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The purpose of this paper is to discuss the usefulness of Halliday’s linguistic theory known as Systemic Functional Linguistics (SFL) in analysing qualitative data. In order to do this, it initially presents an overview of SFL, and then explains how and why four linguistic features namely, nominalisation, grammatical metaphor, thematic structure and lexical density are useful in examining qualitative data. The paper also discusses three social metafunctions of language known as the ideational, the interpersonal and the textual metafunctions which are significant for understanding and interpreting texts.

This paper employs SFL as the main theoretical framework to discussing the usefulness of this linguistics theory in qualitative data analysis.

SFL can be seen as a paradigm shift in linguistic theory moving away from the traditional focus on syntax to the inclusion of the interface between language and pragmatics. The focus of SFL is language in use. It deals with texts in social contexts, which is the main focus in qualitative data analysis. Thus, SFL provides both research tools and theoretical insights for understanding and interpreting texts.

This paper provides significant insights into language which are crucial for understanding and interpreting texts in social contexts.

This paper aims to propose a critical multimodal framework to understanding pedagogical materials that focuses on not only the verbal or the visual components but also the interaction between the two semiotic resources that constructs power relations as a result of intermodal interaction, and it further provides an example of an in-depth analysis of one text using this approach.

The paper proposes a critical multimodal framework that draws from Serafini (2010) and Royce (1998). Details about how the two works complement to form a critical multimodal framework are discussed, after which the paper analyzes one example from an English-language textbook using the proposed framework to demonstrate its strengths.

The findings highlight the power relations constructed in texts as a result of the interaction between the verbal and visual components, specifically how the visual mode functions to rationalize the power relations constructed in the verbal mode. These findings also establish the significance for considering the larger context of materials production and reception identified in the ideological perspective to appreciate how texts reflect discourses in diverse locales.

This paper argues that even though critical multimodality has often been discussed conceptually in L1 literacy scholarship, how to put these conceptualizations into practice has not been addressed systematically. The paper also contends that critical perspectives to understanding multimodal texts are also important in L2 English-language teaching. The critical multimodal framework proposed thus serves as a conceptual and methodological framework for multimodal reading and interpretive practices in both L1 and L2 contexts.

The purpose of this paper is to deal with a method for gesture encoding and reproduction, particularly aiming at a text‐to‐gesture (TTG) system that enables robotic agents to generate proper gestures automatically and naturally in human‐robot interaction.

Reproducing proper gestures, naturally synchronized with speech, is important under the TTG concept. The authors first introduce a gesture model that is effective to abstract and describe a variety of human gestures. Based on the model, a gesture encoding/decoding scheme is proposed to encode observed gestures symbolically and parametrically and to reproduce robot gestures from the codes. In particular, this paper mainly addresses a gesture scheduling method that deals with the alignment and refinement of gestural motions, in order to reproduce robotic gesticulation in a human‐like, natural fashion.

The proposed method has been evaluated through a series of questionnaire surveys, and it was found that reproduced gestures by a robotic agent could appeal satisfactorily to human beings.

This paper provides a series of algorithms to treat overlapped motions and to refine the timing parameters for the motions, so that robotic agents reproduce human‐like, natural gestures.

This research is a critical discourse analysis (CDA) of Trump's speech on January 6, 2021, which results in his supporters' storming the US Capitol in order to challenge certifying Biden's victory. The Democrats accused Trump of incitement of insurrection. Consequently, Trump was impeached. This article investigates Trump's speech to label it as hate speech or free speech.

Analytical framework is tri-dimensional. The textual analysis is based on Halliday's notion of process types and Huckin's discourse tools of foregrounding and topicalization. The socio-cognitive analysis is based on Van Dijk's ideological square and his theory of mental models. The philosophical dimension is founded on Habermas's theory of discourse. These parameters are the cornerstones of the barometer that will be utilized to reach an objective evaluation of Trump's speech.

Findings suggest that Trump usually endows “I, We, You” with topic positions to lay importance on himself and his supporters. He frequently uses material process to urge the crowds' action. He categorizes Americans into two conflicting poles: He and his supporters versus the media and the Democrats. Mental models are created and activated so that the other is always negatively depicted. Reports about corruption are denied in court. Despite that, Trump repeats such reports. This is immoral in Habermas's terms. The study concludes that Trump delivered hate speech in order to incite the mob to act in a manner that may change the election results.

The study is original in its tri-dimensional framework and its data of analysis.