Crisis MT: Developing A Cookbook for MT in Crisis Situations

By William D. Lewis, Robert Munro, Stephan Vogel. 2011

62 citations recorded by the source corpus.

Subfields: Natural Language Processing, Machine Translation

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Citations in the corpus

Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling (2021, background): “The limited number of publications concerned with NLP for emergencies tend to focus on provision of tools and frameworks for tasks such as machine translation (e.g. Lewis et al., 2011).”
SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems (2022, background): “The few publications on NLP for emergencies tend to focus on provision of tools and frameworks for tasks such as machine translation (e.g. Lewis et al., 2011).”
Open domain event extraction from twitter (2012, background): “For example, recent work has explored Part of Speech tagging [19], geographical variation in language found on Twitter [13, 14], modeling informal conversations [44, 45, 9], and also applying NLP techniques to help crisis workers with the flood of information following natural disasters [35, 27, 36]”
Parallel FDA5 for Fast Deployment of Accurate Statistical Machine Translation Systems (2014, background): “Parallel FDA5 allows rapid prototyping of SMT systems for a given target domain or task and can be very useful for MT in target domains with limited resources or in disaster and crisis situations (Lewis et al., 2011).”
Findings of the 2011 Workshop on Statistical Machine Translation (2011, methodology): “We invited Will Lewis, Rob Munro and Stephan Vogel to publish a paper about their experience developing translation technology in response to the crisis (Lewis et al., 2011).”