Master Thesis MSTR-2019-89

BibliographyChen, Xu: Multilingual Analysis of Food Words.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 89 (2019).
51 pages, english.

In this thesis, we will explore food cultures in British (henceforth English) and Chinese and find a mapping from word embedding space to cultural space. According to situational and embodied theories of cognition, the mental representation of words is heavily influenced by the events and situations in which the corresponding entities are experienced. More specifically, the food experience is strongly depended on our daily life. The environment varies from regions and countries, which in other words is called culture. Thus, an evaluation of food can tell us not only food information but also food-related events. Based on this assumption, we proposed an online survey of 200 different food words in English and Chinese. The collected norms capture various aspects of food that are heavily culture-specific. On the other hand, we use word embedding to predict cultural properties that are more linguistic in their nature. The experimental results can help us to answer the question of whether we can predict cultural behavior through language.

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Department(s)University of Stuttgart, Institute for Natural Language Processing
Superviser(s)Padó, Prof. Sebastian, Frasinelli, Dr. Diego
Entry dateJune 9, 2020
   Publ. Computer Science