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Terminology extraction and alignment for the translation industry

Author(s): Andraž Repar (Author), Senja Pollak (Supervisor)

Year: 2025

Type: Doctoral dissertation

This PhD dissertation focuses on improving terminology extraction and alignment for applications in the translation industry. It explores three key use cases where these techniques benefit language professionals: creating client-specific terminology lists from large parallel corpora (i.e. translation memories), building domain-specific terminology resources from comparable corpora, and identifying important domain-specific …

Neural approaches to automatic terminology extraction

Author(s): Hanh Thi Hong Tran (Author), Senja Pollak (Supervisor), Antoine Doucet (Co-Supervisor)

Year: 2024

Type: Doctoral dissertation

Automatic terminology extraction, also known as automatic term extraction (ATE), is a natural language processing (NLP) task that identifies specialized terminology from domain-specific corpora. ATE is often used for terminographic tasks (e.g., the creation of specialized dictionaries) and contributes to several complex downstream tasks (e.g., machine translation and information retrieval). …