50 citations · 121 across the 17 of their papers we have counts for
17 papers
A Comparison of Different Machine Transliteration Models
K. Choi, H. Isahara, J. Oh
Machine transliteration is a method for automatically converting words in one language into phonetically equivalent ones in another language. Machine transliteration plays an impor…
Using the DIFF Command for Natural Language Processing
Masaki Murata, Hitoshi Isahara
Diff is a software program that detects differences between two data sets and is useful in natural language processing. This paper shows several examples of the application of diff…
Universal Model for Paraphrasing -- Using Transformation Based on a Defined Criteria --
Masaki Murata, Hitoshi Isahara
This paper describes a universal model for paraphrasing that transforms according to defined criteria. We showed that by using different criteria we could construct different kinds…
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…