Abstract
The OSTIA (Onward Subsequential Transducer Inference Algorithm) is an algorithm for inferring mappings between languages from input-output pairs, wich identifies in the limit any total subsequential function. It has been applied over a wide number of machine translation problems with great success. Incorporating the suggestions made in De la Higuera, Vidal and Oncina [dOV96] for automata inference, the DD-OSTIA (Data Driven OSTIA) is presented here. The experiments show a great reduction of the size of the training set needed for obtaining good models.
Cite
CITATION STYLE
Oncina, J. (1998). The data driven approach applied to the OSTIA algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1433, pp. 50–56). Springer Verlag. https://doi.org/10.1007/bfb0054063
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