Zong-You Ke


2021

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The SPECTRANS System Description for the WMT21 Terminology Task
Nicolas Ballier | Dahn Cho | Bilal Faye | Zong-You Ke | Hanna Martikainen | Mojca Pecman | Guillaume Wisniewski | Jean-Baptiste Yunès | Lichao Zhu | Maria Zimina-Poirot
Proceedings of the Sixth Conference on Machine Translation

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.