Abstract Meaning Representation 2.0 - Machine Translations

Abstract Meaning Representation 2.0 - Machine Translations was developed by researchers at the University of Edinburgh, School of Informatics and the University of Zurich, Department of Computational Linguistics. It consists of Spanish, German, Italian and Mandarin Chinese automatic translations of the source English and professionally-translated Spanish, German, Italian and Mandarin Chinese sentences in Abstract Meaning Representation 2.0 - Four Translations (LDC2020T07). The translations were collected through Google Translate between May 2018 and March 2024. The source English sentences are a subset (1,371 sentences) of the sentences contained in Abstract Meaning Representation (AMR) Annotation Release 2.0 (LDC2017T10), a semantic treebank of over 39,000 English natural language sentences from broadcast conversations, newswire and web text. The data in this release was designed to analyze various translation metrics and the behavior of automatic machine translation systems over time.