Модельді бейімдеу

Many recent statistical parsers rely on a preprocess- ing step which uses hand-written, corpus-specific rules to augment the training data with extra infor- mation. For example, head-finding rules are used …...

We consider the problem of correcting errors made by English as a Second Language (ESL) writers and address two issues that are essen- tial to making progress in ESL error …...

AbstractTransformer models have been used in automatic speech recognition (ASR) successfully and yields state-of-the-art results. However, its performance is still affected by speaker mismatch between training and test data. Further …...

AbstractPretrained multilingual models enable zero-shot learning even for unseen languages, and that performance can be further improved via adaptation prior to finetuning. However, it is unclear how the number of …...