The University of Helsinki submissions to theWMT19 news translation task
Table 8: Results from individual MarianNMT transformer models and their combinations for English to Finnish (cased BLEU). The top matrix result refers to the best system reported in the on-line evaluation matrix (accessed on May 16, 2019).
['Model', 'BLEU news2017 L2R', 'BLEU news2017 R2L']
Our final models for English-to-Finnish are standard transformer models with BPE-based segmentation, trained using MarianNMT with the same settings and hyper-parameters as the other experiments. We used the filtered training data using the relaxed settings of the language model filter to obtain better coverage for this language pair. The provided training data is much smaller and we also have less back-translated data at our disposal, which motivated us to lower the threshold of taking examples from web-crawled data. Domain fine-tuning is done as well using news test sets from 2015, 2016 and 2018.