Papers by Mirna Adriani
Normalization of Indonesian-English Code-Mixed Twitter Data (D19-55)
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| Challenge: | Twitter is an excellent source of textual data for NLP researches, but it is noisy and often contains typos, slang terms, and non-standard abbreviations. |
| Approach: | They propose a standardization system for Indonesian-English code-mixed Twitter data that includes tokenization, language identification, lexical normalization, and translation. |
| Outcome: | The proposed standardization system is based on four modules for tokenization, language identification, lexical normalization, and translation. |