An empirical method for identifying and translating technical terminology
Sayori Shimohata · 2000
This paper describes a method for retrieving patterns of words and expressions frequently used in a specific domain and building a dictionary for machine translation (MT). The method uses an untagged text corpus in retrieving word sequences and simplified part-of-speech templates in identifying their syntactic categories. The paper presents experimental results for applying the words and expressions to a pattern-based machine translation system.