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Collaboration in language translation has a long history and continues to develop in the form of crowdsourced and community translation. More recently, efforts in collaborative translation for crisis communication have been noted. These efforts are far from being mature in nature. We propose that Agent Based Modelling (ABM) for crisis translation could have significant benefits for the field of disaster response. A systematic literature review reveals how little consideration has been given to the topic to date. We review the limited literature from the perspective of agent's attributes, behaviours, interactions, and their environmental and operational factors. These are useful as a list of observations to be considered in the future modelling of collaborative translation. The complexities of ABM for collaborative translation are also highlighted and we propose some theoretical underpinnings that could be used to further enhance ABM for collaborative crisis translation. Based on t

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