Matsson, Arild2019-11-182019-11-182019-11-18http://hdl.handle.net/2077/62521Type Theory with Records (TTR) provides accounts of a wide range of semantic and linguistic phenomena in a single framework. This work proposes a TTR model of perception and language. Utilizing PyTTR, a Python implementation of TTR, the model is then implemented as an executable script. Over pure Python programming, TTR provides a transparent formal specification. The implementation is evaluated in a basic visual question answering (VQA) use case scenario. The results show that an implementation of a TTR model can account for multi-modal knowledge representation and work in a VQA setting.engvisual question answeringartificial intelligencetype theoryimage recognitionperceptual semanticsspatial relationsText