In 2010, Greedy Intelligence won the £5,000 Cambridge University Entrepreneurs’ (CUE) challenge and received funding from Cambridge Enterprise, the university’s official seed funding, marking its transformation from an extracurricular project into a startup. That’s why the system can spot contextual errors.”
“We used machine learning and other artificial intelligence algorithms to make the computer not only understand grammar rules, but to also understand the semantics and context of the whole paper. “We maintained a certain level of accuracy while we expanded coverage to make sure that the checker could understand errors by non-native speakers,” says Zhang.
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The team tried different algorithms before having a “major breakthrough” in 2009, when they finally achieved the right balance between coverage and accuracy, the two things proofreading software has to balance. Zhang developed 1Checker with Greedy Intelligence CTO Lin Sun and other Cambridge graduate students from China who wanted to use the software on their own writing. Other common errors include mixing up homophones like “affect” and “effect.” He also discovered that Microsoft Word’s built-in spelling and grammar checking tools frequently did not catch common errors made by non-native English speakers.įor example, Zhang says, someone who learned English as a second language might write “red big bag” instead of “big red bag.” Word’s spellchecker would ignore the confusing sequence of adjectives because it is a mistake most native English speakers don’t make. Zhang, a native Chinese speaker, had a difficult time finding proofreaders to help him check academic papers he wanted to submit for publication.
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1Checker and its sibling 1Course, an online learning management platform for language schools, identifies errors commonly made by people who learned English as a second language and makes contextually appropriate suggestions so users can avoid embarrassing errors.īoth software platforms were developed by Greedy Intelligence, a London-based startup that received seed funding from Cambridge Enterprise, the university’s seed fund, and is currently closing its Series A round.Ĭo-founder Yichi Zhang began working on 1Checker’s natural language processing technology in 2007 while studying for a PhD in software engineering at Cambridge. Developed by two Cambridge PhD students, 1Checker is a proofreading platform that seeks to be a better alternative to Microsoft Word’s spellchecker and Grammarly for non-native English speakers.
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