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This paper describes a free/open-source implementation of the lightsliding-window (LSW) part-of-speech tagger for the Apertium free/open-sourcemachine translation platform. Firstly, the mechanism and training process ofthe tagger are reviewed, and a new method for incorporating linguistic rules isproposed. Secondly, experiments are conducted to compare the performances ofthe tagger under different window settings, with or without Apertium-style"forbid" rules, with or without Constraint Grammar, and also with respect tothe traditional HMM tagger in Apertium.

A Light Sliding-Window Part-of-Speech Tagger for the Apertium Free/Open-Source Machine Translation Platform