2012
Tagger voting forUrdu
In this paper, we focus on improving part-of-speech (POS) tagging forUrduby using existingtools and data for the language. In our experiments, we use Humayoun’s morphological …
Research Papers
Google Scholar papers focused on Urdu AI, LLMs, and datasets
2012
Experiments on dependency parsing ofUrdu
… , which causes the data sparsity problems in a number ofnaturallanguageprocessingapplications including parsing. InUrduthe coverage of a previously unseen text is very less to the …
2012
A hybrid approach forurdusentence boundary disambiguation.
… a text document forNaturalLanguageProcessingtasks, eg, machine translation, POStagging, text summarization and etc. We present a hybrid approach forUrdusentence boundary …
2012
Urdupart of speech tagging using transformation based error driven learning
… inNLPmostly …Urdulanguage, which is different from English regarding syntax andmorphology. The rest of the study is organized as follows: In section 2 gives a brief overview ofUrdu…
2012
AnalyzingUrdusocial media for sentiments using transfer learning with controlled translations
…NLPfeatures or annotated data. But, data in blogs and discussion forums especially writtenin a language likeUrdu… lack of predefined standards to representUrdudata in Latin script. …
2012
Identifyingurducomplex predication via bigram extraction
… parsing approaches to South Asian languages likeUrdu/Hindi is the proper treatment ofcomplex predications. Problems for theNLPof complex predications are posed by their …
2012
A light weight stemmer forUrdulanguage: a scarce resourced language
… challenges toNaturalLanguageProcessing(NLP) largely due …Urdu, developing its stemmerfor an IR system is a challenging task. This paper presents a light weight stemmer forUrdu…
2012
Named entity recognition system forUrdu
… tasks ofNaturalLanguageProcessing(NLP) and in many commercial applications on internetlike Search Engine. Accuracy of NER system is directly reflected inNLPapplications. So, …
2012
AnNLPframework for non-topical text analysis inUrdu–A resource poor language
… The tasks of interest inUrduNLPinclude analyzing data sources such as blogs and … arobustNLPsystem. The first objective of this work is to develop anNLPinfrastructure forUrduthat …
2012
I'm anUrduguy: Exploring the literacy lives of young multilingual children at home and at school
I'm anUrduguy: Exploring the literacy lives of young multilingual children at home and at …All rights are reserved, including those for text and data mining,AItraining, and similar …
2012
A rule-based model for normalization of sms text
… on messages written in RomanizedUrduand English.Urduin contrast to English is a … fora given root form, while RomanizedUrduis a way of writingUrduin Latin script which does not …
2012
N-gram and gazetteer list based named entity recognition forurdu: A scarce resourced language
…Urdulanguage processing, including lack of standardUrducorpus and incompatibility issuesof NLP tools forUrdu… In this work NER forUrdutext has been implemented using unigram …