Persian Address Geocoding: an LALR Parsing and Dynamic Programming Approach | ||
| Journal of AI and Data Mining | ||
| دوره 11، شماره 2، تیر 2023، صفحه 291-302 اصل مقاله (1.57 M) | ||
| نوع مقاله: Applied Article | ||
| شناسه دیجیتال (DOI): 10.22044/jadm.2023.12493.2399 | ||
| نویسندگان | ||
| A.R. Mazochi1؛ S. Bourbour2؛ M. R. Ghofrani1؛ S. Momtazi* 1 | ||
| 1Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran. | ||
| 2Tehran Center for Urban Statistics and Observatory, Tehran, Iran. | ||
| چکیده | ||
| Converting a postal address to a coordinate, geocoding, is a helpful tool in many applications. Developing a geocoder tool is a difficult task if this tool relates to a developing country that does not follow a standard addressing format. The lack of complete reference data and non-persistency of names are the main challenges besides the common natural language process challenges. In this paper, we propose a geocoder for Persian addresses. To the best of our knowledge, our system, TehranGeocode, is the first geocoder for this language. Considering the non-standard structure of Persian addresses, we need to split the address into small segments, find each segment in the reference dataset, and connect them to find the target of the address. We develop our system based on address parsing and dynamic programming for this aim. We specify the contribution of our work compared to similar studies. We discuss the main components of the program, its data, and its results and show that the proposed framework achieves promising results in the field by finding 83\% of addresses with less than 300 meters error. | ||
| کلیدواژهها | ||
| Geocoding؛ Persian Address؛ Natural Language Processing؛ Address Parsing؛ Viterbi | ||
| مراجع | ||
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