activity
19992001
most citedAn Example-Based Approach to Japanese-to-English Translation of Tense, Aspect, and Modality

15 citations · 35 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2001★ 8 cited

Part of Speech Tagging in Thai Language Using Support Vector Machine

Masaki Murata, Qing Ma, Hitoshi Isahara

The elastic-input neuro tagger and hybrid tagger, combined with a neural network and Brill's error-driven learning, have already been proposed for the purpose of constructing a pra…

cs.CL2001

Using a Support-Vector Machine for Japanese-to-English Translation of Tense, Aspect, and Modality

Masaki Murata, Kiyotaka Uchimoto, Qing Ma +1

This paper describes experiments carried out using a variety of machine-learning methods, including the k-nearest neighborhood method that was used in a previous study, for the tra…

cs.CL2001★ 5 cited

Correction of Errors in a Modality Corpus Used for Machine Translation by Using Machine-learning Method

Masaki Murata, Masao Utiyama, Kiyotaka Uchimoto +2

We performed corpus correction on a modality corpus for machine translation by using such machine-learning methods as the maximum-entropy method. We thus constructed a high-quality…

cs.CL2001

CRL at Ntcir2

Masaki Murata, Masao Utiyama, Qing Ma +2

We have developed systems of two types for NTCIR2. One is an enhenced version of the system we developed for NTCIR1 and IREX. It submitted retrieval results for JJ and CC tasks. A…

cs.CL2001

A Machine-Learning Approach to Estimating the Referential Properties of Japanese Noun Phrases

Masaki Murata, Kiyotaka Uchimoto, Qing Ma +1

The referential properties of noun phrases in the Japanese language, which has no articles, are useful for article generation in Japanese-English machine translation and for anapho…

cs.CL2000★ 1 cited

Japanese Probabilistic Information Retrieval Using Location and Category Information

Masaki Murata, Qing Ma, Kiyotaka Uchimoto +3

Robertson's 2-poisson information retrieve model does not use location and category information. We constructed a framework using location and category information in a 2-poisson m…