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Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models

Torregrosa, Daniel; Pasricha, Nivranshu; Chakravarth, Bharathi Raja; Masoud, Maraim; Alonso, Juan; Casas, Noe; Arcan, Mihael (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

McCrae, John P.; Arcan, Mihael (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 ...