Liangyou Li - Transfer Talk - 19th June 2015

Video Category: 
Transfer Talk
Liangyou Li

Title: Graph-Based Machine Translation

Supervisor: Prof. Qun Liu, Prof. Andy Way


Compared to sequences and trees, which have dominated the field of natural language processing (NLP) for decades, graphs are more general and powerful for modelling lan- guages. In both computational and theoretical linguistics, graphs are used to represent many morpho-syntactic aspects of languages. However, because of their high complexity, graphs are not widely used in NLP. Recently, hypergraphs, which is used to represent the meaning of a sentence, have been revisited and used for semantic-based machine translation (MT). This trial and recent progress on neural network MT encourage us to explore graph-based MT to make use of various type of linguistic knowledge in a unified model.