APE-QUEST. - Joachim Van den Bogaert; Heidi Depraetere; Sara Szoc; Tom Vanallemeersch; Koen Van Winckel; Frederic Everaert; Lucia Specia; Julia Ive; Maxim Khalilov; Christine Maroti; Eduardo Farah; Artur Ventura (MTSummit (2), 2019)

Collecting domain specific data for MT: an evaluation of the ParaCrawlpipeline. - Arne Defauw; Tom Vanallemeersch; Sara Szoc; Frederic Everaert; Koen Van Winckel; Kim Scholte; Joris Brabers; Joachim Van den Bogaert (MTSummit (2), 2019)

Misalignment Detection for Web-Scraped Corpora: A Supervised Regression Approach. - Arne Defauw; Sara Szoc; Anna Bardadym; Joris Brabers; Frederic Everaert; Roko Mijic; Kim Scholte; Tom Vanallemeersch; Koen Van Winckel; Joachim Van den Bogaert (Informatics, 2019)

CEFAT4Cities, a Natural Language Layer for the ISA2 Core Public Service Vocabulary. - Joachim Van den Bogaert; Arne Defauw; Sara Szoc; Frederic Everaert; Koen Van Winckel; Alina Kramchaninova; Anna Bardadym; Tom Vanallemeersch (EAMT, 2020)

APE-QUEST: an MT Quality Gate. - Heidi Depraetere; Joachim Van den Bogaert; Sara Szoc; Tom Vanallemeersch (EAMT, 2020)

Being Generous with Sub-Words towards Small NMT Children. - Arne Defauw; Tom Vanallemeersch; Koen Van Winckel; Sara Szoc; Joachim Van den Bogaert (LREC, 2020)

A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality? - Julia Ive; Lucia Specia; Sara Szoc; Tom Vanallemeersch; Joachim Van den Bogaert; Eduardo Farah; Christine Maroti; Artur Ventura; Maxim Khalilov (LREC, 2020)

Automatically extracting the semantic network out of public services to support cities becoming Smart Cities. - Joachim Van den Bogaert; Laurens Meeus; Alina Kramchaninova; Arne Defauw; Sara Szoc; Frederic Everaert; Koen Van Winckel; Anna Bardadym; Tom Vanallemeersch (EAMT, 2022)

ELRC Action: Covering Confidentiality, Correctness and Cross-linguality. - Tom Vanallemeersch; Arne Defauw; Sara Szoc; Alina Kramchaninova; Joachim Van den Bogaert; Andrea Lösch (LREC, 2022)

AI4Culture: Towards Multilingual Access for Cultural Heritage Data. - Tom Vanallemeersch; Sara Szoc; Laurens Meeus (EAMT (2), 2024)