We evaluate conversational transcripts of deceptive speech using a sophisticated natural language processing tool called Coh-Metrix. Coh-Metrix is unique in that it tracks linguistic features based on social and cognitive factors. The results from Coh-Metrix are compared to linguistic features reported in previous independent deception research, which used a natural language processing tool cal...

We show that it is possible to learn the contexts for linguistic operations which map a semantic representation to a surface syntactic tree in sentence realization with high accuracy. We cast the problem of learning the contexts for the linguistic operations as classification tasks, and apply straightforward machine learning techniques, such as decision tree learning. The training data consist ...

We will present the analysis of a Spanish prosody database by estimating the parameters of Fujisaki's model for FO contours. These parameters are classified attending to linguistic features and they form the analysis database. When synthesizing FO contours we extract the linguistic features from the text and perform a k-Nearest Neighbour search. Linguistic feature comparison distance is trained...

Prosodic features have been proven important to discriminate between different speech emotions, but they also have a fundamental linguistic function. Variations caused by linguistic contexts act as noises in emotion classification and should be eliminated. The paper proposes a novel method to decompose the raw “mixed” prosodic features into features determined by linguistic contexts and those r...

Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based features, such as word posterior probabilities calculated from N best lists or word lattices. We propose to incorporate two groups of linguistic features, which convey information from outside machine translation syste...

This paper presents a classifier of text readability based on information-theoretic features. The classifier was developed based on a linguistic approach to readability that explores lexical, syntactic and semantic features. For this evaluation we extracted a corpus of 645 articles from Wikipedia together with their quality judgments. We show that information-theoretic features perform as well ...

Many corpus linguistic studies have investigated classification of texts into genres and registers, but relatively few of these studies have looked at linguistic features in educational registers. From a pedagogical perspective it is important to determine whether certain linguistic features behave differently across registers within particular disciplines. The current study investigates condit...

Despite being an important component of problem-solving ability, relatively little is known about the linguistic features of creativity and the related constructs of elaboration, humor, and persuasion. In order to better understand the linguistic features of these constructs, two analyses were performed to examine relationships between linguistic features and human judgments of humor, persuasio...

The article offers a comparative description of typological mechanisms used in political communicative practice and methods of verbal explication of its axiological and symbolic constituents determining universal mental features of individual/collective consciousness. The research position based on a systemic multilevel analysis of the component structure of discourse facilitates the identifica...

This paper addresses the task of user gender classification in social media, with an application to Twitter. The approach automatically predicts gender by leveraging observable information such as the tweet behavior, linguistic content of the user’s Twitter feed and the celebrities followed by the user. This paper first evaluates linguistic content based features using LIWC dictionary and popul...