Morphological Annotation of a Large Spontaneous Speech Corpus in Japanese
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 1731-1736.
Abstract
We propose an efficient framework for human-aided morphological annotation of a large spontaneous speech corpus such as the Corpus of Spontaneous Japanese. In this framework, even when word units have several definitions in a given corpus, and not all words are found in a dictionary or in a training corpus, we can morphologically analyze the given corpus with high accuracy and low labor costs by detecting words not found in the dictionary and putting them into it. We can further reduce labor costs by expanding training corpora based on active learning.
@inproceedings{ijcai2007p280,
title = {Morphological Annotation of a Large Spontaneous Speech Corpus in Japanese},
author = {Uchimoto, Kiyotaka and Isahara, Hitoshi},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {1731--1736},
year = {2007},
url = {https://ijcai.org/proceedings/2007/280},
}
TY - CPAPER TI - Morphological Annotation of a Large Spontaneous Speech Corpus in Japanese AU - Uchimoto, Kiyotaka AU - Isahara, Hitoshi T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 1731 EP - 1736 UR - https://ijcai.org/proceedings/2007/280 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
