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This paper unites two word order constraints under domain-general minimal search
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We introduce a lightweight method to detect trending terms in cybersecurity forums.
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Using a novel tag prediction step in decoding we improve NMT quality in a low-resource scenario.
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We introduce a topic-based method for selecting examples that achieves leading translation results for low-resource, out-of-domain settings for translation with LLMs.
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We show LLMs fail to exploit grammatical explanations for translation, but benefit from typological knowledge for linguistic tasks.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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