This paper examines the feasibility of incremental annotation, i.e. using existing annotation on a text as the basis for further annotation rather than starting the new annotation from scratch. It ...

Research areas include: NLP for low-resource scenarios, especially lower-resourced and minoritized languages and language users; human-robot interaction, and the representation of language in the mind ...

The Department’s computational linguistics faculty are dedicated to the advancement of human language technology and the automatic production of richer and more accurate representations of utterances ...

Annotating linguistic data has become a major field of interest, both for supplying the necessary data for machine learning approaches to NLP applications, and as a research issue in its own right.

The goal of the Palmer and Martin Lab is richer and more accurate representations of utterances in English, Chinese, Hindi/Urdu, and Arabic. The principle approach involves the application of ...

Hands-on introduction to computational methods in empirical linguistic analysis and natural language processing. Topics include language modeling, text classification, linguistic annotation, ...

PapyGreek project's PI Marja Vierros' latest article "Linguistic Annotation of the Digital Papyrological Corpus: Sematia" has been published in May 2018 in "Digital Papyrology II: Case Studies on the ...