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{ Tag Archives } statistical models

Copying Human Tactics in Developing NLP Models

The question of how humans handle language is of great value and deserves quite a bit of deep research on its own. However, its value lies beyond the natural boundaries of cognitive science. Since the human mind presents a working language model, we can copy from it while building computerized language models. Even a shallow [...]

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Source Credibility in Language Acquisition

The issue of false inputs in language acquisition is a well known one and considered critical to NLP applications. For instance, computer automated acquisition of language through data on the Internet will require to sift through a large percentage of false data. Statistical models try to overcome this difficulty by assuming that most of the [...]

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