Structural Analysis of Cooking Recipe Texts - Based on Kimchi Jjigae Recipe -
2017
Choi, J., Woosong University, Daejeon, Republic of Korea | Han, G., Honam University, Gwangju, Republic of Korea
This study compared and analyzed the structures of cooking recipes in order to identify the overall cooking method and develop an efficient method for analyzing cooking recipes. We present procedural texts using a flow graph, which can be referred to as a recipe tree, to represent cooking recipes and the database. A total of 110 kimchi jjigae recipes were identified and classified as 'portion', 'kinds of ingredients', and 'number of cooking deployment'. Recipes for two persons were the most common (43.6%), and 7-13 kinds of ingredients accounted for 50% of kimchi jjigae recipes. Kimchi presented the highest frequency at 78 cases, and pork showed the high frequency at 30 cases. To identify cooking deployment, step 6 was the highest, followed by step 5 (17.3%), step 7 (17.3%), step 4 (11.8%), and step 3 (9.1%). When analyzing the frequency of the relationship between ingredients and action in a recipe expression, Food (F) and Action by the chef (Ac) showed the highest rates at 11.29 and 12.30, respectively, in the cooking process. For frequencies of dependency relation expression in recipes, d-obj (direct object) was the highest at 13.56. The proposed method provides users more efficient and easier access to recipes suitable for their cooking skills.
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