In this paper, the problem under consideration is multiobjective non-linear fractional programming problem involving semilocally convex and related functions. We have discussed the interrelation between the solution sets involving properly efficient solutions of multiobjective fractional programming and corresponding scalar fractional programming problem. Necessary and sufficient optimality...

In an earlier issue of this journal, Craft (2001) explored Neuro-linguistic Programming (NLP) in relation to a classification of learning theories. Craft also offered various observations on, and criticisms of, aspects of NLP such as its theoretical coherence, modelling, Dilts’s ‘logical levels’ and possible dissonance of NLP's espousal of individuality in learning with its experiential emphasi...

While some linguistic questions pose challenges that could be met by developing and applying NLP techniques, other problems can best be approached with a blend of old-fashioned linguistic investigation and the use of simple, well-established NLP tools. Unfortunately, this means that the NLP component is too simple to be of interest to the computationally-minded, while existing tools are often d...

nlp is a compiler for nested logic programming under answer set semantics. It is designed as a front-end translating nested logic programs into disjunctive ones, whose answer sets are then computable by disjunctive logic programming systems, like dlv or gnt. nlp offers different translations: One is polynomial but necessitates the introduction of new atoms, another is exponential in the worst c...

Natural Language Processing (NLP) was one of the original motivations leading to programming in logic [1] back in the seventies, with Colmerauer’s Metamorphosis Grammars [2] and with Pereira and D.H.D Warren’s Definite Clause Grammars [3], enhanced later with mechanisms for hypothetical reasoning [4]. Montague Grammars (implemented in Prolog by D.S. Warren [5]) and work by Veronica Dahl on defi...

Dynamic Programming (DP) is an important class of algorithms widely used in many areas of speech and language processing. It provides efficient solutions to seemingly intractable inference over exponentially-large spaces by sharing overlapping subproblems. Well-known examples of DP in our field include Viterbi and Forward-Backward Algorithms for finitestate models, CKY and Earley Algorithms for...