Topics of interest include, but are not limited to:

  • Theoretic study on semantic machine translation
  • Semantic representations for machine translation
  • lexical semantics for machine translation
  • compositional semantics for machine translation
  • discourse semantics for machine translation
  • Distributional semantics for machine translation
  • Semantic knowledge based machine translation
  • Neural machine translation
  • New frameworks, models and algorithms for semantic machine translation
  • Semantically motivated machine translation evaluation and error analysis
  • Mining semantic knowledge from corpus for translation
  • Applications of semantic machine translation in related areas, e.g., cross-lingual information retrieval, speech translation