Michel Ferreira dos Reis
2022
An automatic model and Gold Standard for translation alignment of Ancient Greek
Tariq Yousef
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Chiara Palladino
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Farnoosh Shamsian
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Anise d’Orange Ferreira
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Michel Ferreira dos Reis
Proceedings of the Thirteenth Language Resources and Evaluation Conference
This paper illustrates a workflow for developing and evaluating automatic translation alignment models for Ancient Greek. We designed an annotation Style Guide and a gold standard for the alignment of Ancient Greek-English and Ancient Greek-Portuguese, measured inter-annotator agreement and used the resulting dataset to evaluate the performance of various translation alignment models. We proposed a fine-tuning strategy that employs unsupervised training with mono- and bilingual texts and supervised training using manually aligned sentences. The results indicate that the fine-tuned model based on XLM-Roberta is superior in performance, and it achieved good results on language pairs that were not part of the training data.