Design and Implementation of Anaphora Resolution in P unjabi Language (2020)

Abstract: Natural Language Processing (NLP) is the most attention-grabbing field of artificial intelligence. It focuses on the interaction between humans and computers. Through NLP we can make thec omputers recognize, decode and deduce the meaning ofhuman dialect splendidly. But there are numerous difficulties that are experienced in NLP and, Anaphora is one such issue. Anaphora emerges often in composed writings and oral talk. Anaphora Resolution is the process of finding antecedent of corresponding referent and is required in different applications of NLP.Appreciable works have been accounted for anaphora in English and different languages, but no work has been done in Punjabi Language. Through this paper we are enumerating the introduction of Anaphora Resolution in Punjabi language. The accuracy achieved for the system is 47%.

## introduction humans have an incredible capability to interact or communicate with one another. language acts as a powerful medium for this communication. it helps people to express their thoughts using different words but it is quite complex. complexity of the language can be reflected from the fact that same thing can be narrated in a different no. of ways and a sentence can be interpreted by various people in distinct ways. a crucial element of the language is the occurrence of the reference which is the process of using language representation to select an "entity" in the real world. the "entity" can be an object in the physical world or a concept in our mind. the linguistic symbol is termed as "referring expression". the issue of reference is the problem of establishing a relationship between different parts of discourse to understand the content which is of great importance for a computational linguistic. the importance of the problem of reference can be understood from its real time applications in nlp which are -question answering/information extraction, automatic summarization, and machine translation as represented in @xcite . anaphora resolution is one of the most sophisticated and complicated problem in modern language processing. the problem of research work is to put focus on punjabi language in contrast of anaphora resolution and have fine understanding of the interaction between the syntax and semantics of the language. there are various types of anaphora but pronouns as anaphora are more frequently encountered. so, focus will be on resolving anaphors that act as pronouns. ## main components of anaphora resolution system the main components of anaphora resolution system are: ## results presently, the system has been checked on a single file having 238 pronouns. the classifier used is naïve bayes classifier. efficiency of the system is measured using recall and f score. recall:0.46 ,f-score: 0.63 overall accuracy: 47% similar results were found during initial work in hindi language also.