Introduction to algorithms
Target-Text Mediated Interactive Machine Translation
Machine Translation
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Automatic corpus-based Thai word extraction with the c4.5 learning algorithm
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
TransType: a computer-aided translation typing system
NAACL-ANLP-EMTS '00 Proceedings of the 2000 NAACL-ANLP Workshop on Embedded machine translation systems - Volume 5
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This paper addresses the concept in error correction of text editor. Error correction is an important feature that has been integrated in some widely used editors. It reduces time to create and modify documents efficiently. However, most error correction features employed address only some types of errors, namely misspelling, grammatical error, misuse of capitalization and de-capitalization, errors related to punctuation, and so on. This paper studies the correction of errors relating to language switching by proposing a concept that can be implemented and integrated into text editors. The concept is to construct an engine that has some learning capability. It recognizes and memorizes the key strokes entered and studies the patterns of errors that people makes. As it behaves like a learning machine, the more experience (or more errors) it encounters, the more error correction capability and precision it has. Our proposed error correction engine is a state machine that accepts typed Thai and English characters as inputs. The experimental results demonstrate this model is effective in correcting. In addition, the typing is much easier and enjoyable for Thais. This technique is expected to be able to apply to other Asian languages in the future research.