Olga Bezhanova


1999

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The PARS family of MT systems : a 15-year love story
Michael S. Blekhman | Olga Bezhanova | Andrei Kursin | Alia Rakova
Proceedings of Machine Translation Summit VII

The paper shows the history of developing the PARS family of commercial machine translation systems for Russian, Ukrainian, English, and German, developed by Lingvistica '98 Inc. It discusses three aspects: retrospective, technological, and linguistic The main focus is on dictionary updating as one of the most important components of a commercial MT product. Each of the PARS systems features a unique tagging option, which makes it possible for the user to have grammatical data assigned automatically to Russian and Ukrainian words entered into the dictionaries. Besides, PARS dictionary officers make use of the batch-mode tagging technology, due to which PARS features very large bidirectional Russian-English general and specialist dictionaries of more than 1,000,000 translations for each translation direction, as well as large bidirectional Ukrainian-English professional dictionaries. The PARS family was designed in the mid 1980s, and it has been and is now in commercial use since 1989 all over the world.

1997

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Translating Scientific Texts using MT and MAT Ssytems: Practical Experience of a Professional Translator
Olga Bezhanova
Proceedings of Machine Translation Summit VI: Papers

The paper describes practical experience of a professional translator. The task consisted in translating 400 pages of Russian scientific materials (covering all fundamental sciences) into English within a month. The job was fulfilled using three computer-based systems: PARS, a Russian-English bidirectional machine translation system by Lingvistica '93 Co., Polyglossum, dictionary-support software by ETS Ltd., and the Random House electronic dictionary of the English language. The paper analyzes the pluses and minuses of translating scientific texts using computer programs, and gives numerous examples of translations. The main conclusion is that machine translation has no reasonable alternative when a large volume of scientific texts is to be translated professionally within a short period of time.