A Comprehensive Survey on Anaphora Resolution Algorithms and Related Tasks for Hindi and other Major Indian Languages
DOI:
https://doi.org/10.22399/ijcesen.2573Keywords:
Natural Language Processing, Anaphora, Anaphora Resolution, Issues and Approaches for Hindi, Discourse, Linguistic Knowledge SourceAbstract
Recognizing the cognitive relevance and potential of improving the efficiency of several Natural Language Processing (NLP) applications, NLP researchers continuously have been striving to resolve the issue of Anaphora Resolution (AR) since long ago. Linguistic and cognitive evidence about the correct interpretation of anaphora have been studied by the researcher for a wide range of languages and computational models have been successfully built for languages having long history of research. In recent years, the issue of anaphora resolution is being addressed for low resource languages like Hindi as well, however the work reported in literature is either in nascent stages or it has been carried out with limited scope of real implementations. The goal of the current survey is to examine the anaphora resolution work that has been done for Hindi and related languages. The survey also aims to identify gaps and mechanisms for accelerating Hindi language research outcomes by utilising available technologies and customising or adapting them for the job. At first almost 450 research articles were collected on the basis of recursive searching of citations of anaphora resolution related literature published in last 20 years. Thereafter, on the basis of title and abstract analysis, 145 relevant articles were filtered and selected for study. Finally according to their work purpose were categorised into four categories; (i) previous survey, (ii) case study (iii) proposals for AR (iv) other related work.This research article provided (i) an elaborative and systematic review of research-works carried out so far in the field of AR for major Indian languages in general and for Hindi in particular, (ii) illustrated the use of linguistic knowledge sources in AR, (iii) study and analyzed 18 different prominent algorithms developed so far for AR in Hindi with four aspects: primary focus, approach, strengths and weaknesses, efficiency measure.Conclusion: This paper presented a survey of anaphora resolution related research work carried out for Hindi and closely related languages and a comparative analysis of AR algorithms developed so far for Hindi with four key aspects. At last, on the basis of study and analysis, some research gaps also have been listed.
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