Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets (P18-3)
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| Challenge: | Named Entity Recognition (NER) is an important text analysis task . code-mixing occurs when lexical items and grammatical features from two languages appear in one sentence . |
| Approach: | They propose to use language identifiers, parts-of-speech tags and chunkers to analyze code-mixed data. |
| Outcome: | The proposed method outperforms the best baseline by 33.18%. |
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| Challenge: | Named Entity Recognition (NER) is a process of identifying named entities in unstructured texts and classifying them through specific semantic categories. |
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