DOMAIN-SPECIFICITY PREDICTION FOR NATURAL LANGUAGE PROCESSING

A method, computer-program product and computer system are provided to determine domain-specificity of a text term. A processor receives a plurality of domain-specific text corpora, wherein each of the plurality of domain-specific text corpora comprises a plurality of text documents of a respective domain. A processor trains a set of subword-unit tokenizers with at least two different vocabulary sizes of the respective domain-specific text corpus. A processor receives the text-term. A processor determines a domain-specificity fingerprint of the text-term, wherein the domain-specificity fingerprint comprises for each subword-unit tokenizer a number of subword-units required to represent the text-term. A processor provides the domain-specificity fingerprint for determining the domain-specificity of the text term.