This track focuses on the latest advancements in methodologies for corpus-based translation studies. Researchers are invited to present empirical findings that highlight innovative approaches to translation practices using linguistic data.

This session explores the intersection of computational linguistics and translation studies, emphasizing the role of technology in enhancing translation processes. Contributions may include algorithmic approaches, machine learning applications, and automated translation systems.

This track examines the significance of multilingual corpora in understanding translation dynamics across different languages. Papers should address the challenges and opportunities presented by multilingual data in translation research.

Focusing on quantitative methods, this session invites researchers to present studies that utilize statistical techniques in translation analysis. Contributions may include data-driven insights into translation quality, trends, and practices.

This track delves into the role of terminology in translation, exploring how specialized vocabularies influence translation accuracy and consistency. Papers should discuss empirical studies on terminology management and its implications for translators.

This session invites contributions that apply discourse analysis to translation studies, investigating how context and social factors shape translation choices. Researchers are encouraged to present case studies that highlight discourse strategies in translated texts.