The SCATE (Smart Computer-Assisted Translation Environment) research project is a multidisciplinary co-operation with the objective of improving translators’ efficiency and consistency through a better integration of existing translation technologies and exploitation of resources. One aspect of this project was to investigate the process of terminology extraction by humans and to automate the process of terminology extraction from comparable corpora. The methods consist of three main tasks: (1) study of translators’ methods to acquire domain knowledge and terminology, (2) determining comparable corpora, and (3) automatic terminology extraction from comparable text. In this presentation we will focus on the results of task (1) which has been completed, and present the preliminary results of task (3). In task (1) we collected the data through an international survey and observations of 16 translators and terminologists at their workplaces across a period of 8 months in 2015. The study revealed information about translators’ web search behaviour and usage of online linguistic resources to solve terminological problems. Besides these, we have identified needs and shortcomings of different CAT tools regarding the terminology management component, integration with online databases and exchange of terminological data. In task (3) we identified two subtasks: monolingual term extraction and term linking (i.e., linking terms to their corresponding translation). For the term extraction, we applied a hybrid approach combining linguistic and statistical information (Macken et al., 2013). Subsequently, two different techniques were investigated to link the translation equivalents: probabilistic topic models as well as different neural network architectures. The best results were obtained with a neural network model. In order to evaluate the performance of the different modules, we created a gold standard for three different domains (heart failure, wind energy, corruption) in three different languages (English, French, Dutch). References Poly-GrETEL. Available online at https://clarin.eu/showcase/poly-gretel-search-engine-querying-syntactic-constructions-parallel-treebanks Macken, L., Lefever, E. & Hoste, V. (2013). TExSIS: Bilingual Terminology Extraction from Parallel Corpora Using Chunk-based Alignment. Terminology, 19 (1), 1-30. John Benjamins Publishing Company, Amsterdam, Netherlands. van den Bergh, Jan et al. (2015). Recommendations for Translation Environments to Improve Translators' workflows. Translating and the Computer 37. Asling. London. van der Lek-Ciudin, Iulianna, Tom Vanallemeersch and Ken de Wachter (2015). Contextual Inquiries at translators’ workplaces. In Proceedings of the 1st TAO-CAT, Angers 2015 TermWise: Resources for Specialised Language Use. Information available online at http://liir.cs.kuleuven.be/projects.php?project=177