Abstract
Vocabulary acquisition constitutes a crucial but difficult and time consuming step of learning a foreign language. There exist several teaching methods which aim to facilitate this step by providing learners with various verbal and visual tips. However, building systems based on these methods is generally very costly since it requires so many resources such as time, money and human labour. In this paper, we introduce a fully automatised vocabulary teaching system which uses state of the art natural language processing (NLP) and information retrieval (IR) techniques. For each foreign word the user is willing to learn, the system is capable of automatically producing memorisation tips including keywords, sentences, colours, textual animations and images. Our preliminary results are very promising and they highlight a new perspective for vocabulary learning systems which is worth to be further explored.
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