Improving Neural Machine Translation Models with Monolingual DataThe research presented in this publication was conducted in cooperation with Samsung Electronics Polska sp. z o.o. - Samsung R&D Institute Poland.
Table 2: Turkish→English training data.
['dataset', 'sentences']
After removal of sentence pairs which contain empty lines or lines with a length ratio above 9, we retain 320000 sentence pairs of training data. For the experiments with monolingual training data, we use the English LDC Gigaword corpus (Fifth Edition). With only 320000 sentences of parallel data available for training, this is a much lower-resourced translation setting than English↔German.