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...

In this study, we propose a new method of adapting language models for speech recognition using para-linguistic and extralinguistic features in speech. When we talk with others, we often change the way of lexical choice and speaking style according to various contextual factors. This fact indicates that the performance of automatic speech recognition can be improved by taking the contextual fac...

Abstract The global spread of English and its impact on the pursuit linguistic justice has been a topic concern for scholars in wide range different fields humanities social sciences. Firmly convinced usefulness cross-field collaboration to advance our understanding expansion globally, this special issue we bring together experts sociolinguistics political theory with two goals mind: (1) illust...

When natural language processing tasks overlap in their linguistic input space, they can be technically merged. Applying machine learning algorithms to the new joint task and comparing the results of joint learning with disjoint learning of the original tasks may bring to light the linguistic relatedness of the two tasks. We present a joint learning experiment with dependency parsing and semant...