  The aim of this paper is to evaluate the lexical components of a Text to
Knowledge Mapping (TKM) prototype. The prototype is domain-specific, the
purpose of which is to map instructional text onto a knowledge domain. The
context of the knowledge domain of the prototype is physics, specifically DC
electrical circuits. During development, the prototype has been tested with a
limited data set from the domain. The prototype now reached a stage where it
needs to be evaluated with a representative linguistic data set called corpus.
A corpus is a collection of text drawn from typical sources which can be used
as a test data set to evaluate NLP systems. As there is no available corpus for
the domain, we developed a representative corpus and annotated it with
linguistic information. The evaluation of the prototype considers one of its
two main components- lexical knowledge base. With the corpus, the evaluation
enriches the lexical knowledge resources like vocabulary and grammar structure.
This leads the prototype to parse a reasonable amount of sentences in the
corpus.
