ERC Advanced Grant · 2016
Non-sequence models for tokenization replacement
Natural language processing (NLP) is concerned with computer-based processing of natural language, with applications such as human-machine interfaces and information access. The capabilities of NLP are currently severely limited compared to humans. NLP has high error rates for languages that differ from English (e.g., languages with higher morphological complexity like Czech) and for text genres that are not well edited (or noisy) and that are of high economic importance, e.g., social media text. NLP is based on machine learning, which requires as basis a representation that reflects the underlying structure of the domain, in this case the structure of language. But representations…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.