Papers with parsing of interlinear glossed text

1 papers
Automated Parsing of Interlinear Glossed Text from Page Images of Grammatical Descriptions (2020.lrec-1)

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Challenge: linguistic typology is a subfield of linguistics which studies the design features of human language and the distribution of such features across the languages of the world.
Approach: They propose to parse interlinear glossed text from scanned grammars to make them machinereadable.
Outcome: The proposed technology achieves high precision and recall in the identification of examples sentences in IGT format.

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