Handbook of Natural Language Processing

Handbook of Natural Language Processing, Second Edition

The Handbook of Computational Linguistics and Natural Language Processing

ing over the particular type of feature spaces (such as Euclidean space in the example of Figure 6.1), the similarity between a new instance X and all examples Y in memory is computed using a similarity metric (that actually measures distance) Δ(X, Y). Classification works by assigning the most frequent class within the k most similar example(s) as the class of a new test instance. The most bas...

New trends in natural language processing: statistical natural language processing.

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. Recently, more and more work is shifting toward hybrid methods that combine new empirical corpus-based methods, including the use of probabilistic and informa...

Towards Natural Natural Language Processing

An essay about mimicking some aspects of language processing in our heads, using information fusion and competing patterns.

Multilingual Natural Language Processing

With rapidly growing online resources, such as Wikipedia, Twitter, or Facebook, there is an increasing number of languages that have a Web presence, and correspondingly there is a growing need for effective solutions for multilingual natural language processing. In this talk, I will explore the hypothesis that a multilingual representation can enrich the feature space for natural language proce...