National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Suggester implementation for the OpenGrok search engine
Hornáček, Adam ; Kotal, Vladimír (advisor) ; Kofroň, Jan (referee)
The suggester functionality is an important feature of modern search engines. The aim of the thesis is to implement it for the OpenGrok project. The OpenGrok search engine is based on Apache Lucene and supports its query syntax. Presented suggester implementation supports this query syntax and provides suggestions not only for prefixes but also for wildcards, regular expressions, or phrases. The implementation also takes into account the possibility of grouping queries. That means, if one query is already specified and user is typing another query, then the first query will restrict the suggestions for the second query. The promotion of specific suggestions is based on the underlying Lucene index data structure and previous searches of the users.
Improving text-to-speech in spoken dialogue systems by employing user's feedback
Hudeček, Vojtěch ; Žabokrtský, Zdeněk (advisor) ; Peterek, Nino (referee)
Although spoken dialogue systems have greatly improved, they still cannot handle communications involving unknown topics. One of the problems is, that they experience difficulties when they should pronounce unknown words. We will investigate methods that can improve spoken dialogue systems by correcting the pronunciation of unknown words. This is a crucial step to provide a better user experience, since for example mispronounced proper nouns are highly undesirable. Incorrect pronunciation is caused by imperfect phonetic representation of the word. We aim to detect incorrectly pronounced words, use knowledge about the pronunciation and user's feedback and correct the transcriptions accordingly. Furthermore, the learned phonetic transcriptions can be added to the speech recognition module's vocabulary. Thus extracting correct pronunciations benefits both speech recognition and text-to-speech components of the dialogue systems.

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