8 papers · 1 filter
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…
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…
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…
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…
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…
Bunsetsu Identification Using Category-Exclusive Rules
Masaki Murata, Kiyotaka Uchimoto, Qing Ma +1
This paper describes two new bunsetsu identification methods using supervised learning. Since Japanese syntactic analysis is usually done after bunsetsu identification, bunsetsu id…