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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

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ÇѱÛÁ¦¸ñ(Korean Title) An Artificial Intelligence Approach for Word Semantic Similarity Measure of Hindi Language
¿µ¹®Á¦¸ñ(English Title) An Artificial Intelligence Approach for Word Semantic Similarity Measure of Hindi Language
ÀúÀÚ(Author) Fangfang Gu   Keshen Jiang   Fangdong Cao   Farah Younas   Jumana Nadir   Muhammad Usman   Muhammad Attique Khan   Sajid Ali Khan   Seifedine Kadry   Yunyoung Nam  
¿ø¹®¼ö·Ïó(Citation) VOL 15 NO. 06 PP. 2049 ~ 2068 (2021. 06)
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(Korean Abstract)
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(English Abstract)
AI combined with NLP techniques has promoted the use of Virtual Assistants and have made people rely on them for many diverse uses. Conversational Agents are the most promising technique that assists computer users through their operation. An important challenge in developing Conversational Agents globally is transferring the groundbreaking expertise obtained in English to other languages. AI is making it possible to transfer this learning. There is a dire need to develop systems that understand secular languages. One such difficult language is Hindi, which is the fourth most spoken language in the world. Semantic similarity is an important part of Natural Language Processing, which involves applications such as ontology learning and information extraction, for developing conversational agents. Most of the research is concentrated on English and other European languages. This paper presents a Corpus-based word semantic similarity measure for Hindi. An experiment involving the translation of the English benchmark dataset to Hindi is performed, investigating the incorporation of the corpus, with human and machine similarity ratings. A significant correlation to the human intuition and the algorithm ratings has been calculated for analyzing the accuracy of the proposed similarity measures. The method can be adapted in various applications of word semantic similarity or module for any other language.
Å°¿öµå(Keyword) Haze Pollution   Machine Learning   Tourism Flows   Spatial Effect   Regional Heterogeneity   Artificial intelligence   word similarity   semantic nets   natural language processing   corpus   synonymy  
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