16 citations · 18 across the 2 of their papers we have counts for
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cs.CL2018★ 16 cited
Urdu Word Segmentation using Conditional Random Fields (CRFs)
Haris Bin Zia, Agha Ali Raza, Awais Athar
State-of-the-art Natural Language Processing algorithms rely heavily on efficient word segmentation. Urdu is amongst languages for which word segmentation is a complex task as it e…
cs.CL2018★ 2 cited
PronouncUR: An Urdu Pronunciation Lexicon Generator
Haris Bin Zia, Agha Ali Raza, Awais Athar
State-of-the-art speech recognition systems rely heavily on three basic components: an acoustic model, a pronunciation lexicon and a language model. To build these components, a re…