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Collecting domain specific data for MT: an evaluation of the ParaCrawlpipeline., , , , , , , and . MTSummit (2), page 186-195. European Association for Machine Translation, (2019)OCR, Classification& Machine Translation (OCCAM)., , , , , , , , and . EAMT, page 481-482. European Association for Machine Translation, (2020)CEFAT4Cities, a Natural Language Layer for the ISA2 Core Public Service Vocabulary., , , , , , , and . EAMT, page 483-484. European Association for Machine Translation, (2020)Being Generous with Sub-Words towards Small NMT Children., , , , and . LREC, page 3650-3656. European Language Resources Association, (2020)ELRC Action: Covering Confidentiality, Correctness and Cross-linguality., , , , , and . LREC, page 6240-6249. European Language Resources Association, (2022)Automatically extracting the semantic network out of public services to support cities becoming Smart Cities., , , , , , , , and . EAMT, page 341-342. European Association for Machine Translation, (2022)Synthetic Data Generation for Multilingual Domain-Adaptable Question Answering Systems., and . EAMT, page 151-160. European Association for Machine Translation, (2022)