Linguistic steganography hides information in natural language texts. Because of the increasing in importance and quantity of natural language texts, linguistic steganography plays a more and more important role in Information Security (IS) area today. Substitutionbased linguistic steganography is one of the most commonly used linguistic steganography methods, which is of considerable security ...

purpose: the present study seeks to explore the effects of general language proficiency, text readability, and medical knowledge on comprehending medical texts. material & method: 63 medical students in the second year of their study were randomly selected from the english language classes. they answered 100 multiple-choice questions on grammar and vocabulary to establish the level of language ...

This paper presents the results of experiments in which we tested different kinds of features for retrieval of Chinese opinionated texts. We assume that the task of retrieval of opinionated texts (OIR) can be regarded as a subtask of general IR, but with some distinct features. The experiments showed that the best results were obtained from the combination of character-based processing, diction...

The Linguist’s Assistant (LA) is a practical computational paradigm for describing languages. In this paper we describe how to use LA with naturally occurring texts that exemplify interesting target-language linguistic phenomena. We will describe how such texts can be semantically analyzed using a convenient semi-automatic document authoring interface, in effect adding them to LA’s standard sem...

In this paper, we describe a method for the detection of plagiarism based on author profiling [1]. After having segmented a document into a set of texts, we apply the technique of predicting the age and gender of the author on these texts. In case the predictions are heterogeneous, the probability of the existence of plagiarism becomes really great. Predicting the gender and age of the author w...

The growing availability of large on-line corpora encourages the study of word behaviour directly from accessible raw texts. However the methods by which lexical knowledge should be extracted from plain texts are still matter of debate and experimentation. In this paper it is presented an integrated tool for lexical acquisition from corpora, ARIOSTO, based on a hybrid methodology that combines ...

We describe a project on introducing an in-house statistical machine translation system for marketing texts from the automobile industry with the final aim of replacing manual translation with post-editing, based on the translation system. The focus of the paper is the suitability of such texts for SMT; we present experiments in domain adaptation and decompounding that improve the baseline tran...

In this paper we present a technique for recognising location names in non-structured texts. Our approach is based on grammar rules devised for the Italian language and semantic web tools such as geographic linked datasets, OWL ontologies, and SWRL rules, to handle data and reason about them, even in presence of name ambiguities. To the best of our knowledge, this is the first attempt of addres...

Electronic screens on laptop and tablet computers are being used for reading text, often while multitasking. Two experimental studies with college students explored the effect of medium and opportunities to multitask on reading (Study 1) and report writing (Study 2). In study 1, participants (N = 120) read an easy and difficult passage on paper, a laptop, or tablet, while either multitasking or...