A Constructivist Approach to Machine Translation

Instead of having a similarity metric to classify a sentence (or parts of it) decomposition is used as a method fox classification. In order to determine the similarity of a complex sentence and some cases in the case base abstraction by means of decomposition and reduction seems an appropriate means s. rI agree with the comment of an anonymous reviewer that a more thorough linguistic analysis may ~ell yield a better performance for direct use of similarity metrics, subverting the needs of post hoe adaptations. The problem is how cart you know when you have done sufficiently linguistic analyses without reference to the data? SA similar idea can be found in [CC96]. However, in their approach sentences undergo a (rule-drlven) syntactic analysis. Abstractions are induced from the input sentence based on cases in the case base. The less an input sentence is known to the system, the more abstractions are needed for the sentence to be matched onto the case base. However, the more abstractions are performed, the greater will be the dissimilarity between the sentence and the matching case(us). Accordingly, it is stressed in [BW96] that the significance of similarity between a problem and a set of cases is more important the hss abstract the