At Grammarly, we are passionate about improving human communication. Core to this mission has been our work in natural language processing (NLP). Hear from our team of NLP, machine learning (ML), and linguistics experts who are solving complex problems and creating a delightful product for Grammarly’s 30 million daily active users.
Learn more about Grammarly ML/NLP!
Vipul Raheja, Applied Research Scientist
Writing is, by nature, a process that’s strategic, adaptive, and more importantly, iterative. A crucial part of writing is editing and revising the text. In this talk, we’ll present IteraTeR: the first large-scale, multi-domain, edit-intention annotated corpus of iteratively revised text. We’ll discuss how this work helps us better understand the text-revision process, making vital connections between edit intentions and writing quality, as well as supporting computational modeling of text revision.
Dima Unkovsky, Machine Learning Software EngineerÂ
Do you love dependency or constituency trees as much as we do? Then this talk is for you! We’ll discuss the story of the trees, links, and nodes — there and back again!
Tushar Janefalkar, Machine Learning Software EngineerÂ
In this talk, we’ll focus on how we built the offline GEC model and the inference library that was integrated into the Samsung Keyboard as part of Grammarly’s Android SDK.
