# A Characterwise Windowed Approach to Hebrew Morphological Segmentation

arXiv: https://arxiv.org/abs/1808.07214 · HTML: https://mlsanity.com/paper/1808.07214/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Aug 2018.

## Built on by (most cited first, 2 of 2)

- [A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing](https://mlsanity.com/paper/2210.07873/) (2022)
- [Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew](https://mlsanity.com/paper/2311.00658/) (2023)

## Abstract (arXiv)

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.