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Evaluation of SMT translation systems (Google translate, Bing) from Italian to Czech: names of trees
MAKOVCOVÁ, Veronika
The topic of this thesis is an evaluation of SMT translation systems Google Translate and Bing from Italian to Czech: names of trees. In the first part the field of computational linguistics is briefly presented. Then the machine translation is summarized in general and historically and classified by various points of view. Its two most important approaches, rule-based and statistical, are also described. Two online translators, Google Translate and Bing, which use the statistical approach are presented as well. The practical part evaluates results provided by the two translators while translating names of trees from Italian to Czech according to selected criteria.
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Evaluation of SMT translation systems (Google translate, Bing) from French to Czech: collocations related to "Food safety"
ŠVARCOVÁ, Zora
The aim of this bachelor thesis is to test and evaluate the translation quality of selected terminological collocations related to "food safety" using free available translators (Microsoft Bing Translator, Google Translate). The work is divided into two parts theoretical and practical. Theoretical part is divided into several chapters, which focus on the development, history and use of statistical machine translation, the basic strategies of machine translation systems (rule-based machine translation, statistical machine translation, hybrid machine translation and computer-aided translation). Furthermore, the first part deals with the history and characteristic of two online translators Microsoft Bing Translator and Google Translate. Finally, there is a brief description of the term "collocation ". Practical part is focused on the evaluation of translations of selected collations, whose quality is evaluated by comparison with the available terminology databases (IATE).
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Evaluation of SMT translation systems (Google translate, Bing) from French to Czech: collocations related to "banking"
SEKALOVÁ, Tereza
The aim of this bachelor´s thesis is to test and evaluate the translation quality of selected terminological collocations in the area of "banking" using freely available translators (Google Translate, Bing Translator). The thesis consists of the necessary theoretical knowledge of machine translation and translation evaluation. The theoretical knowledge includes historical development of machine translation, translation types (rule-based machine translation, statistical machine translation, a hybrid machine translation and computer aided translation) and approaches some basic information about Google Translate and Microsoft Bing Translator. The evaluation of the translations was done by analysing machine-translated collocations and their subsequent comparison with the available terminology databases (esp. IATE) and with specialized dictionaries.
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