OOV ставкасы

One of the thorniest problems of large vocabulary continuous speech recognition systems is the large number of out-of-vocabulary (OOV) words. This is especially the case for the languages like Japanese, …...

AbstractIn this paper we deal with named entity detection on data acquired via OCR process on documents dating from 1890. The resulting corpus is very noisy. We perform an analysis …...

AbstractLarge scale pre-trained language models have shown groundbreaking performance improvements for transfer learning in the domain of natural language processing. In our paper, we study a pre-trained multilingual BERT model …...

AbstractNeural constituency parsers have reached practical performance on news-domain benchmarks. However, their generalization ability to other domains remains weak. Existing findings on cross-domain constituency parsing are only made on a …...