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English-Lithuanian-English Lexicon Database Management System for MT Gintaras Barisevicius and Elvinas Cernys Kaunas University of Technology, Department of Software Engineering Singleton Labs.
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2 Situation in Lithuania
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3 General electronic dictionaries http://www.fotonija.lt; http://www.led.lt http://www.fotonija.lthttp://www.led.lt Morphological analysis tools Text corpora (100 mln. words) http://donelaitis.vdu.lt Speech recognition systems Machine translation research
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4 Previous dictionary Open to the user dictionary Rigid dictionary structure Lack of attributes Not all parts of speech included Indexed files for dictionary storage Polysemy not included Phrases not included
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5 Requirement to new system Open to the user dictionary Easy management of the attributes All parts of speech Big volume storage Solution to polysemy and synonyms
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6 Project size
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7 Current system Orientated to MT More attributes, easy to extend All parts of speech included Database for dictionary storage Polysemous words, domains Automatic generation of morphological forms System can work on various OS.
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8 Development process From C++ to Java Rational Rose tool CVS for version control management MySql database
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9 Adding new languages
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10 System deployment localy
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11 System deployment online
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12 Future ambitions Phrases Text corpora Syntax rule realization Additional features Possible other translation choices WEB translation Video subtitle translation
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13 Text corpora usage in MT The pen is on the table. PEN TABLE RASIKLIS STALAS LENTELE Look usage with RASIKLIS RASIKLIS usage with STALAS is more often!
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14 Conclusions Thorough analysis of Lithuanian and English language conducted Additional features to the dictionary have to be added (phrases, syntax rules) Filling the dictionary can be started Machine translation is underway
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15 Thank you for your attention. Gintaras Barisevicius gintaras.barisevicius@stud.ktu.lt gintaras.barisevicius@singleton-labs.lt
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