Themes

The workshop is interested in research that explores new methods in incorporating linguistic knowledge into statistical systems or using statistical systems for linguistic knowledge discovery. These include but are not limited to the following themes:

[T1] Research that shows being aware of certain linguistic phenomena and designing a statistical system accordingly improves performance.

[T2] New methods in incorporating linguistic knowledge into statistical systems to improve the start of the art. (e.g., as rules in a preprocessing step, as linguistic features in a statistical system, as filters for pruning a search space, as priors in an objective function).

[T3] Research that demonstrates the feasibility of creating NLP systems to automatically acquire linguistic knowledge for a large number of languages.

[T4] Research that demonstrates the benefits of using NLP techniques to help some particular linguistic studies. For instance, given some language data, which language family should a particular language belong to? How do languages interact with each other? How do language evolve over the time? What are the main differences between two dialects of the same languages (e.g., British English and American English)?