Speeding up Vocabulary Acquisition through Action Research

Vocabulary Acquisition through Frequency Exposure via Reading

Vocabulary Acquisition through Extensive Reading

Vocabulary acquisition through extensive reading is significant and should be treated with substantial concern. Learning the usage and meaning of words incidentally in their contexts and developing inferencing skill to understand unknown words during extensive reading is a powerful contributor to vocabulary growth. Research showing that incidental vocabulary acquisition through extensive readin...

Speeding up research with the Semantic Web

Data for Rare Diseases are often distributed. Ideally, we can combine relevant data and biological insights from any place in the world and use it directly as input for computational analysis. However, too often data is poorly described making it hard to find, hard to assess its quality, and hard to integrate with other data. A valid question is: ‘Why can’t we analyse data as if it came from on...

Speeding Up Evolution through Learning: LEM

This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-type evolutionary algorithms that employ mutation and/or recombination, LEM employs machine learning to generate new populations. At each step of evolution, LEM determines hypotheses explaining why certain individuals in ...

Speeding up corpus development for linguistic research: language documentation and acquisition in Romansh Tuatschin

In this paper, we present ongoing work for developing language resources and basic NLP tools for an undocumented variety of Romansh, in the context of a language documentation and language acquisition project. Our tools are designed to improve the speed and reliability of corpus annotations for noisy data involving large amounts of code-switching, occurrences of child speech and orthographic no...