Evaluating the Impact of Sub-word Information and Cross-lingual Word Embeddings on Mi’kmaq Language Modelling (2020.lrec-1)
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| Challenge: | Mi'kmaq is an Indigenous language spoken primarily in Eastern Canada. |
| Approach: | They consider n-gram and RNN language models for Mi'kmaq and use them to investigate their performance. |
| Outcome: | The proposed model performs better than word-level models, but does not improve over word-based models. |
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