Published as a conference paper at ICLRDYNAMIC N EURAL P ROGRAM E MBEDDINGS FOR P RO GRAM R EPAIR arXiv:1711.07163v3 [cs.AI] 25 Feb 2018

Source URL: rishabhmit.bitbucket.io

• Software engineering
• Computing
• Computer programming
• Programming languages
• Source code
• Syntax
• ALGOL 68
• Artificial neural network
• Exception handling
• Semantics
• For loop

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Source URL: www.statmt.org

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Source URL: www.ai.sri.com

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Proceedings of the Australasian Language Technology Workshop 2007, pagesPractical Queries of a Massive n-gram Database Tobias Hawker Mary Gardiner Andrew Bennetts

Source URL: www.aclweb.org

The Operation Sequence Model — Combining N-Gram-Based and Phrase-Based Statistical Machine Translation Nadir Durrani∗ QCRI Qatar

Source URL: aclweb.org

Learning N-gram Language Models from Uncertain Data Vitaly Kuznetsov1,2 , Hank Liao2 , Mehryar Mohri1,2 , Michael Riley2 , Brian Roark2 1 Courant Institute, New York University 2 Google, Inc.

Source URL: www.cs.nyu.edu

Faster and Smaller N -Gram Language Models Adam Pauls Dan Klein Computer Science Division University of California, Berkeley {adpauls,klein}@cs.berkeley.edu

Source URL: www.aclweb.org