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To automatically create morphological paradigms from interlinear glosses, researchers have created tables for every stem in the gloss and a (possibly empty) slot for every grammatical category (e.g., ERG) in the gloss. Researchers have used interlinear glosses is to obtain the morphological paradigms of the object language (i.e., the language being glossed).
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Given the morpheme segmented line (first line above) and the free translation line (third line above), the task is to produce the middle glossed line comprising stem translations (e.g., mi: you) and the grammatical category labels corresponding to affixes (e.g., a: ERG.1.PL). Natural Language Processing systems, for example, have been developed to automatically produce interlinear glosses.: Natural Language Processing models leveraging interlinear gloss resources, such as the Online Database of Interlinear Text, have been developed.
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The language distribution of interlinear gloss instances in Online Database of Interlinear Text after phase 1 and (phase 2)Īutomatic processing of interlinear gloss instances The creators then verified the language names and language codes in a second and third pass over the data, respectively.
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In the manual correction phase, the database creators manually corrected the boundaries of the interlinear gloss instances discovered by the sequence-labelling method in Step 2 of the automatic construction phase. Language names and IDs were automatically assigned to interlinear glosses using Coreference Resolution models from Natural Language Processing, where the interlinear gloss instance was tagged with the language name (and ID) that appears in the scholarly document the interlinear gloss instance was extracted from.
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Second, each line in an extracted document was tagged for whether it was a line belonging to an interlinear gloss or not using sequence-labeling methods from Machine Learning.The queries comprised terms relevant to linguistic research such as grammatical morphemes (e.g., "NOM"-shorthand for nominative "3SG"-shorthand for 3rd person singular).
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