We demonstrate a new approach to Neural Machine Translation (NMT) for low-resource languages using a ubiquitous linguistic resource, Interlinear Glos…
We work on translation from rich-resource languages to low-resource languages. The main challenges we identify are the lack of low-resource language …
Paraphrases, the rewordings of the same semantic meaning, are useful for improving generalization and translation. However, prior works only explore …
Using paraphrases, the expression of the same semantic meaning in different words, to improve generalization and translation performance is often use…
We use a morphological analyzer and dictionary produced by aligning parallel data to automatically generate gloss, and use gloss-to-target attentional NMT with BPE to produce the final target translation. We produce meaningful translation that prese…
Neural Machine Translation (NMT) does not handle low-resource translation well because NMT is data-hungry and low-resource languages, by their nature…
By signing up you accept our content policy
Already have an account? Sign in
No a member yet? Create an account