Hyungsuk Ji

A model for matching semantic maps between languages (French/English, English/French)

This article describes a spatial model for matching semantic values between two languages, French and English. Based on semantic similarity links, the model constructs a map that represents a word in the source language. Then the algorithm projects the map values onto a space in the target language. The new space abides by the semantic similarity links specific to the second language. Then the two maps are projected onto the same plane in order to detect overlapping values. For instructional purposes, the different steps are presented here using a few examples. The entire set of results is available at the following address: http://dico.isc.cnrs.fr.

Testing the cognitive relevance of a geometric model on a word association task: A comparison of humans, ACOM, and LSA

The general aim of this study is to validate the cognitive relevance of the geometric model used in the semantic atlases (SA). With this goal in mind, we compare the results obtained by the automatic contexonym organizing model (ACOM)—an SA-derived model for word sense representation based on contextual links—with human subjects’ responses on a word association task. We begin by positioning the geometric paradigm with respect to the hierarchical paradigm (WordNet) and the vector paradigm (latent semantic analysis [LSA] and the hyperspace analogue to language model). Then we compare ACOM’s responses with Hirsh and Tree’s (2001) word association norms based on the responses of two groups of subjects. The results showed that words associated by 50% or more of the Hirsh and Tree subjects were also proposed by ACOM (e.g., 71% of the words in the norms were also given by ACOM). Finally, we compare ACOM and LSA on the basis of the same association norms. The results indicate better performance for the geometric model.

A Korean Part-of-Speech Tagging System Using Resolution Rules for Individual Ambiguous Word

In this paper we present a Korean part-of-speech tagging system using resolution rules for individual ambiguous word. Our system resolves lexical ambiguities by common rules, rules for individual ambiguous word, and statistical approach. We built resolution rules for each word which has several distinct morphological analysis results with a view to enhancing tagging accuracy. Statistical approach based on Hidden Markov Model (HMM) is applied for ambiguous words that are not resolved by the rules. The experiment on the test set shows that the part-of-speech tagging system has high accuracy and broad coverage.

On Web Search: Some Activities and Challenges

Internet search engines have become an indispensable part of everyday living and business today. Although the capabilities of Internet search engines are incrementally improving steadily, it may be time for us to explore a few new directions that can take the search engines to the next level. In this article, we will summarize the current activities in advancing the state of Internet search engines, and explore a few directions of research and development.

Selecting target word using contexonym comparison method

For an advanced next-generation Human-Computer Interaction (HCI) interface, combining natural language processing (NLP) is an inevitable choice as human language is the most common and sophisticated communication device. Among various topics in NLP, word sense related topic is one of the most challenging areas. In this paper we present a method adopted from ACOM that automatically generate bilingual lexicon using aligned parallel corpus. The results of the test on the predefined test set for the English and French Bibles show the method correctly produce target words with 70% correct ratio. Besides, the proposed method generates target words that reflect contextual relationship between source and target words such as garrison and Philistins.

On Reflecting Visitors' Opinions Fairly and Accurately on the Web.

Today very popular Web portal sites, social networking sites, online media sites, commerce sites, etc., provide platforms for millions of visitors to visit daily and express their opinions on a wide variety of subjects. The site operators strive to increase the number of visitors, and the visitors often make use of several means at their disposal to participate in the formation of collective opinions. In this article, we examine the various means becoming available to the Web site visitors to express their opinions, and the challenges that both the site operators and the general public face to ensure the visitors’ opinions are fairly and accurately reflected in the collective opinions.