From Linguistic Typology to Machine Learning: Semantic Classifiers in AI Systems: A Subject Review

Semantic classifiers play an essential role in human life and language. This specific paper attempts to analyse the linguistic typology in connection to semantics classifiers as well as the practical relevance within the context of artificial intelligence, AI. These forms of classifiers are really essential; they can enable machines to work with semantic-inclined languages. The main focus here is an essential review of recent studies, specifically with regards to cognitive pedigree as well as the modelling issues, and their contributions to the field of AI, in this sense, machine translation and conversational agents. This paper thus, combines the possible evidence to highlight how semantic classifiers can bridge the linguistic framework and practical NLP usage whereas appointing towards the likely future work.