تناقش هذه الورقة المهمة المشتركة لمصطلحات WMT 2021 من منظور "Meta".نقدم نتائج تجاربنا باستخدام مجموعة بيانات المصطلحات و OpenNMT (Klein et al.، 2017) و Joeynmt (Kreutzer et al.، 2019) Toolkits لاتجاه اللغة الإنجليزية إلى الفرنسية.تجربتنا 1 يقارن تنبؤات مجموعة الأدوات.تستخدم التجربة 2 OpenNMT لضبط النموذج.نبلغ عن نتائجنا للحصول على المهمة مع البرنامج النصي التقييم ولكن في الغالب مناقشة الخصائص اللغوية لمجموعة بيانات المصطلحات المقدمة للمهمة.نحن نقدم دليلا على أهمية أنواع الأنواع النصية عبر الدرجات، بعد أن تم تكرار البرامج النصية للتقييم.
This paper discusses the WMT 2021 terminology shared task from a meta'' perspective. We present the results of our experiments using the terminology dataset and the OpenNMT (Klein et al., 2017) and JoeyNMT (Kreutzer et al., 2019) toolkits for the language direction English to French. Our experiment 1 compares the predictions of the two toolkits. Experiment 2 uses OpenNMT to fine-tune the model. We report our results for the task with the evaluation script but mostly discuss the linguistic properties of the terminology dataset provided for the task. We provide evidence of the importance of text genres across scores, having replicated the evaluation scripts.
References used
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