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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | De, S. Dhar, A. Biswas, S. Garain, U. |
| Copyright Year | 2011 |
| Abstract | A rule based Local Word Grouper (LWG) or Chunker has been attempted and applied to Bangla. The Chunker has been evaluated with PARSEVAL method [1]. The paper describes implementation of the Chunker as well as the evaluation method in detail. The evaluation shows a precision value of 95.05%, recall value of 94.33% and f-score value of 94.62 which are up to the standard. The results also show a substantial improvement when comparing with some of the recently published works. |
| Starting Page | 321 |
| Ending Page | 324 |
| File Size | 484169 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424496839 |
| DOI | 10.1109/EAIT.2011.48 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-02-19 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Gold Accuracy Local Word Grouper Rule Based Chunker Morphology Artificial neural networks Machine learning Tagging Speech Chunker in Bangla Evaluation of Chunker .PARSEVAL method |
| Content Type | Text |
| Resource Type | Article |
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