The interpretation and translation of metaphors is a challenging
task which has received much attention in the cognitive,
linguistics and translation communities. The natural language
processing (NLP) community provides tools for monolingual metaphor
detection and interpretation as well as excellent cross-lingual
representations and machine translation systems, but little work
addresses metaphors in machine-learning translation. Metaphors are
not only very flexible in their structures and meanings; they also
strongly depend on the involved languages and cultures. Our
long-term vision is to create a modular machine-learning
translation system across language pairs that induces and
successfully integrates knowledge and conditions for metaphor
translation.
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