The present paper addresses the question of the nature of deception language. Specifically, the main aim of this piece of research is the exploration of deceit in Spanish written communication. We have designed an automatic classifier based on Support Vector Machines (SVM) for the identification of deception in an ad hoc opinion corpus. In order to test the effectiveness of the LIWC2001 categor...

Studies in Molecular Evolution, especially those with forensic, ancient DNA or human history implications, provide a compelling framework for teaching. Since such research topics tend to capture the attention and imaginations of students, they provide excellent opportunities for instruction in basic biological disciplines such as evolutionary biology, genetics, molecular biology, physiology and...

Aiming to create a comprehensive Australian speech database, the “AusTalk” project was carefully designed by 30 speech scientists contributing their disciplinary expertise. Standardised three one-hour audio-visual sessions for each of 1000 speakers around Australia were recorded having diverse components suitable for different research areas. The design of this database provides a good framewor...

In this paper we present the first application of Native Language Identification (NLI) to Arabic learner data. NLI, the task of predicting a writer’s first language from their writing in other languages has been mostly investigated with English data, but is now expanding to other languages. We use L2 texts from the newly released Arabic Learner Corpus and with a combination of three syntactic f...

The present paper addresses the question of the nature of deceptive language. Specifically, the main aim of this piece of research is the exploration of deceit in Spanish written communication. We have designed an automatic classifier based on Support Vector Machines (SVM) for the identification of deception in an ad hoc opinion corpus. In order to test the effectiveness of the LIWC2001 categor...

The task of Native Language Identification involves identifying the prior or first learnt language of a user based on his writing technique and/or analysis of speech and phonetics in second language. There is a surplus of such data present on social media sites and organised dataset from bodies like Educational Testing Service(ETS), which can be exploited to develop language learning systems an...

We outline the first application of Native Language Identification (NLI) to Finnish learner data. NLI is the task of predicting an author’s first language using writings in an acquired language. Using data from a new learner corpus of Finnish — a language typology quite different from others previously investigated, with its morphological richness potentially causing difficulties — we show that...

Computational processes with the ability to evaluate of the style of text have a variety of applications, including the detection of plagiarism, forensic linguistics, and authorship determination. This research is motivated by the need to help users of collaborative writing environments maintain a consistent style in their documents. While the matter of whether the style of a text is “correct” ...