Лог сызықтық модельдер

This paper examines feature selection for log linear models over rich constraint-based grammar (HPSG) representations by building decision trees over fea- tures in corresponding probabilistic context free grammars (PCFGs). We …...

We present a framework for word align- ment based on log-linear models. All knowledge sources are treated as feature functions, which depend on the source langauge sentence, the target language …...

This paper reports the development of log- linear models for the disambiguation in wide-coverage HPSG parsing. The esti- mation of log-linear models requires high computational cost, especially with wide- coverage …...

. Log-linear models represent nowadays the state-of-the-art in statistical machine translation. There, several models are combined al- together into a whole statistical approach. Finite-state transducers cons- titute a special type …...

AbstractMost state-of-the-art systems today produce morphological analysis based only on orthographic patterns. In contrast, we propose a model for unsupervised morphological analysis that integrates orthographic and semantic views of words. …...