Jinyingming Zhang1 , Jin Liu1, *, Xinyue Lin1
Journal on Artificial Intelligence, Vol.2, No.2, pp. 79-88, 2020, DOI:10.32604/jai.2020.010476
- 15 July 2020
Abstract Neural Machine Translation (NMT) based system is an important technology
for translation applications. However, there is plenty of rooms for the improvement of
NMT. In the process of NMT, traditional word vector cannot distinguish the same words
under different parts of speech (POS). Aiming to alleviate this problem, this paper proposed
a new word vector training method based on POS feature. It can efficiently improve the
quality of translation by adding POS feature to the training process of word vectors. In the
experiments, we conducted extensive experiments to evaluate our methods. The
experimental result shows More >
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