ITL - International Journal of Applied Linguistics - Volume 54, Issue 1, 1981

Specific aspects of deep structure case grammar (Fillmore 1968, 1969) as well as participation systems (Cohen 1975) and an analysis of modern Hebrew case (Cole 1976) are simplified, adapted, and synthesized- into an applied linguistic decoding model which could have practical application in the field of foreign language teaching in general, and reading comprehension in particular. Specific problems intermediate and advanced English-speaking students may have reading Hebrew texts, the concept of pedagogical versus theoretical grammars, and the need for an individualized reading program for intermediate and advanced foreign language students are also discussed.

In this paper a system will be described that enables the design of a series of computer programs ("modules") for the automatic treatment of homography.By homography we mean the ambiguity between the graphic representation of word forms belonging to different syntactic classes.By automatic treatment of homography we mean assigning the correct syntactic class to homographs with the help of an algorithm.Homography is a problem connected with written text only.In our opinion it is not a linguistic problem,but a problem of information processing using linguistic and extralinguistic signs.

As linguistic signs the syntactic rules of the so-called surface structure are used.They are used from two different points of view:the string properties are used to shape the algorithm; the constituent structure is used to find out which branch is to be taken in the algorithm.Thus the design of the system is more or less comparable with Winograd's model for semantic information processing or Salkoff's String Grammar (Salkoff,1973).

However,we are not developing a model for parsing structures.The paper is devoted to homography because the systems developed in the past neglected this kind oflinguistic information processing.

On the other hand the output of homography solving programs forms useful input for a variety of sciences studying aspects of languages use.Not only purely linguistic studies could use text input free from homography,but also literary,sociological and even legal text studies or question answering systems using data bases (Berry-Rogghe,1978; Kragelöh;

Lockemann) needsuchinput.A more detailed description will be given of a concrete problem:the definition of the information that should be computed to disambiguate the homography of the German determiner.We developed a linear bounded automaton,because this proved to be the most efficient way to solve,the problem of homography.