Validation of Malayalam Translation of Functional Assessment of Cancer Therapy–Esophageal (FACT-E) Questionnairedoi:10.1007/s13193-024-02183-7Oesophageal cancer has long been considered as one of the most deadly diseases. Recent advances in the perioperative management of this cancer has brought about...
Given the large input sizes, it is much more efficient to pad the training batches dynamically meaning that all training samples should only be padded to the longest sample in their batch and not the overall longest sample. Therefore, fine-tuning Wav2Vec2-BERT requires a special pa...
Sample Question Papers for GRE According to New Syllabus- Translation in Hindi, Kannada, Malayalam, Marathi, Punjabi, Sindhi, Sindhi, Tamil, Telgu - Examrace Download and practice sample papers for GRE-2019 according to new syllabus Sample,,Question,,Papers,,GRE,,According,,New,,Syllabus,,Examra...
This paper present a strategy to identify the special formats in English text like date, currency, number, time, quotes, acronym, parenthesis, etc for a rule based English Malayalam Machine Aided Translation system. AnglaBharati is a pattern directed rule based system with context free grammar ...
We understand that accent markers have substantial meaning in some languages, but felt that the benefits of reducing the effective vocabulary make up for this. Generally the strong contextual models of BERT should make up for any ambiguity introduced by stripping accent markers. ### List of ...
Given the large input sizes, it is much more efficient to pad the training batches dynamically meaning that all training samples should only be padded to the longest sample in their batch and not the overall longest sample. Therefore, fine-tuning Wav2Vec2-BERT requires a special pa...
This is necessary because in speech input and output are of different modalities meaning that they should not be treated by the same padding function. Analogous to the common data collators, the padding tokens in the labels with -100 so that those tokens are not taken into account ...
In contrast to most NLP models, Wav2Vec2-BERT has a much larger input length than output length. Given the large input sizes, it is much more efficient to pad the training batches dynamically meaning that all training samples should only be padded to the longest sample in their...