A new manually annotated English-Tamil-Sinhala parallel NER corpus of 3,835 sentences per language, with benchmarks showing XLM-R outperforms monolingual and Indic models, and a case study where NER output improves English-Sinhala NMT BLEU by about 9 points.
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A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhala
A new manually annotated English-Tamil-Sinhala parallel NER corpus of 3,835 sentences per language, with benchmarks showing XLM-R outperforms monolingual and Indic models, and a case study where NER output improves English-Sinhala NMT BLEU by about 9 points.