Analysis of Experiments on Statistical and Neural Parsing for a Morphologically Rich and Free Word Order Language Urdu

Analysis of Experiments on Statistical and Neural Parsing for a Morphologically Rich and Free Word Order Language Urdu

This article presents an analysis of experiments with statistical and neural parsing techniques for Urdu, a widely spoken South Asian language. We demonstrate state of the art constituency parsing results for an Urdu treebank. Urdu is a morphologically rich and is characterized by free word order. L...

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Bibliographic Details
Main Authors: Toqeer Ehsan, Sarmad Hussain
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Urdu
treebank
statistical parsing
morphological-richness
free word-order
Online Access:https://ieeexplore.ieee.org/document/8884086/

Internet

https://ieeexplore.ieee.org/document/8884086/

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