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Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models
(NUI Galway, 2019-08-19)
Rule-based machine translation is a machine translation paradigm where linguistic
knowledge is encoded by an expert in the
form of rules that translate from source to
target language. While this approach grants
total ...
NUIG at TIAD: Combining unsupervised NLP and graph metrics for translation inference
(European Language Resources Association (ELRA), 2020-05-11)
In this paper, we present the NUIG system at the TIAD shard task. This system includes graph-based metrics calculated using novel
algorithms, with an unsupervised document embedding tool called ONETA and an unsupervised ...