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@@ -15,6 +15,7 @@ cd src/
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  python3 fast_usage_example.py
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  ```
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  ## Cite us
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  @inproceedings{fedorova-etal-2025-multi,
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  title = "Multi-label {S}candinavian Language Identification ({SLIDE})",
@@ -42,4 +43,5 @@ python3 fast_usage_example.py
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  pages = "179--189",
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  ISBN = "978-9908-53-121-2",
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  abstract = "Identifying closely related languages at sentence level is difficult, in particular because it is often impossible to assign a sentence to a single language. In this paper, we focus on multi-label sentence-level Scandinavian language identification (LID) for Danish, Norwegian Bokm{\r{a}}l, Norwegian Nynorsk, and Swedish. We present the Scandinavian Language Identification and Evaluation, SLIDE, a manually curated multi-label evaluation dataset and a suite of LID models with varying speed{--}accuracy tradeoffs. We demonstrate that the ability to identify multiple languages simultaneously is necessary for any accurate LID method, and present a novel approach to training such multi-label LID models."
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- }
 
 
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  python3 fast_usage_example.py
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  ```
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+ ``
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  ## Cite us
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  @inproceedings{fedorova-etal-2025-multi,
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  title = "Multi-label {S}candinavian Language Identification ({SLIDE})",
 
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  pages = "179--189",
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  ISBN = "978-9908-53-121-2",
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  abstract = "Identifying closely related languages at sentence level is difficult, in particular because it is often impossible to assign a sentence to a single language. In this paper, we focus on multi-label sentence-level Scandinavian language identification (LID) for Danish, Norwegian Bokm{\r{a}}l, Norwegian Nynorsk, and Swedish. We present the Scandinavian Language Identification and Evaluation, SLIDE, a manually curated multi-label evaluation dataset and a suite of LID models with varying speed{--}accuracy tradeoffs. We demonstrate that the ability to identify multiple languages simultaneously is necessary for any accurate LID method, and present a novel approach to training such multi-label LID models."
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+ }
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+ ``