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제목: 자동번역시스템에 대하여

1235 김윤중

http://en.wikipedia.org/wiki/Statistical_machine_translation

Statistical machine translation (SMT) is a machine translation paradigm where translations are generated on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora. The statistical approach contrasts with the rule-based approaches to machine translation as well as with example-based machine translation.

http://en.wikipedia.org/wiki/Rule-based_machine_translation

Rule-based Machine Translation (RBMT; also known as “Knowledge-based Machine Translation”; “Classical Approach” of MT) is a general term that denotes machine translation systems based on linguistic information about source and target languages basically retrieved from (bilingual) dictionaries and grammars covering the main semantic, morphological, and syntactic regularities of each language respectively. Having input sentences (in some source language), an RBMT system generates them to output sentences (in some target language) on the basis of morphological, syntactic, and semantic analysis of both the source and the target languages involved in a concrete translation task.

http://en.wikipedia.org/wiki/Example-based_machine_translation

The example-based machine translation (EBMT) approach to machine translation is often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base, at run-time. It is essentially a translation by analogy and can be viewed as an implementation of case-based reasoning approach of machine learning.
Example of bilingual corpus
English Japanese
How much is that red umbrella? Ano akai kasa wa ikura desu ka.
How much is that small camera? Ano chiisai kamera wa ikura desu ka.