Multilingual Hierarchy Generation and Alignment Using Self-Organizing Maps

Multilingual information retrieval has attracted lots of attention in recent years due to the explosive increase of multilingual Web pages. It will not be easy to retrieve documents written in languages other than the query if the relationships among entities of different languages were not found. In this work, we will develop a method based on self-organizing maps to organize documents into hierarchy. When hierarchies of individual languages are developed, an alignment process is then applied on these hierarchies to discover the associations between entities of different languages. The method had been performed on a set of parallel corpora containing Chinese and English documents and obtained promising result.