NLP/ML
How Grammarly Uses Natural Language Processing and Machine Learning to Identify the Main Points in a Message
How Grammarly Uses Natural Language Processing and Machine Learning to Identify the Main Points in a MessageWhen you compose an email or document, it can be hard to articulate your thoughts in an organized manner. The most important...September 30, 2021
ATTN: How Grammarly’s NLP/ML Team Figured Out Where Readers Focus in an Email
ATTN: How Grammarly’s NLP/ML Team Figured Out Where Readers Focus in an EmailThis article was co-written by Machine Learning Engineer Karun Singh and Product Manager Dru Knox. How do you know if the main...September 9, 2021
When Less Is More: Text Simplification by Tagging
When Less Is More: Text Simplification by TaggingThis article was co-written by Grammarly Applied Research Scientists Kostiantyn Omelianchuk, Vipul Raheja, and Oleksandr...June 29, 2021
Announcing UA-GEC: A Grammatical Error Correction Dataset for the Ukrainian Language
Announcing UA-GEC: A Grammatical Error Correction Dataset for the Ukrainian LanguageThe natural language processing (NLP) research community has traditionally focused on the English language, but in just the past...April 5, 2021
How Grammarly’s NLP Team Is Building the Future of Communication
How Grammarly’s NLP Team Is Building the Future of CommunicationThis article was co-written by Yury Markovsky, Engineering Manager; Timo Mertens, Head of ML and NLP Products; and Chad Mills,...February 25, 2021
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