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The Republic of Armenia has traditionally had a solid culture of preserving written heritage. However, in the last few decades, due to various geopolitical circumstances, we have lagged behind the global advancement of digitization, information, and communication technologies in terms of natural language processing for the Armenian language, access to the expanding opportunities of systematising and utilising the collated enormous amount of literature. This paper presents the current global state of natural language processing and the related methodological problems of the field in our country. The process of dataset development and consumption, from the primary stage of text digitising collected in physical databases, libraries, and archives, to the very use of the knowledge and information stored in these texts for various scientific, educational and practical purposes, requires a clear scientific-methodological program introducing not only the importance and perspectives of the field but will also ensure the conditions for its sustainable development, including the processing of written (and spoken) digitized language data and the retrieval and “industrialization” of the information and knowledge contained in the language corpora.
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Hovhannisyan et al. (2023) studied this question.
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