Automatické zjednodušování textů pro překlad

This thesis describes one of the areas where automatic simpli fication can be used: simpli cation of texts for machine translation. We start by comparing methods of automatic simpli cation and controlled language, describing their similarities and di erences. Further on we focus only on automatic simpli cation used as a preprocessing step for machine translation. We describe what issues can be solved and address some of them using our own system ASOFT. A text preprocessed by ASOFT is intended to be translated by a machine translation system PC Translator. We evaluate the output of the PC Translator using two automatic methods, BLEU and NIST scores, and one method of human evaluation. In the end we propose other issues that can be addressed by means of automatic simpli fication