On Mono- and Multilingual Word embeddings for NLP

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On Mono- and Multilingual Word embeddings for NLP

Verteidigung Studienarbeit von Anatoly Zelenin
A fundamental problem of Natural Language Processing is to find a good numerical representation of words to be used in further processing steps. We present different recent mono- and bilingual approaches to map words into vector spaces. Knowing them we focus on issues of existing Multilingual approaches and discuss how to improve them further to build the foundation for systems analyzing Social Media posts from all over the world.