---
title: "A Statistical Model for Flexible String Similarity"
authors:
  - "Atsuhiro Takasu"
doi: ""
url: "https://ijcai.org/proceedings/2003/222"
pdf: "https://ijcai.org/proceedings/2003/0222.pdf"
venue: "Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence"
year: 2003
pages: "1420-1420"
track: ""
keywords:
---

# A Statistical Model for Flexible String Similarity

Atsuhiro Takasu

*Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence*, pages 1420-1420.

## Abstract

This paper proposes a statistical model for defining string similarity. The proposed model is based on hidden Markov model and defines string similarity as the combination of similarities of substrings. The proposed model has an advantage that the similarity is flexibly defined and complex parameters for the similarity are learnable from training data.