Analizadores morfológicos aplicados al lenguaje natural, aplicaciones para búsqueda de información

Almost everybody has faced the need to store a large amount of human-generated information (specifically, extense texts) and later ease the need to search on it. There are many techniques we can use, but we often miss the most powerful ones. Human spoken or written language is known as natural language. In this talk I present some techniques that allow us to process it to make it easier and simpler its analysis, and make more efficient searching on it, specially based on the Snowball project and its application to databases through PostgreSQL’s TSearch2 module.

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