In this paper we present our observations and
evaluations by observing the linguistic performance
of the system on several steps on the
training process of various English-to-German
Neural Machine Translation models. The
linguistic performance is measured through
a semi-automatic process using a test suite.
Among several linguistic observations, we find
that the translation quality of some linguistic
categories decreased within the recorded iterations.
Additionally, we notice some drops
of the translation quality of certain categories
when using a larger corpus.

Observing the Learning Curve of Neural Machine Translation with regard to Linguistic Phenomena

Student Research Workshop 1

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Observing the Learning Curve of Neural Machine Translation with regard to Linguistic Phenomena

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