TY - JOUR ID - 66652 TI - Preposition sense disambiguation in Persian using semantic frames JO - Language Research JA - JOLR LA - en SN - 1026-2288 AU - Mozaffari, Zahra AU - Taki, giti AU - Sabbagh Jaffari, Mojtaba AU - Yusefian, Pakzad AD - Ph.D Candidate in General Linguistics University of Sistan and Baluchestan AD - Assistant professor of English Language & Literature Department, University of Sistan and AD - Assistant professor of Computer engineering Department, Vali -e- Asr University of Rafsanjan AD - Assistant professor of English Language & Literature Department, University of Sistan and Baluchestan Y1 - 2018 PY - 2018 VL - 9 IS - 1 SP - 99 EP - 117 KW - Computational linguistics KW - Natural language processing KW - sense disambiguation system KW - Prepositions KW - semantic frames DO - 10.22059/jolr.2018.66652 N2 - Word sense disambiguation is one of the important challenges in natural language processing (NLP) and computational linguistics. However, preposition sense disambiguation especially, in Persian has been neglected. Therefore, the present study seeks to define an algorithm based on semantic frames to disambiguate the prepositions; «az», «dar», «ba» and «ta» in Persian. The algorithm and its implementation are new in this project. The data includes 1000 sentences as a training corpus, 100 sentences as a developing data and 500 sentences as a test data collected from internet sources and social networks such as YouTube. The mentioned prepositions were sense annotated. Semantic frames based on frame-based language (Minsky, 1975) were constructed for the mentioned prepositions in the training corpus and for the words before and after the prepositions included in the entries as a data file. The algorithm in three paths based on the information in the frames assigns a meaning to the prepositions in the sentences. The results indicated the high precision (99.16%) of the system in disambiguating the prepositions in Persian. UR - https://jolr.ut.ac.ir/article_66652.html L1 - https://jolr.ut.ac.ir/article_66652_90c790116a85e171ed6a6637cb90e7d8.pdf ER -