A bird’s-eye view on South Asian languages through LSI

Autor: Anju Saxena, Shafqat Mumtaz Virk, Bernard Comrie, Lars Borin

Publikováno v: Journal of South Asian Languages and Linguistics. 7:203-237

We present initial exploratory work on illuminating the long-standing question of areal versus genealogical connections in South Asia using computational data visualization tools. With respect to genealogy, we focus on the subclassification of Indo-A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce5f5989888effe29bcab51e9cd91326
https://doi.org/10.1515/jsall-2021-2034

A Supervised Machine Learning Approach for Post-OCR Error Detection for Historical Text

Autor: Shafqat Mumtaz Virk, Dana Dannélls

Publikováno v: Linköping Electronic Conference Proceedings.

Training machine learning models with high accuracy requires careful feature engineering, which involves finding the best feature combinations and extracting their values from the data. The task becomes extremely laborious for specific problems such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5773ea30c88ddc61ae9cf68f74062c16
https://doi.org/10.3384/ecp184170

A Data-Driven Semi-Automatic Framenet Development Methodology

Autor: Lars Borin, Dana Dannélls, Shafqat Mumtaz Virk, Markus Forsberg

Publikováno v: RANLP

FrameNet is a lexical semantic resource based on the linguistic theory of frame semantics. A number of framenet development strategies have been reported previously and all of them involve exploration of corpora and a fair amount of manual work. Desp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::94a5d2a073dc2f560de91570219b76ef
https://doi.org/10.26615/978-954-452-072-4_165

Poor Man's OCR Post-Correction

Autor: Markus Forsberg, Shafqat Mumtaz Virk, Harald Hammarström

Publikováno v: DATeCH

The accuracy of Optical Character Recognition (OCR) is sets the limit for the success of subsequent applications used in text analyzing pipeline. Recent models of OCR postprocessing significantly improve the quality of OCR-generated text but require

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2e53ca1cfed52410778e0dd1b8d35375
https://doi.org/10.1145/3078081.3078107

A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet

Autor: Shafqat Mumtaz Virk, Philippe Muller, Juliette Conrath

Publikováno v: Proceedings of COLING 2016
26th International Conference on Computational Linguistics (COLING 2016)
26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp. 3542-3552
HAL

International audience; Frame semantics is a theory of linguistic meanings, and is considered to be a useful framework for shallow semantic analysis of natural language. FrameNet, which is based on frame semantics, is a popular lexical semantic resou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c9ad8707a910a1108ed26d071b755332
https://oatao.univ-toulouse.fr/18831/