Trevor Cohn
researcher, natural language processing, Melbourne
Facts
9 properties- Instance of
- human
- Occupation
- researcher, computational linguist
- Employer
- University of Melbourne[5]
- Field of work
- machine translation, computational linguistics[3][4]
- Official website
- people.eng.unimelb.edu.au[9]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Trevor Cohn
🔖 Identifiers · 9
- ORCID iD
- 0000-0003-4363-1673
- OpenAlex ID
- A5078530959as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 66/4613
- Dimensions author ID
- 07375200615.37
- Google Knowledge Graph ID
- /g/11f0wkmcn1
- Google Scholar author ID
- FCom398AAAAJ
- ResearcherID
- E-8053-2014
- Scopus author ID
- 15043872200
- Semantic Scholar author ID
- 143620680
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 63
A Bayesian non-linear method for feature selection in machine translation quality estimation,
An Attentional Model for Speech Translation Without Transcription,
A Neural Network Model for Low-Resource Universal Dependency Parsing,
A Stochastic Decoder for Neural Machine Translation,
A Survey for Efficient Open Domain Question Answering,
Balancing out Bias: Achieving Fairness Through Balanced Training,
BLEU deconstructed: Designing a Better MT Evaluation Metric,
ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents
+55 more
← Authored by 63
A Bayesian non-linear method for feature selection in machine translation quality estimation,
An Attentional Model for Speech Translation Without Transcription,
A Neural Network Model for Low-Resource Universal Dependency Parsing,
A Stochastic Decoder for Neural Machine Translation,
A Survey for Efficient Open Domain Question Answering,
Balancing out Bias: Achieving Fairness Through Balanced Training,
BLEU deconstructed: Designing a Better MT Evaluation Metric,
ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents
+55 more
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Summary
Trevor Cohn worked as a researcher[1] and computational linguist[2].
Body
Career and Affiliations
Fields of work include machine translation[3] and computational linguistics[4], an interdisciplinary science[10].
FAQs
What did Trevor Cohn do for work?
Trevor Cohn worked as researcher[1] and computational linguist[2].