CLAug 16, 2019

UDS--DFKI Submission to the WMT2019 Similar Language Translation Shared Task

arXiv:1908.06138v1
AI Analysis

This work addresses translation challenges for similar language pairs, but it is incremental as it applies existing methods to a specific shared task.

The paper tackled machine translation between similar languages, specifically Czech to Polish, and reported that the UDS-DFKI system achieved competitive performance, ranking second among ten teams in the WMT2019 shared task.

In this paper we present the UDS-DFKI system submitted to the Similar Language Translation shared task at WMT 2019. The first edition of this shared task featured data from three pairs of similar languages: Czech and Polish, Hindi and Nepali, and Portuguese and Spanish. Participants could choose to participate in any of these three tracks and submit system outputs in any translation direction. We report the results obtained by our system in translating from Czech to Polish and comment on the impact of out-of-domain test data in the performance of our system. UDS-DFKI achieved competitive performance ranking second among ten teams in Czech to Polish translation.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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