A Characterwise Windowed Approach to Hebrew Morphological Segmentation

Code

• github.com/amir-zeldes/RFTokenizer
  Officialnone★ 0

Abstract

This paper presents a novel approach to the segmentation of orthographic word forms in contemporary Hebrew, focusing purely on splitting without carrying out morphological analysis or disambiguation. Casting the analysis task as character-wise binary classification and using adjacent character and word-based lexicon-lookup features, this approach achieves over 98% accuracy on the benchmark SPMRL shared task data for Hebrew, and 97% accuracy on a new out of domain Wikipedia dataset, an improvement of ~4% and 5% over previous state of the art performance.

Tasks

Reproductions