Linguistics in middle school: Incorporating linguistics into project-based learning: Supplemental Material

Incorporating Linguistics Constraints into Inductive Logic Programming

We report work on effectively incorporating linguistic knowledge into grammar induction. We use a highly interactive bot tom-up inductive logic programming (ILP) algorithm to learn 'missing' grammar rules from an :incomplete grammar. Using linguistic constraints on, for example, head features and gap threading, reduces the search space to such an extent that, in the small-scale experiments repo...

Computational Linguistics: Language Learning

Semisupervised Learning for Computational Linguistics

Semi-supervised learning is by no means an unfamiliar concept to natural language processing researchers. Labeled data has been used to improve unsupervised parameter estimation procedures such as the EM algorithm and its variants since the beginning of the statistical revolution in NLP (e.g., Pereira and Schabes (1992)). Unlabeled data has also been used to improve supervised learning procedur...

E-Learning and Computational Linguistics

0 Preface E-Learning is more and more becoming a commodity in all areas of education ranging from curricular learning at schools and universities via further education and learning on the job to social and game-based learning in spare time activities. At the same time, research on ELearning is scattered across different research disciplines, being often a matter of single initiatives and person...

After Linguistics - based MT

The 80s can be characterized as the era of Linguistics-based MT (LBMT) and of its failure in the history of MT, in which (computational) linguists have initiated the first serious attempt at constructing scientific or computational theories of MT. Partly because of a large discrepancy between scientific interests and engineering practices, this work has little influence on the performance of co...