H
Hideki Isozaki
Researcher at Nippon Telegraph and Telephone
Publications - 83
Citations - 2541
Hideki Isozaki is an academic researcher from Nippon Telegraph and Telephone. The author has contributed to research in topics: Machine translation & Sentence. The author has an hindex of 25, co-authored 83 publications receiving 2445 citations.
Papers
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Proceedings Article
Automatic Evaluation of Translation Quality for Distant Language Pairs
TL;DR: An automatic evaluation metric based on rank correlation coefficients modified with precision is proposed and meta-evaluation of the NTCIR-7 PATMT JE task data shows that this metric outperforms conventional metrics.
Proceedings ArticleDOI
Efficient support vector classifiers for named entity recognition
Hideki Isozaki,Hideto Kazawa +1 more
TL;DR: It is shown that an NE recognizer based on Support Vector Machines (SVMs) gives better scores than conventional systems, but off-the-shelf SVM classifiers are too inefficient for this task.
Proceedings Article
Online Large-Margin Training for Statistical Machine Translation
TL;DR: Experiments on Arabic-toEnglish translation indicated that a model trained with sparse binary features outperformed a conventional SMT system with a small number of features.
Proceedings Article
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
Jun Suzuki,Hideki Isozaki +1 more
TL;DR: Evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing tasks, such as part-of-speech tagging, syntactic chunking, and named entity recognition is provided.
Proceedings ArticleDOI
An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
TL;DR: The effectiveness of the proposed methods on dependency parsing experiments using two widely used test collections: the Penn Treebank for English, and the Prague Dependency Tree-bank for Czech are demonstrated.