2020 - ACM Fellow For human-centered and linguistically inspired approaches to natural language processing
2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to natural language understanding and representation, and development of the widely recognized methods for interlingual machine translation.
1994 - Fellow of Alfred P. Sloan Foundation
His scientific interests lie mostly in Artificial intelligence, Natural language processing, Machine translation, Information retrieval and Rule-based machine translation. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Contrast and Focus. His work on Phrase, Sentence, Computational linguistics and Natural language is typically connected to Structure as part of general Natural language processing study, connecting several disciplines of science.
His Machine translation research is multidisciplinary, incorporating perspectives in NIST, Speech recognition and Translation. His Transfer-based machine translation and Example-based machine translation study in the realm of Rule-based machine translation interacts with subjects such as Weighting. The Evaluation of machine translation study combines topics in areas such as Annotation, BLEU, Postediting, Interactive machine translation and Hybrid machine translation.
Bonnie J. Dorr mostly deals with Artificial intelligence, Natural language processing, Machine translation, Information retrieval and Linguistics. His study in Sentence, Semantics, Interlingua, Parsing and Syntax is carried out as part of his Artificial intelligence studies. His Sentence research incorporates themes from Speech recognition and Selection.
In his work, WordNet is strongly intertwined with Verb, which is a subfield of Natural language processing. His Machine translation research includes elements of Translation and Phrase. His studies deal with areas such as Interlingual machine translation and Dynamic and formal equivalence as well as Transfer-based machine translation.
Artificial intelligence, Natural language processing, Machine translation, NIST and Data science are his primary areas of study. The concepts of his Artificial intelligence study are interwoven with issues in Cognitive science and Interface. He is interested in Natural language, which is a field of Natural language processing.
His research integrates issues of Training set, Phrase and Literal in his study of Machine translation. Bonnie J. Dorr interconnects Interoperability and Systems engineering in the investigation of issues within NIST. His work in the fields of Data science, such as Astroinformatics, intersects with other areas such as Point.
Bonnie J. Dorr spends much of his time researching Artificial intelligence, Data science, Machine translation, Natural language processing and Big data. Bonnie J. Dorr studies Artificial intelligence, focusing on Deep learning in particular. His Data science research is multidisciplinary, incorporating elements of NIST, Segmentation, Remote sensing and Interoperability.
His Machine translation research integrates issues from Spatial language, Component and Literal. The Natural language research Bonnie J. Dorr does as part of his general Natural language processing study is frequently linked to other disciplines of science, such as Statistical relational learning, therefore creating a link between diverse domains of science. His study focuses on the intersection of Big data and fields such as Leverage with connections in the field of Management science and Information access.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A Study of Translation Edit Rate with Targeted Human Annotation
Matthew Snover;Bonnie Dorr;Richard Schwartz;Linnea Micciulla.
conference of the association for machine translation in the americas (2006)
Machine translation : a view from the lexicon
Bonnie Jean Dorr.
Machine translation divergences: a formal description and proposed solution
Bonnie J. Dorr.
Computational Linguistics (1994)
Hedge Trimmer: a parse-and-trim approach to headline generation
Bonnie Dorr;David Zajic;Richard Schwartz.
north american chapter of the association for computational linguistics (2003)
Generating phrasal and sentential paraphrases: A survey of data-driven methods
Nitin Madnani;Bonnie J. Dorr.
Computational Linguistics (2010)
Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus
Saif Mohammad;Cody Dunne;Bonnie Dorr.
empirical methods in natural language processing (2009)
The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
Steven Bird;Robert Dale;Bonnie J. Dorr;Bryan R. Gibson.
language resources and evaluation (2008)
Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric
Matthew Snover;Nitin Madnani;Bonnie Dorr;Richard Schwartz.
workshop on statistical machine translation (2009)
A survey of multilingual text retrieval
Douglas W. Oard;Bonnie J. Dorr.
Combining Outputs from Multiple Machine Translation Systems
Antti-Veikko Rosti;Necip Fazil Ayan;Bing Xiang;Spyros Matsoukas.
north american chapter of the association for computational linguistics (2007)
Profile was last updated on December 6th, 2021.
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