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In this work, chunking is used to mark the noun phrases of Urdu sentences. The approach used in this work is hybrid that combines statistical method and hand crafted rules. The statistical model used in this work is HMM along with IOB chunk annotation. From a POS tagged corpus of 100,000 words, around 90,000 word tokens are used for training and 10,000 word tokens for testing. Several experiments...
Extraction of noun phrase (NP) from text is useful for many natural language processing applications, such as name entity recognition, indexing, searching, parsing etc. We present a noun phrase chunker for Urdu which is based on a statistical approach. A 100,000 words Urdu corpus is manually tagged with NP chunk tags. The corpus is used to develop a statistical approach. Initially, a statistical approach...
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