Grammarly Engineering Blog

DataMeasuring Marketing Effectiveness in a Cookie-Less World

Featured

NLP/MLDetecting Delicate Text: Going Beyond Toxicity
NLP/MLHow Grammarly's NLP Team Is Building the Future of Communication
InfrastructureEffective Customer Data Protection: How Grammarly Scales and Automates Our Vulnerability Management Program

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NLP/MLUA-GEC 2.0: Announcing an Expanded Grammatical Error Correction Dataset for the Ukrainian Language
NLP/MLAnnotation Best Practices for Building High-Quality Datasets
ProductInnovating the Basics: Achieving Superior Precision and Recall in Grammatical Error Correction
NLP/MLExperimenting with GECToR: Research into Ensembling and Knowledge Distillation for Large Sequence Taggers
NLP/MLUnderstanding How Humans Revise: Introducing IteraTeR, a New NLP Dataset for Iterative Text Revision
ProductUsing Dependency Injection With Needle for More Than Just Testing
ProductBuilding a Flexible Deployment System for Grammarly for Windows using F# and AWS Lambda
WebUnder the Hood of the Grammarly Editor, Part Two: How Suggestions Work
InfrastructureScaling AWS Infrastructure to Support Multiple Regions

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