'I am not an Honourable Lady': gender and language in the National Assembly for Wales

Women have been historically underrepresented in political institutions and it has been claimed that it is difficult for women to succeed in the masculinist cultures that exist in political contexts. The ‘new’ devolved institutions of the UK offer opportunities to investigate gender inequality in political contexts which have a greater proportion of women members; that have included women from their inception; and that have been designed with egalitarian issues to the fore. Here, ethnographic and discourse analytic data is used to assess a senior woman’s performance in the National Assembly for Wales; to explore politicians’ appraisal of this performance; and to analyse the breakdown of the debate floor in terms of ‘rule-breaking’ activities such as barracking. In this Community of Practice the individual’s performance draws upon communicative styles that are both stereotypically masculine (adversarial) and feminine (consensual), which can be viewed as an indication of the speaker’s competence. However, this is undermined by the speaker’s failure to adopt the correct linguistic practices for this CoP which leads to the breakdown of the formal debate discourse. Assembly Members appraise this failure negatively while also drawing upon stereotypical notions of gendered communicative norms and wider discourses of gender differentiation.

An ethnographic investigation into gender and language in the Northern Ireland Assembly

This paper investigates the extent to which the negative evaluation of one of the women Ministers in the Northern Ireland Assembly can be attributed to gender. Interviews with politicians as well as the Minister herself illuminate this discussion by identifying the ‘gendered discourses’ that are drawn upon when describing the Minister’s communicative style in debates. Close analyses of transcripts of debates offer a description of some elements of this style, and find that while the Minister is confrontational in debates and ‘stands her ground’, she does not take part in illegal interventions that disrupt the debate floor and are characteristic of the Assembly as a whole. Although the construction of the Minister’s unpopularity can be attributed to a complex interplay of factors, it can be concluded that it is partly the way she draws on gendered linguistic resources that leads her to be negatively judged by her peers.

Gender, Power and Political Speech: Women and Language in the 2015 UK General Election

Gender, Power and Political Speech explores the influence of gender on political speech by analyzing the performances of three female party leaders who took part in televised debates during the 2015 UK General Election campaign. The analysis considers similarities and differences between the women and their male colleagues, as well as between the women themselves; it also discusses the way gender - and its relationship to language - was taken up as an issue in media coverage of the campaign.

Are Deep Learning Approaches Suitable for Natural Language Processing?

In recent years, Deep Learning (DL) techniques have gained much at-tention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often learn features from data without the need for human design or engineering interventions. In addition, DL approaches have achieved some remarkable results. In this paper, we have surveyed major recent contributions that use DL techniques for NLP tasks. All these reviewed topics have been limited to show contributions to text understand-ing, such as sentence modelling, sentiment classification, semantic role labelling, question answering, etc. We provide an overview of deep learning architectures based on Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Recursive Neural Networks (RNNs).

What is universal and what differs in language development?

Goldin-Meadow (2015) presents an exceptional synthesis of work from studies of children acquiring language under variable circumstances of input or processing abilities. Deaf children who acquire homesign without any well- formed model from which to learn language represent a powerful example. Goldin-Meadow argues that the resilient properties of language that nevertheless emerge include simple syntactic structures, hierarchical organisa- tion, markers modulating the meaning of sentences, and social-communicative functions. Among the fragile or input-dependent properties are the orders that the language follows, the parts into which words are decomposed, and the features that distinguish nominals from predicates. Separation of these two types of properties poses questions concerning the innate constraints on language acquisition (perhaps these equate to the resilient properties) and con‐ cerning the specificity of processes to language (e.g., whether properties such as hierarchical organisation are specific to language or originate in the structure of thought). The study of the resilient properties of human language in the face of adversity and the relation of these properties to the information that is encoded in the human genome represent a research strategy that draws inferences about species universals (properties that all humans share) from data about individual differences (IDs; factors that make humans different from one another). In the following, we suggest three reasons to be cautious about this approach.