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otherentity ID: sourcelanguages

Related Papers

A Comparison of MT Errors and ESL Errors

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractGenerating fluent and grammatical sentences is a major goal for both Machine Translation (MT) and second-language Grammar Error Correction (GEC), but there have not been a lot of cross-fertilization between …...

15413

An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this work, we explore massively multilingual low-resource neural machine translation. Using translations of the Bible (which have parallel structure across languages), we train models with up to 1,107 source …...

14612

PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractCross-lingual transfer is a leading technique for parsing low-resource languages in the absence of explicit supervision. Simple ‘direct transfer’ of a learned model based on a multilingual input encoding has …...

42562