Publication

A Context Sensitive Real-Time Spell Checker with Language Adaptability

2020
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Abstract
We present a novel language adaptable spell checking system that detects spelling errors and suggests context-sensitive corrections in real-time. We show that our system can be extended to new languages with minimal language-specific processing. Available literature majorly discusses spell checkers for English but there are no publicly available systems that can be extended to work for other languages out of the box.Most of the systems do not work in real-time. We explain the process of generating a languages word dictionary and n-gram probability dictionaries using Wikipedia-articles data and manually curated video subtitles. We present the results of generating a list of suggestions for a misspelled word. We also propose three approaches to create noisy channel datasets of real-world typographic errors. Finally, we show the effectiveness of language adaptability of our proposed system by extending it to 24 languages.
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US, WA, Seattle
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US, WA, Seattle
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US, WA, Seattle
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US, WA, Seattle
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CA, ON, Toronto
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US, WA, Seattle
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DE, BE, Berlin
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US, WA, Seattle
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US, WA, Seattle
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US, WA, Seattle
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US, WA, Seattle
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US, NY, New York
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US, WA, Seattle
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US, WA, Seattle
Have you ever looked at the comments section of a website and wondered how many of the commenters are bots? Have you ever thought about buying a 5-star rated item but hesitated because the reviews didn’t look quite right? Do you get angry when people game the system to get an unfair advantage? If you’re interested in solving these sorts of problems, the Community Trust team could be a great fit.We own upholding trust in Amazon's Community features. These include Reviews, Questions & Answers, and other experiences where shoppers contribute content. We're solving abuse detection at scale, building rules and ML models to ensure contributions meet guidelines, and ensuring that other teams in the company with similar needs benefit from our expertise.Our team includes engineers, PMs, research scientists and business intelligence engineers. We're looking for a data scientist to join us to help design models to detect abuse.We're a diverse team passionate about operational excellence and high quality code. We value transparency, empowerment, experimentation, and appreciation. We are free from the heavy operational burden that is associated with other teams, and are able to iterate in a low stress environment. Our solutions influence the products and plans of multiple internal teams, and we design and build systems that improve the experience of millions of customers.
US, WA, Seattle
At Amazon, we strive every day to be Earth’s most customer centric company. Do you want to join an innovative team who uses machine learning, statistical and advanced analytical techniques to keep Amazon the safest and most trusted place to shop online? Are you interested in guiding key business decisions that help manage the trust and safety of millions of products and transactions every day?Amazon perfect order experience team is looking for an Applied Scientist to build efficient, flexible, and scalable analytics and machine learning solutions. In this role, you will have the end-to-end ownership of ML applications. You will work closely with brilliant scientists, economists and engineers in the team to build ML models, engineering pipelines and science applications, which have direct impacts on Amazon's Customers and Selling Partners. You will play an important role in leading the science innovation and contributing to critical design decisions. You will apply techniques such as graph modeling, natural language processing, and deep learning to ensure that Customers receive authentic products in the condition and with the functionality they expect, and quickly making things right when they don’t.