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Petabyte-Scale Text Processing with Spark. Running Lisp in Production. At Grammarly, the foundation of our business, our core grammar engine, is written in Common Lisp. It currently processes more than a thousand sentences per second, is horizontally scalable, and has reliably served in production for almost 3 years. Decoupling a Monolithic Server Application. 2015 Summer Internship in the Core Team. The Dirty Little Secret of Constituency Parser Evaluation. The task of comparing constituency parsers is ...

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Petabyte-Scale Text Processing with Spark. Running Lisp in Production. At Grammarly, the foundation of our business, our core grammar engine, is written in Common Lisp. It currently processes more than a thousand sentences per second, is horizontally scalable, and has reliably served in production for almost 3 years. Decoupling a Monolithic Server Application. 2015 Summer Internship in the Core Team. The Dirty Little Secret of Constituency Parser Evaluation. The task of comparing constituency parsers is ...

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Recent Posts - Grammarly Lab Journal | tech.grammarly.com Reviews

https://tech.grammarly.com

Petabyte-Scale Text Processing with Spark. Running Lisp in Production. At Grammarly, the foundation of our business, our core grammar engine, is written in Common Lisp. It currently processes more than a thousand sentences per second, is horizontally scalable, and has reliably served in production for almost 3 years. Decoupling a Monolithic Server Application. 2015 Summer Internship in the Core Team. The Dirty Little Secret of Constituency Parser Evaluation. The task of comparing constituency parsers is ...

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2015 Summer Internship in the Core Team - Grammarly Lab Journal

http://tech.grammarly.com/blog/posts/2015-Summer-Internship-in-the-Core-Team.html

2015 Summer Internship in the Core Team. Posted by Vsevolod Dyomkin on 2015-04-03. For a period of up to 3 months starting on June 1st, in each office, we're ready to invite 1 person to work in either of the following 3 directions:. If you're interested in any of the three, please, send an email to mailto:vseloved@grammarly.com. CompLing: write a script that will gather all uncountable English nouns from http:/ wiktionary.com. Data Science: the task. The rules are the following:. A cover letter explainin...

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How to Split Sentences - Grammarly Lab Journal

http://tech.grammarly.com/blog/posts/How-to-Split-Sentences.html

How to Split Sentences. Posted by Oleksii Sliusarenko and Vsevolod Dyomkin on 2014-04-22. In this post, we analyze the problem of sentence splitting for English texts and evaluate some of the approaches to solving it. As usual, good data is key, and we discuss the usage of OntoNotes and MASC corpora for this task. The problem at hand. Here are a some of the peculiar examples. He adds, in a far less amused tone, that the government has been talking about making Mt. Names after abbreviation, no split.

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The Dirty Little Secret of Constituency Parser Evaluation - Grammarly Lab Journal

http://tech.grammarly.com/blog/posts/The-Dirty-Little-Secret-of-Constituency-Parser-Evaluation.html

The Dirty Little Secret of Constituency Parser Evaluation. Posted by Mariana Romanyshyn and Vsevolod Dyomkin on 2014-11-03. Below is a summary of the known approaches. This metric takes bracketed representations of trees, aligns them according to the leaf nodes and counts the brackets that do not coincide, thus showing the nodes that differ in span. The average number of crossed brackets per sentence is also calculated. Minimum Tree Edit Distance. The minimum edit distance between trees represents the nu...

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Petabyte-Scale Text Processing with Spark - Grammarly Lab Journal

http://tech.grammarly.com/blog/posts/Petabyte-Scale-Text-Processing-with-Spark.html

Petabyte-Scale Text Processing with Spark. Posted by Oleksii Sliusarenko and Kevin McIntire on 2015-07-21. Filed under: big data. How Big Is Too Big? To apply these algorithms and transform our large corpora in reasonable timeframes, we utilize distributed systems to run the processing in parallel; indeed, this is an ideal application for a map/reduce system. The Obvious Choice: EMR. EMR) is a service that automatically launches server instances and deploys Apache Hadoop. As an experiment, we boldly (and...

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Running Lisp in Production - Grammarly Lab Journal

http://tech.grammarly.com/blog/posts/Running-Lisp-in-Production.html

Running Lisp in Production. Posted by Vsevolod Dyomkin and Kevin McIntire on 2015-06-26. At Grammarly, the foundation of our business, our core grammar engine, is written in Common Lisp. It currently processes more than a thousand sentences per second, is horizontally scalable, and has reliably served in production for almost 3 years. Our Lisp services are conceptually a classical AI application that operates on huge piles of knowledge created by linguists and researchers. It's mostly a CPU-bound pro...

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Lisp, the Universe and Everything: 2015-06

http://lisp-univ-etc.blogspot.com/2015_06_01_archive.html

Lisp, the Universe and Everything. Running Lisp in Production at Grammarly. We have written a blog post. Describing almost 3 years of our Lisp in production experience at Grammarly. Here's a small abstract for it. At Grammarly, the foundation of our business, our core grammar engine, is written in Common Lisp. It currently processes more than a thousand sentences per second, is horizontally scalable, and has reliably served in production for almost 3 years. Continue to the full text.

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Lisp, the Universe and Everything: Running Lisp in Production at Grammarly

http://lisp-univ-etc.blogspot.com/2015/06/running-lisp-in-production-at-grammarly.html

Lisp, the Universe and Everything. Running Lisp in Production at Grammarly. We have written a blog post. Describing almost 3 years of our Lisp in production experience at Grammarly. Here's a small abstract for it. At Grammarly, the foundation of our business, our core grammar engine, is written in Common Lisp. It currently processes more than a thousand sentences per second, is horizontally scalable, and has reliably served in production for almost 3 years. Continue to the full text.

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Recent Posts - Grammarly Lab Journal

Petabyte-Scale Text Processing with Spark. Running Lisp in Production. At Grammarly, the foundation of our business, our core grammar engine, is written in Common Lisp. It currently processes more than a thousand sentences per second, is horizontally scalable, and has reliably served in production for almost 3 years. Decoupling a Monolithic Server Application. 2015 Summer Internship in the Core Team. The Dirty Little Secret of Constituency Parser Evaluation. The task of comparing constituency parsers is ...

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