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A system for recognition of online handwritten characters has been presented for Indian writing systems. A handwritten character is represented as a sequence of strokes whose features are extracted and classified. Support vector machines have been used for constructing the stroke recognition engine. The results have been presented after testing the system on Devanagari and Telugu scripts.

Keywords: Online Handwritten Character Recognition, Stroke, Support Vector Machine


Added on June 13, 2017

176

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  • Contributed by : Consortium
  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : H.Swethalakshmi

Under the Indian Languages Corpora Initiative phase –II (ILCI Phase-II) project, initiated by the MeitY, Govt. of India, Jawaharlal Nehru University, New Delhi had collected monolingual corpus in Hindi. This is the final outcome of the project and there are approx. 36,000 sentences of general domain. The translated sentences have been POS tagged according to BIS (Bureau of Indian Standards) tagset. This corpus has following features: unique ID, UTF-8 encoding, and text file format.

Added on June 1, 2017

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33

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  • Contributed by : ILCI- II, JNU
  • Product Type : Text Corpora
  • License Type : Research
  • System Requirement : Not Applicable

Under the Indian Languages Corpora Initiative phase –II (ILCI Phase-II) project, initiated by the MeitY, Govt. of India, Jawaharlal Nehru University, New Delhi had collected monolingual corpus in Urdu. This is the final outcome of the project and there are approx. 30,000 sentences of general domain. The translated sentences have been POS tagged according to BIS (Bureau of Indian Standards) tagset. This corpus has following features: unique ID, UTF-8 encoding, and text file format.

Added on May 31, 2017

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6

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  • Contributed by : ILCI- II, JNU
  • Product Type : Text Corpora
  • License Type : Research
  • System Requirement : Not Applicable

Under the Indian Languages Corpora Initiative phase –II (ILCI Phase-II) project, initiated by the MeitY, Govt. of India, Jawaharlal Nehru University, New Delhi had collected monolingual corpus in Telugu. This is the final outcome of the project and there are approx. 32,000 sentences of general domain. The translated sentences have been POS tagged according to BIS (Bureau of Indian Standards) tagset. This corpus has following features: unique ID, UTF-8 encoding, and text file format.mat.

Added on May 31, 2017

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14

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  • Contributed by : ILCI- II, JNU
  • Product Type : Linguistic Resources
  • License Type : Research
  • System Requirement : Not Applicable

Under the Indian Languages Corpora Initiative phase –II (ILCI Phase-II) project, initiated by the MeitY, Govt. of India, Jawaharlal Nehru University, New Delhi had collected monolingual corpus in Tamil. This is the final outcome of the project and there are approx. 30,000 sentences of general domain. The translated sentences have been POS tagged according to BIS (Bureau of Indian Standards) tagset. This corpus has following features: unique ID, UTF-8 encoding, and text file format.

Added on May 31, 2017

0
13

  More Details
  • Contributed by : ILCI- II, JNU
  • Product Type : Text Corpora
  • License Type : Research
  • System Requirement : Not Applicable