Before we consider the evaluation of efficiency in both learning and parsing, it is worth pointing out that the results will be heavily dependent on the choice of support vector machines for classification, and cannot be directly generalized to the use of deterministic incremental parsing algorithms together with other kinds of classifiers.
because support vector machines constitute the state of the art in classifierbased parsing, it is still worth examining how learning and parsing times vary with the parsing algorithm while parameters of learning and classification are kept constant.