Colin Cherry is a distinguished Staff Research Scientist at Google Research, specializing in Natural Language Processing (NLP) and Machine Translation (MT). His work focuses on developing innovative models and algorithms to improve the quality, efficiency, and applicability of machine translation systems, particularly for low-resource languages and challenging linguistic phenomena. Before joining Google, he made significant contributions to the field during his tenure at the National Research Council Canada (NRC). Colin is known for his deep expertise in areas such as unsupervised machine translation, neural machine translation architectures, decoding algorithms, and the integration of linguistic knowledge into NLP models. He is an active member of the ACL (Association for Computational Linguistics) community, regularly publishing in top-tier conferences and journals, and contributing to the broader advancement of language technologies.
Colin Cherry's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led and contributed significantly to foundational research in Unsupervised Neural Machine Translation (UNMT), developing methods that allow for training translation models without parallel sentence-aligned corpora. This breakthrough has been pivotal for improving MT for low-resource languages.
Authored influential work on decoding algorithms, including improvements to beam search and techniques for incorporating constraints and linguistic information during translation generation, enhancing fluency and accuracy.
Plays a key role in developing and improving Google Translate's underlying technology, impacting billions of users globally by making information more accessible across language barriers.
Has a prolific publication record with numerous papers in leading NLP conferences (ACL, EMNLP, NAACL) and journals, often highly cited and influential in shaping research directions within the NLP community.
Has served as a co-organizer for the highly influential Workshop on Machine Translation (WMT), a premier venue for shared tasks and research in machine translation, fostering community collaboration and benchmarking progress in the field.
University of Ulster - Year 2013
Queen's University Belfast - Year 2009
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