Papers with language specific morphological and syntactic features

1 papers
Multi-lingual Mathematical Word Problem Generation using Long Short Term Memory Networks with Enhanced Input Features (2020.lrec-1)

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Challenge: Existing methods for multi-lingual MWP generation are incapable of identifying language specific constraints, especially in morphologically rich yet low resource languages such as Sinhala and Tamil.
Approach: They propose to use a long-term memory network to generate elementary level MWPs by adding character embeddings, word embedds and Part of Speech (POS) tag embeddements to the network.
Outcome: The proposed model generates elementary level MWPs while satisfying language specific constraints while providing attention for numerical values and units.

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