Research Article
Identification of Code-Switched Sentences and Words Using Language Modeling Approaches
Table 3
Results of code-switched word identification in Mandarin-Taiwanese code-switched sentences.
| Methods | Recall | Precision | -measure |
| Random | Top 1 | 17.65% | 18.32% | 17.98% | Top 2 | 31.62% | 16.41% | 21.61% | Top 3 | 49.26% | 17.05% | 25.33% |
| Word bigram | Top 1 | 40.46% | 41.73% | 41.09% | Top 2 | 60.31% | 31.85% | 41.69% | Top 3 | 74.81% | 27.53% | 40.25% |
| Word trigram | Top 1 | 14.50% | 15.83% | 15.14% | Top 2 | 35.88% | 20.35% | 25.97% | Top 3 | 55.73% | 22.53% | 32.09% |
| POS bigram | Top 1 | 42.75% | 43.08% | 42.91% | Top 2 | 67.94% | 35.18% | 46.35% | Top 3 | 82.44% | 29.35% | 43.29% |
| POS trigram | Top 1 | 52.67% | 53.49% | 53.08% | Top 2 | 73.28% | 39.34% | 51.20% | Top 3 | 83.97% | 31.98% | 46.32% |
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