Кросс-лингвистикалық алдын ала оқыту

method ID: crosslingualpretraining

Related Papers

Cross-lingual Cross-modal Pretraining for Multimodal Retrieval

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractRecent pretrained vision-language models have achieved impressive performance on cross-modal retrieval tasks in English. Their success, however, heavily depends on the availability of many annotated image-caption datasets for pretraining, where …...

21595

Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractSuccessful methods for unsupervised neural machine translation (UNMT) employ cross-lingual pretraining via self-supervision, often in the form of a masked language modeling or a sequence generation task, which requires the …...

21856

Multi-Granularity Contrasting for Cross-Lingual Pre-Training

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Cross-lingual pre-training aims at providing effective prior representations for the inputs from multiple languages. With the model- ing of bidirectional contexts, recently preva- lent language modeling approaches such as XLM …...

34033

XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractDue to the scarcity of annotated data, Abstract Meaning Representation (AMR) research is relatively limited and challenging for languages other than English. Upon the availability of English AMR dataset and …...

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