Editing Dictionary-based machine translation (section)

== Machine Translation of Very Close Languages ==
The examples of RUSLAN, a dictionary-based machine
translation system between Czech and Russian and CESILKO, a Czech – Slovak
dictionary-based machine translation system, shows that in the case of very
close languages simpler translation methods are more efficient, fast and
reliable.<ref name=":7">{{Cite book|chapter-url = http://dl.acm.org/citation.cfm?id=974149|access-date = 2 November 2015|author1=Jan HAJIC |title = Proceedings of the sixth conference on Applied natural language processing -|pages = 7–12|author2=Jan HRIC |author3=Vladislav KUBON |doi = 10.3115/974147.974149|year = 2000|chapter = Machine translation of very close languages|s2cid = 8355580}}</ref>

The RUSLAN system was made in order to prove the hypotheses
that related languages are easier to translate. The system development started
in 1985 and was terminated five years later due to lack of further funding. The
lessons taught by the RUSLAN experiment are that a transfer-based approach of
translation retains its quality regardless of how close the languages are. The
main two bottlenecks of "full-fledged transfer-based systems"<ref name=":7" /> are complexity
and unreliability of syntactic analysis.<ref>{{Cite book|url = http://dl.acm.org/citation.cfm?id=290957|pages = 55–63|access-date = 2 November 2015|publisher = Department of Information studies University of Tampere|last = Ari Pirkola| title=Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval | chapter=The effects of query structure and dictionary setups in dictionary-based cross-language information retrieval |doi = 10.1145/290941.290957|year = 1998|isbn = 978-1581130157|citeseerx = 10.1.1.20.3202|s2cid = 16199588}}</ref>