Multi-Task Learning by using Contextualized Word Representations for Syntactic Parsing of a Morphologically Rich Language

T1Covered by 1 source · first reported by arXiv at 25 Sept, 04:00 UTC

arXiv:2609.29855v1 Announce Type: cross Abstract: We address the challenge of syntactic parsing for Urdu, a morphologically rich language, and present state-of-the-art results for both constituency and dependency parsing. This paper offers four major contributions: 1) the conversion of the CLE-UTB…

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• T1Multi-Task Learning by using Contextualized Word Representations for Syntactic Parsing of a Morphologically Rich LanguagearXiv25 Sept, 04:00