Urdu Morphology, Orthography and Lexicon Extraction

04/06/2022
by   Muhammad Humayoun, et al.
0

Urdu is a challenging language because of, first, its Perso-Arabic script and second, its morphological system having inherent grammatical forms and vocabulary of Arabic, Persian and the native languages of South Asia. This paper describes an implementation of the Urdu language as a software API, and we deal with orthography, morphology and the extraction of the lexicon. The morphology is implemented in a toolkit called Functional Morphology (Forsberg Ranta, 2004), which is based on the idea of dealing grammars as software libraries. Therefore this implementation could be reused in applications such as intelligent search of keywords, language training and infrastructure for syntax. We also present an implementation of a small part of Urdu syntax to demonstrate this reusability.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/05/2020

A Resource for Studying Chatino Verbal Morphology

We present the first resource focusing on the verbal inflectional morpho...
research
09/08/2021

A Formal Description of Sorani Kurdish Morphology

Sorani Kurdish, also known as Central Kurdish, has a complex morphology,...
research
10/12/2019

Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge

How does knowledge of one language's morphology influence learning of in...
research
09/17/2017

MERF: Morphology-based Entity and Relational Entity Extraction Framework for Arabic

Rule-based techniques and tools to extract entities and relational entit...
research
06/23/2020

Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative

There is no consensus regarding the radiomic feature terminology, the un...
research
02/07/2017

Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology

We present an unsupervised and language-agnostic method for learning roo...
research
05/30/2017

Morphological Error Detection in 3D Segmentations

Deep learning algorithms for connectomics rely upon localized classifica...

Please sign up or login with your details

Forgot password? Click here to reset