Papers with Code-Switching

3 papers
LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation (2020.lrec-1)

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Challenge: Recent trends in NLP research have raised an interest in linguistic code-switching . however, many of these approaches are limited to a few language pairs and a specific domain .
Approach: They propose a centralized benchmark for Linguistic Code-switching Evaluation that combines eleven corpora covering four different code-switch languages and four tasks.
Outcome: The proposed benchmark provides a centralized benchmark and compares with other benchmarks in real-time.
Arabic Dialect Identification in the Context of Bivalency and Code-Switching (L18-1)

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Challenge: Existing methods for identifying Arabic dialects require significant amounts of annotated training data which is costly and time consuming to produce.
Approach: They propose a novel approach to Arabic dialect identification using language bivalency and written code-switching to identify Arabic dialects.
Outcome: The proposed method can reach more than 76% and score well (66%) when tested on unseen data.
Automatic Identification of Maghreb Dialects Using a Dictionary-Based Approach (L18-1)

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Challenge: Automatic identification of Arabic dialects in texts is difficult, especially for Maghreb languages and when they are written in Arabic or Latin characters (Arabizi).
Approach: They propose a dictionary-based approach to detect Arabic dialects in texts . they focus on transliteration of Arabicizi into Latin script and code-switching .
Outcome: The proposed approach shows that it is possible to detect dialects in Arabic and Latin scripts.

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