Language Identification and Modeling in Specialized Hardware

Kenneth Heafield, Rohan Kshirsagar, Santiago Barona

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We repurpose network security hardware to perform language identification and language modeling tasks. The hardware is a deterministic pushdown transducer since it executes regular expressions and has a stack. One core is 2.4 times as fast at language identification and 1.8 to 6 times as fast at part-of-speech language modeling.
Original languageEnglish
Title of host publicationProceedings of the The 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing
Number of pages6
Publication statusPublished - 19 Jul 2015

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