Interactive Vocabulary Acquisition in XTRA
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Natural Language. Pages 715-716.
Abstract
This paper describes a _j)l"actical solution to online dictionary update in X1RA, a machine transla,.. tion system developed by Xiuming Huang at the Computing Research Laboratory of New Mexico State University. The focus of the discussion in on IVES -- an Interactive Vocabulary Enrichment System built by this writer for X1RA, It reflects an ongoing effort at the laboratory to build embedded learning mechanisms in machine translation systems. Two types of learning are discussed, word lear(ling and word sense learning. Each type of learning undergoes three routine processes: detection, acquisition, and evaluation. The emphasis of this paper is on the use of semantic preference violations in the detection of the need to learn new word senses.
@inproceedings{ijcai1987p142,
title = {Interactive Vocabulary Acquisition in XTRA},
author = {Guo, Cheng-ming},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {715--716},
year = {1987},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1987/142},
}
TY - CPAPER TI - Interactive Vocabulary Acquisition in XTRA AU - Guo, Cheng-ming T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 715 EP - 716 UR - https://ijcai.org/proceedings/1987/142 ER -Copied
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