Abstract: A method for training a slot tagging model may, when an entity used for slot tagging is added, accurately perform slot tagging corresponding to the added entity only by adding new data to an external dictionary, without retraining, a computer-readable medium storing a program for performing the training method, a speech recognition apparatus providing a speech recognition service using the trained slot tagging model, and an electronic device used to provide the speech recognition service.

Abstract: A method of processing a natural language may include generating a grammar used for analyzing a natural language by compressing a plurality of languages including common elements so that resources and time required for recognizing a grammar of an input sentence may be reduced. The method of processing a natural language may include separating an input sentence in units of morphemes, recognizing a grammar of the input sentence separated in units of morphemes, and analyzing a meaning of the input sentence based on the recognized grammar. The recognizing of the grammar may include recognizing a grammar that matches the input sentence separated in units of morpheme from among a plurality of pre-stored grammars, and the plurality of pre-stored grammars may include at least one grammar obtained by compressing two or more grammars to which at least one element among a plurality of elements constituting a single grammar is common.