Authorship analysis is an important task for different text applications, for example in the field of digital forensic text analysis. Hence, we propose an authorship analysis method that compares the average similarity of a text of unknown authorship with all the texts of an author. Using this idea, a text that was not written by an author, would not exceed the average of similarity with known ...

Thesis acknowledgement is a written genre in which MA graduate students offer their gratitude to individuals, who have contributed to the completion of their study. The aim of the current study was to examine the thesis acknowledgements written by Iranian MA students in the field of Persian Language Teaching to Non-Persian Speakers (Amouzeshe Zaban e Farsi be Kharejian, AZFA) and TEFL in terms ...

Literature and Language Learning in the EFL Classroomconsists of nineteenchapters. The chapters of the book have been arranged into two parts: Part I, current issues and suggestions for new approaches (Chapters 1-6) and Part II, empirical and case studies (Chapters 7-19). The book takes multiple approaches to examine how literary texts can be incorporated into teaching practices inan EFLclassro...

Cross-lingual information access: providing content descriptors in one language for texts written in another, by assigning Eurovoc thesaurus de-scriptors automatically.

an important part of iranian literary and historical background is remained in works had been translated or adopted from other texts written in other languages. they were done by translators, called “mirzas”, who were masters in persian literature. their writing style was completely matched with the style of their period. qajar’s era is considered as a prominent period in both french and englis...

Sentiment analysis has become a widely used approach to assess the emotional content of written documents such as customer feedback. In positive psychology research, the typical one-dimensional analysis framework has been extended to include five dimensions. This five-dimensional model, PERMA, enables a fine-grained analysis of written texts. We propose an approach in which this model, statisti...

A Chinese handwritten text dataset, HIT-MW, is presented to facilitate the offline Chinese handwritten text recognition. Texts for handcopying are sampled from China Daily corpus with a stratified random manner. To collect naturally written handwriting, forms are distributed by postal mail or middleman instead of face to face. The current version of HIT-MW includes 853 forms and 186,444 charact...

The task of extracting knowledge from text is an important research problem for information processing and document understanding. Approaches to capture the semantics of picture objects in documents constitute subjects of great interest in the domain of document mining recently. In this paper, we present an approach to extracting information about picture objects in a document using cues from t...

Although middle school teachers use a variety of ELL textbooks, many lack effective criteria to critically select materials that represent a wide range of L2 learning strategies. This study analyzed the illustrated and written content of 33 ELL textbooks to determine the range of L2 learning strategies represented. The researchers chose an intentional, convenience sample from each textbook to f...

This paper deals with the entity extraction task (named entity recognition) of a text mining process that aims at unveiling non-trivial semantic structures, such as relationships and interaction between entities or communities. In this paper we present a simple and efficient named entity extraction algorithm. The method, named PAMPO (PAttern Matching and POs tagging based algorithm for NER), re...