معرفی
Xiaoman Wang is an Assistant Professor at Heriot-Watt University's School of Social Sciences, specializing in Languages & Intercultural Studies. Their research focuses on integrating machine learning and computational linguistics into interpreter training, particularly leveraging large language models and explainable AI for quality assessment.
- Doctor of Philosophy in Linguistics or related field
- Active in translation studies and simultaneous interpreting
- Collaborates on multimodal interpreting corpora construction
Key research areas include:
- Developing automatic speech recognition (ASR) tools for live transcription in simultaneous interpreting
- Comparing human and machine evaluation of speech translation
- Exploring paralinguistic properties identification in multimodal interpreting corpora
- Using large language models for interpreter training and quality assessment
- Investigating trainee perceptions of AI-assisted transcription technologies
- Advancing explainable AI applications in translation evaluation
Recent publications demonstrate a strong focus on machine-human correlation analysis, multimodal corpus development, and AI-driven translation quality assessment. Xiaoman contributes to journals like The Interpreter and Translator Trainer, Humanities and Social Sciences Communications, and Across Languages and Cultures.
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