ABSTRACT ‘Summer Davos’ meeting in China organised by the World Economic Forum is an annual event that brings together leading voices from the East and West in business, society, and politics. The economic-political challenges and geopolitical upheavals that intercepted temporarily and transnationally in the close-up to the 2016 Summer Davos meeting rendered this discursive event a site of particular political/ideological contestation. This study intends to make sense of the unobtrusive, pro- home-nation nationalist ideology manifested in the interpreted texts by Chinese (...) conference interpreters who bridge language gaps in situ in the meeting. These textual manifestations of nationalism are examined by interrogating how specific discursive strategies are deployed in connection with thematic contents about China, the interpreters’ home-nation, in relation to other countries. Fundamentally, Chinese interpreters’ nationalism finds its way into their linguistic means that realise their specific strategies of self-censoring, neutralising self-negativity, aggrandising self-positivity and accentuating the negative-other representation in relation to topics on national sovereignty, territorial integrity, diplomatic relations and economic/political positions, all of which are crucial to the interests of a nation. (shrink)

The target article (Nelson et al. 2023) offers a valuable contribution to the “paradox of experience,” which was illustrated by using examples about access to unproven medical products and disabili...

While nationalism as a mental model that can be represented in text and talk, it has not been sufficiently examined in discourse studies. This study examines the discourse of nationalism in spoken texts of an elite cohort of Chinese speakers at the World Economic Forum. Through methodological integration of nationalism with the socio-cognitive approach anchored in critical discourse analysis, this study examines the structures of ‘national-We’ and ‘foreign-Others’ pervading discourse and linguistic levels with reference to China-specific origins of nationalistic ideology. (...) By scrutinising appraisals, referential nouns/pronouns and value-laden metaphors as linguistic realisations, this study reveals three nationalistic discourses: an economic-leadership discourse for Self, a deterrent/delegitimisation discourse regarding Others’ threatening actions/views, and a common-community Self discourse that aims to solidify more countries with China in a common community with shared interests and future. The study suggests there is value in integrating sociology-oriented conceptual/theoretical tools with the socio-cognitive approach in disclosing latent ideological configurations. (shrink)

In this paper, we propose to incorporate the local attention in WaveNet-CTC to improve the performance of Tibetan speech recognition in multitask learning. With an increase in task number, such as simultaneous Tibetan speech content recognition, dialect identification, and speaker recognition, the accuracy rate of a single WaveNet-CTC decreases on speech recognition. Inspired by the attention mechanism, we introduce the local attention to automatically tune the weights of feature frames in a window and pay different attention on context information for (...) multitask learning. The experimental results show that our method improves the accuracies of speech recognition for all Tibetan dialects in three-task learning, compared with the baseline model. Furthermore, our method significantly improves the accuracy for low-resource dialect by 5.11% against the specific-dialect model. (shrink)