Abstract
We present a simple and intuitive unsound corpus-driven approximation method for turning unification-based grammars (UBGs), such as HPSG [1] or PATR-II [2], into context-free grammars (CFGs). The method is unsound in that it does not generate a CFG whose language is a true superset of the language accepted by the original UBG. It is a corpus-driven method in that it relies on a corpus of parsed sentences and generates broader CFGs when given more input samples. Our open approach can be fine-tuned in different directions, allowing us to monotonically come close to the original parse trees by shifting more information into the CF symbols. The approach has been fully implemented in Java.
Due to space limitations, the interested reader might further consult [3]. This report discusses several orthogonal adjusting parameters, additional postprocessing steps and motivate that the extracted CFGs can be tuned to deliver a meaningful semantic output.
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Krieger, HU. (2004). A Corpus-Driven Context-Free Approximation of Head-Driven Phrase Structure Grammar. In: Paliouras, G., Sakakibara, Y. (eds) Grammatical Inference: Algorithms and Applications. ICGI 2004. Lecture Notes in Computer Science(), vol 3264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30195-0_18
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DOI: https://doi.org/10.1007/978-3-540-30195-0_18
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