---
title: "A Hybrid Approach to Interactive Machine Translation - Integrating Rule-based, Corpus-based, and Example-basedMethod"
authors:
  - "Kiyoshi Yamabana"
  - "Shin-ichiro Kamei"
  - "Kazunori Muraki"
  - "Shinichi Doi"
  - "Shinko Tamura"
  - "Kenji Satoh"
doi: ""
url: "https://ijcai.org/proceedings/1997/141"
pdf: "https://ijcai.org/proceedings/1997/0141.pdf"
venue: "Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence"
year: 1997
pages: "977-981"
track: "Natural-language Processing and Graphical Presentation"
keywords:
---

# A Hybrid Approach to Interactive Machine Translation - Integrating Rule-based, Corpus-based, and Example-basedMethod

Kiyoshi Yamabana, Shin-ichiro Kamei, Kazunori Muraki, Shinichi Doi, Shinko Tamura, Kenji Satoh

*Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence*, pages 977-981.

## Abstract

With rapid development of the Internet, demand is rising high for a personal tool to support writing foreign language document such as e-mail. However, translation result of an automatic MT system is often not satisfactory for this purpose and requires post-editing. In addition, a purely rule-based system does not necessarily provide a satisfactory result for specific expressions because of lack of corresponding rules, nor purely example-based system for expressions not covered by examples. A hybrid approach is worthwhile to pursuit, where automatic and interactive approaches , as well as rule-oriented and data-oriented approaches are integrated. In this article, we propose a hybrid interactive machine translation method that combines rule-based, corpus-based and example-based approach with an interactive man-machine interface. We show that the previously proposed rule-based model can be naturally integrated with different translation paradigms. The interactive operations, previously introduced and shown to be useful for disambiguation in the rule-based transfer, are shown to be also useful to control covering by and selection of the matching examples, two major decisions in the example-based translation method. We also mention an online learning scheme of translation pairs from the user interaction.