Scales and Hierarchies: A Cross-Disciplinary Perspective

The volume advances our understanding of the role of scales and hierarchies across the linguistic sciences. Although scales and hierarchies are widely assumed to play a role in the modelling of linguistic phenomena, their status remains controversial, and it is these controversies that the present volume tackles head-on.

Chan ceist duit a bhás go bráth: 'An Lon Dubh Báite'

This article discusses an enigmatic poem by the 18th century Gaelic poet Séamas Mac Cuarta, and three subsequent translations into English. The poem is written in the 'Trí Rann agus Amhrán' form, reminiscent of the English sonnet.

Interpretable semantic vectors from a joint model of brain-and text-based meaning

Vector space models (VSMs) represent word meanings as points in a high dimensional space. VSMs are typically created using a large text corpora, and so represent word semantics as observed in text. We present a new algorithm (JNNSE) that can incorporate a measure of semantics not previously used to create VSMs: brain activation data recorded while people read words. The resulting model takes advantage of the complementary strengths and weaknesses of corpus and brain activation data to give a more complete representation of semantics. Evaluations show that the model 1) matches a behavioral measure of semantics more closely, 2) can be used to predict corpus data for unseen words and 3) has predictive power that generalizes across brain imaging technologies and across subjects. We believe that the model is thus a more faithful representation of mental vocabularies.

Using Brain Data for Sentiment Analysis

We present the results of exploratory experiments using lexical valence extracted from brain using electroencephalography (EEG) for sentiment analysis. We selected 78 English words (36 for training and 42 for testing), presented as stimuli to 3 English native speakers. EEG signals were recorded from the subjects while they performed a mental imaging task for each word stimulus. Wavelet decomposition was employed to extract EEG features from the time-frequency domain. The extracted features were used as inputs to a sparse multinomial logistic regression (SMLR) classifier for valence classification, after univariate ANOVA feature selection. After mapping EEG signals to sentiment valences, we exploited the lexical polarity extracted from brain data for the prediction of the valence of 12 sentences taken from the SemEval-2007 shared task, and compared it against existing lexical resources.

Tone

This is an article on ‘tone’ for the 1360 pages SAGE Encyclopedia "Music in the Social and Behavioral Sciences". This Encyclopedia is considered the first definitive reference resource to take a broad interdisciplinary approach to the nexus between music and the social and behavioral sciences examines how music affects human beings and their interactions in and with the world. The interdisciplinary nature of the work provides a starting place for students to situate the status of music within the social sciences in fields such as anthropology, communications, psychology, linguistics, sociology, sports, political science and economics, as well as biology and the health sciences.

Sarcasm Detection on Czech and English Twitter

This paper presents a machine learning approach to sarcasm detection on Twitter in two languages – English and Czech. Although there has been some research in sarcasm detection in languages other than English (e.g., Dutch, Italian, and Brazilian Portuguese), our work is the first attempt at sarcasm detection in the Czech language. We created a large Czech Twitter corpus consisting of 7,000 manually-labeled tweets and provide it to the community. We evaluate two classifiers with various combinations of features on both the Czech and English datasets. Furthermore, we tackle the issues of rich Czech morphology by examining different preprocessing techniques. Experiments show that our language-independent approach significantly outperforms adapted state-of-the-art methods in English (F-measure 0.947) and also represents a strong baseline for further research in Czech (F-measure 0.582).

The Cultures of Popular Culture

Special Issue of the 'Proceedings of the Royal Irish Academy Modern Languages Symposium', reflecting a selection of papers from the Belfast Conference (13th-14th December 2013)

'Regina v John Terry': The Discursive Construction of an Alleged Racist Event

This article explores the conformation in discourse of a verbal exchange and its subsequent mediatised and legal ramifications. The event concerns an allegedly racist insult directed by high profile English professional footballer John Terry towards another player, Anton Ferdinand, during a televised match in October 2011. The substance of Terry’s utterance, which included the noun phrase ‘fucking black cunt’, was found by a Chief Magistrate not to be a racist insult, although the fact that these actual words were framed within the utterance was not in dispute. The upshot of this ruling was that Terry was acquitted of a racially aggravated public order offence. A subsequent investigation by the regulatory commission of the English Football Association (FA) ruled, almost a year after the event, that Terry was guilty of racially abusing Ferdinand. Terry was banned for four matches and fined £220,000.

It is our contention that this event, played out in legal rulings, social media and print and broadcast media, constitutes a complex web of linguistic structures and strategies in discourse, and as such lends itself well to analysis with a broad range of tools from pragmatics, discourse analysis and cognitive linguistics. Amongst other things, such an analysis can help explain the seemingly anomalous - even contradictory - position adopted in the legal ruling with regard to the speech act status of ‘fucking black cunt’; namely, that the racist content of the utterance was not contested but that the speaker was found not to have issued a racist insult. Over its course, the article addresses this broader issue by making reference to the systemic-functional interpersonal function of language, particularly to the concepts of modality, polarity and modalisation. It also draws on models of verbal irony from linguistic pragmatics, notably from the theory of irony as echoic mention (c.f. Sperber and Wilson, 1981; Wilson and Sperber, 1992). Furthermore, the article makes use of the cognitive-linguistic framework, Text World Theory (c.f. Gavins, 2007; Werth, 1999) to examine the discourse positions occupied by key actors and adapts, from cognitive poetics, the theory of mind-modelling (c.f. Stockwell, 2009) to explore the conceptual means through which these actors discursively negotiate the event.

It is argued that the pragmatic and cognitive strategies that frame the entire incident go a long way towards mitigating the impact of so ostensibly stark an act of racial abuse. Moreover, it is suggested here that the reconciliation of Terry’s action was a result of the confluence of strategies of discourse with relations of power as embodied by the media, the law and perceptions of nationhood embraced by contemporary football culture. It is further proposed that the outcome of this episode, where the FA was put in the spotlight, and where both the conflict and its key antagonists were ‘intranational’, was strongly impelled by the institution of English football and its governing body both to reproduce and maintain social, cultural and ethnic cohesion and to avoid any sense that the event featured a discernable ‘out-group’.

Plain English: Applying Principles to Home School Written Communication Considering Diverse Families

Schools attempting to engage with the families of all learners, including those with culturally and linguistically diverse backgrounds recognize the importance of effective oral and written communication. The aim of this study is to determine if school generated written communication created by an urban school district serving a culturally and linguistically diverse population in the Northeast of the US adhered to the principles of plain English. This exploratory research examined exemplar pieces of written school generated communication, using different forms of linguistic analysis to determine whether the communication contained elements recognized to facilitate or impede the comprehensibility of each piece of communication. Additionally, a text assessment tool which can help schools to analyze the written text communication they send to families was developed and refined.

Robust bimodal person identification using face and speech with limited training data and corruption of both modalities

This paper presents a novel method of audio-visual fusion for person identification where both the speech and facial modalities may be corrupted, and there is a lack of prior knowledge about the corruption. Furthermore, we assume there is a limited amount of training data for each modality (e.g., a short training speech segment and a single training facial image for each person). A new representation and a modified cosine similarity are introduced for combining and comparing bimodal features with limited training data as well as vastly differing data rates and feature sizes. Optimal feature selection and multicondition training are used to reduce the mismatch between training and testing, thereby making the system robust to unknown bimodal corruption. Experiments have been carried out on a bimodal data set created from the SPIDRE and AR databases with variable noise corruption of speech and occlusion in the face images. The new method has demonstrated improved recognition accuracy.

Multimodal Critical Discourse Analysis (MCDA)

Critical Discourse Analysis (CDA) has probably made the most comprehensive attempt to develop a theory of the inter-connectedness of discourse, power and ideology and is specifically concerned with the role that discourse plays in main-taining and legitimizing inequality in society. While CDA’s general thrust has been towards the analysis of linguistic structures, some critical discourse analysts have begun to focus on multimodal discourses because of the increasingly impor-tant role these play in many social and political contexts. Still, a great deal of CDA analysis has remained largely monomodal. The principal aim of this chapter is therefore to address this situation and demonstrate in what ways CDA can be deployed to analyse the ways that ideological discourses can be communicated, naturalised and legitimated beyond the linguistic level. The chapter also offers a rationale for a multimodal approach based on Halliday’s Systemic Functional Linguistics (SFL), by which it is directly informed