The main goal of the CLT Cloud project is to equip lexica, morphological processors, parsers and other software components developed within CLT (Centre of Language Technology) with so called web API:s, thus making them available on the Internet in the form of web services. We present a proof-of-concept implementation of the CLT Cloud server where we use the logic programming language Prolog for composing and aggregating existing web services into new web services in a way that encourages creative exploration and rapid prototyping of LT applications.

The μ-TBL system represents an attempt to use the search and database capabilities of the Prolog programming language to implement a generalized form of transformation-based learning. In the true spirit of logic-programming, the implementation is 'derived' from a declarative, logical interpretation of transformation rules. The μ-TBL system recognizes four kinds of rules, that can be used to implement various kinds of disambiguators, including Constraint Grammar disambiguators as well as more traditional 'Brill-taggers'. Results from a number of experiments and benchmarks are presented which show that the system is both flexible and efficient.