scholarly journals Methods, Tools and Techniques for Multimodal Analysis of Accommodation in Intercultural Communication

2018 ◽  
Vol 24 (1) ◽  
pp. 29-41
Author(s):  
Maciej Karpiński ◽  
Katarzyna Klessa
2021 ◽  
Vol 39 (2) ◽  
pp. 483-501
Author(s):  
Soledad Romero Rodríguez ◽  
Celia Moreno-Morilla ◽  
Eduardo García Jiménez

La construcción de las identidades culturales en niñas y niños migrantes requiere de un conocimiento profundo de las experiencias que se desarrollan en diversos espacios (la escuela, el hogar, la mezquita, las asociaciones vecinales, el centro cívico, etc.). Nuestra investigación reflexiona sobre los procesos de construcción de identidades culturales y la aportación de la etnografía colaborativa en su análisis. La utilización de este enfoque metodológico ha permitido la incorporación de la voz del alumnado migrante de Educación Infantil en la exploración de la construcción de sus identidades. Este artículo plantea como objetivo explorar las posibilidades de la etnografía colaborativa en el estudio de la construcción de identidades culturales mediante el análisis semiótico multimodal. Para ello, se ha utilizado un estudio de casos holístico y técnicas propias del enfoque Mosaic como los mapping, el retrato familiar, el roleplay y el autorretrato. El análisis semiótico social multimodal ha puesto en evidencia la difracción que se produce en los diferentes discursos de las niñas y los niños, evidenciando los conflictos en la construcción de sus identidades entre la cultura de origen y la destino, y ha mostrado cómo se configuran los estereotipos culturales en la etapa de Educación Infantil. Las conclusiones de este estudio subrayan la utilidad de la etnografía colaborativa y el análisis semiótico multimodal para el estudio de la construcción de identidades culturales en la infancia. The ethnic and cultural identity construction among pupils from immigrant families requires a deep knowledge of intercultural communication practices that are developed in different spaces (school, home, mosque, neighbourhood associations, civic centre, etc.). Our research analyses the intercultural communication of children in school and shows the use of a methodology that allows access to their cultural identities’ construction. The use of collaborative ethnography with children has allowed the incorporation of their voices in the exploration of intercultural communication. This article aims to explore intercultural communication in 5-year-old students through collaborative ethnography and analyses their identities construction through multimodal discourse analysis. A holistic-case study design has been utilised as well as mosaic approach techniques, such as mapping, family portrait, role play and self-portrait. The social semiotic multimodal analysis has shown the diffraction that occurs in the different students’ discourses, evidencing the conflicts in the identity construction among participants from immigrant families. Likewise, the results have shown how cultural stereotypes are configured in Early Childhood Education classes. The conclusions highlight the usefulness of collaborative ethnography and multimodal analysis for the study of intercultural communication and the identity construction in childhood.


2010 ◽  
Vol 2010 ◽  
pp. 1-18 ◽  
Author(s):  
Hiranmay Ghosh ◽  
Sunil Kumar Kopparapu ◽  
Tanushyam Chattopadhyay ◽  
Ashish Khare ◽  
Sujal Subhash Wattamwar ◽  
...  

The problems associated with automatic analysis of news telecasts are more severe in a country like India, where there are many national and regional language channels, besides English. In this paper, we present a framework for multimodal analysis of multilingual news telecasts, which can be augmented with tools and techniques for specific news analytics tasks. Further, we focus on a set of techniques for automatic indexing of the news stories based on keywords spotted in speech as well as on the visuals of contemporary and domain interest. English keywords are derived from RSS feed and converted to Indian language equivalents for detection in speech and on ticker texts. Restricting the keyword list to a manageable number results in drastic improvement in indexing performance. We present illustrative examples and detailed experimental results to substantiate our claim.


Author(s):  
Edward C. Stewart ◽  
Jack Danielian ◽  
Robert J. Foster

2013 ◽  
Author(s):  
Vida Gudzinskiene ◽  
Asta Januskeviciute ◽  
Neringa Kurpakaitiene

Author(s):  
Manbir Sandhu ◽  
Purnima, Anuradha Saini

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.


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