the document as the training input while ignoring the impact of the document concept information on headline generation. In this work, A new neural attention-based model called ...