A system for the acquisition and management of reusable morphological dictionaries is clearly a useful tool for NLP. As such, most currently popular finite-state morphology systems have a number of drawbacks. In the development of Word Manager, these problems have been taken into account. As a result, its knowledge acquisition component is well-developed, and its knowledge representation enables more flexible use than typical finite-state systems.
This paper argues that a lexical database should be implemented with a special kind of database management system (DBMS) and outlines the design of such a system. The major difference between this proposal and a general purpose DBMS is that its data definition language (DDL) allows the specification of the entire morphology, which turns the lexical database from a mere collection of 'static' data into a real-time word-analyser. Moreover, the dedication of the system conduces to the feasibility of user interfaces with very comfortable monitor-and manipulation functions.
This paper presents an approach to computational morphology which can be considered as being derived l¥om the two-level model but differs from this substantially. Lexemes rather than formatives are the most important entities distinguished in this approach. The consequence is that a new formalism for the specification of morphological knowledge is required. A short description of a system called Word Manager will outline the characteristics of such a formalistn, the most prominent of which is that different subformalisms for inflectional rules and wordformation rules are distinguished. These rules are applied separately though not independently and support the concept of lexicalization. The primary advantage of this is that the system can build up a network of knowledge on how formatives, lexemes, and rules depend on each other while individual lexemes are lexicalized. Thus, the system will know the inflectional forms of a lexeme, the destructuring of these forms into formatives, how the lexeme has been derived or composed if it is a word-fommtion, etc. This requires much memory, yet, the phik)sophy behind the approach is that lhe system runs as a server on a local area network, so that an entire machine can be dedicated to the task, if necessary.
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