| Título: | Mapping Between Semantic Graphs and Sentences in Grammar Induction System |
| Autores: | Laszlo Kovacs; University of Miskolc |
| Fecha: | 2010-06-04 |
| Publicador: | BRAIN: Broad Research in Artificial Intelligence and Neuroscience |
| Fuente: |
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| Tipo: | |
| Tema: |
Artificial Intelligence statistical learning, conceptual graph, word grammar, seman- tic anotation 2000 Mathematics Subject Classi¯cation: 68T50 Natural language processing |
| Descripción: | The proposed transformation module performs mapping be-tween two di®erent knowledge representation forms used in grammar induction systems. The kernel knowledge representation form is a special predicate centered conceptual graph called ECG. The ECG provides a semantic-based, language independent description of the environment. The other base representation form is some kind of language. The sentences of the language should meet the corresponding grammatical rules. The pilot project demonstrates the functionality of a translator module using this transformation engine between the ECG graph and the Hungarian language. |
| Idioma: | Inglés |
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