Bachelor's Thesis “Multilingual Extraction of Quotes from News Articles” presents different approaches to extraction of quotations from news articles in different languages. This thesis describes the process of quotation extraction from news articles written in multiple languages with the existing problems which arise during that process (detecting and extracting the content of the quote, speaker and verb-cue attribution). It also demonstrates different approaches to coreference resolution, which is a frequent occurrence in texts which are in the news domain. A description of systems and tools used to extract all types of quotes from cca. 10 languages is given. This works aims to give an overview of specific problems which can be arise during this process and compare some of the potential solutions. In the end, the first step in building a system which would extract quotes, annotating quotations by hand, is described. The annotation encompasses tagging the content of the quote and its span, tagging the speaker (or the original speaker, in the occurrence of aliases and pronouns), as well as tagging the verb-cue. Along with the process description, a description of the problems which were encountered during the annotation is given.