This paper examined disagreement in two sets of data in the context of service encounters: problem-solving interactions (doctor-patient communication) and purchase-oriented encounters (pharmacies) from a cross-cultural perspective (Spanish-British English). We proposed assertiveness, a term that refers to both socio-psychological and linguistic features of communication, as a concept that may h...

Abstract This study aimed to investigate how English language teaching textbooks portrayed male and female social actors according to their social roles and gender identities. To examine the linguistic representation of male and female social actors and construction of gender identities in ELT textbooks, Top Notch series was selected. To do so, attempts were made to analyze the series in terms ...

abstract this study aimed to investigate how english language teaching textbooks portrayed male and female social actors according to their social roles and gender identities. to examine the linguistic representation of male and female social actors and construction of gender identities in elt textbooks, top notch series was selected. to do so, attempts were made to analyze the series in terms ...

This paper describes the design features of a search engine for linguistic data being developed at the University of Arizona as part of the Electronic Metastructure for Endangered Languages Data (EMELD) project. It is intended to access websites in which linguistic data is encoded in RDF/XML, identifies the relevant features, links them to an ontology of linguistic terminology, and supports que...

Methods of linguistic deciphering may be regarded as a set of procedures aimed at the recognition of linguistic objects in a text whose language is not known to the investigator. They combine many advantages of the formal approach to language. Assuming that each deciphering procedure may serve as a definition of the respective linguistic object we may view the set of such procedures as a certai...

Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual phenomenon. Most computational approaches to sarcasm detection, however, treat it as a purely linguistic matter, using information such as lexical cues and their corresponding sentiment as predictive features. We show that by including extra-linguistic information from the context of an utterance ...

Here we seek to automatically identify Hungarian patients suffering from mild cognitive impairment (MCI) based on linguistic features collected from their speech transcripts. Our system uses machine learning techniques and is based on several linguistic features like characteristics of spontaneous speech as well as features exploiting morphological and syntactic parsing. Our results suggest tha...

In this paper, we present corpus-based procedures to semi-automatically discover features relevant for the study of recent language change in scientific registers. First, linguistic features potentially adherent to recent language change are extracted from the SciTex Corpus. Second, features are assessed for their relevance for the study of recent language change in scientific registers by mean...