Title :
Urdu Morphological Guesser (UMG), An Overview
Author :
Hussain, Sara ; Kaleem, Kashif M. ; Akhtar, Fahad ; Ali, Qasim ; Amin, Shahzad
Author_Institution :
FAST, NUCES
Abstract :
Analysis of morphology of Urdu is a preliminary task to several NLP tasks. Since it is impractical to maintain updated lexicons due to coinage of new words morphological guessing is also used. However guessing depends entirely on affixes and a lot of undesired answers emerge. Our system Urdu morphological guesser (UMG) uses morphological guessing on Urdu while utilizing ranking and clues to refine and improve the guesses. It covers open class words and enables guessing of part of speech, number, gender, causation, cases and language of origin
Keywords :
computational linguistics; natural languages; Urdu morphological guesser; lexicon; natural language processing; Computational linguistics; Computer architecture; Data mining; Decision trees; Failure analysis; Morphology; Natural languages; Speech; Transducers; Vocabulary; Finite state transducer; Interdigitation; Morphological Guesser; Urdu Morphology; concatenative morphology;
Conference_Titel :
9th International Multitopic Conference, IEEE INMIC 2005
Conference_Location :
Karachi
Print_ISBN :
0-7803-9429-1
Electronic_ISBN :
0-7803-9430-5
DOI :
10.1109/INMIC.2005.334499
