Richard Evans, University of Wolverhampton
Date and time: Wednesday, June 22nd, 11:30
Room: MC224
Abstract:
Evidence from clinical linguistics and NLP shows that sentences which are propositionally dense and syntactically complex are relatively difficult to process by humans and machines. Continue reading
Elena Errico, University of Genoa
Title: An Interpreter’s Wish List
Date and time: Tuesday 7th June, 1.30pm
Room: MC232, City Campus
Abstract:
Interpreting is a very challenging cognitive activity not least because it requires professionals to take translation decisions under very strict time constraints and while performing several Continue reading
The programme and the abstracts of the presentations of the 2nd Workshop on Natural Language Processing for Translation Memories to be held in conjunction with LREC 2016 is available on the workshops website. It features three invited speakers, four research papers, a shared task and a round table. We hope to see you in Portorož.
Speaker: Shiva Taslimipoor
Title: Automatic Extraction and Translation of Multiword Expressions
Date and time: Wednesday, March 9th, 2pm
Room: MD083, City Campus
Abstract: Multiword expressions (MWEs) are defined as idiosyncratic interpretations that cross word boundaries or spaces, e.g. frying pan, take a look and take part. They have distinct syntactic and semantic properties that call for special treatment within a computational system. Continue reading
Speaker: Dr Paul Rayson, Lancaster University
Title: Taxonomies for semantic tagging: how large do they need to be?
Date and time: Tuesday Feb 9th, 2pm
Room: MI301, City Campus
Abstract: In this presentation, I will describe joint research carried out in the recently completed Samuels project (www.gla.ac.uk/samuels/) in which we have applied automatic semantic analysis to two very large corpora around 1-2 billion words each: Continue reading
The details of the shared task on cleaning of translation memories organised at the 2nd Workshop on Natural Language Processing for Translation Memories have been published. We hope it will be a successful task given the amount of traffic the page has received in the first 24h since it was announced.