D de Kok - Proceedings of the UCNLG+ Eval: Language …, 2011 - aclanthology.org
Reversible stochastic attribute-value grammars (de Kok et al., 2011) use one model for parse disambiguation and fluency ranking. Such a model encodes preferences with respect …
An attractive property of attribute-value grammars is their reversibility. Attribute-value grammars are usually coupled with separate statistical components for parse selection and …
R Malouf, G Van Noord - IJCNLP-04 Workshop Beyond Shallow Analyses …, 2004 - Citeseer
Probabilistic analogues of regular and context-free grammars are well-known in computational linguistics, and currently the subject of intensive research. To date, however …
M Osborne - arXiv preprint cs/0008024, 2000 - arxiv.org
We argue that some of the computational complexity associated with estimation of stochastic attribute-value grammars can be reduced by training upon an informative subset of the full …
T Mullen, M Osborne - … and the Second Learning Language in …, 2000 - aclanthology.org
We present a novel approach to the problem of overfitting in the training of stochastic models for selecting parses generated by attributevalued grammars. In this approach, statistical …
S Abney - arXiv preprint cmp-lg/9610003, 1996 - arxiv.org
Probabilistic analogues of regular and context-free grammars are well-known in computational linguistics, and currently the subject of intensive research. To date, however …
B Starkie - International Colloquium on Grammatical Inference, 2002 - Springer
This paper presents a method for inferring reversible attribute grammars from tagged natural language sentences. Attribute grammars are a form of augmented context free grammar that …
G van Noord, R Malouf - Draft available from the authors. A preliminary …, 2004 - Citeseer
Stochastic Attribute Value Grammars (SAVGs) provide an attractive framework for syntactic analysis, because they allow the combination of linguistic sophistication with a principled …
This thesis describes a methodology for the computational learning and classification of a Systemic Functional Grammar. A machine learning algorithm is developed that allows the …