Logical Computational Linguistics
For NLP researchers and developers of life-critical applications, this work proposes a logical alternative to statistical methods, but it is primarily a compilation of existing research with no empirical validation.
This book advocates for logical computational linguistics over statistical approaches, arguing that logical dependencies maintain 100% confidence while statistical chains degrade. It aims to enable perfect syntactic and semantic processing in life-critical NLP applications.
In this book we promote logical computational linguistics as opposed to statistical computational linguistics. In particular, we provide a logical semantic interface. This book assembles more than twenty years of research work on type logical grammar, and adds new ideas and material. Chains of statistical dependencies of less than one hundred per cent confidence tend monotonically to zero. Chains of logical dependencies of any length maintain one hundred per cent confidence end to end. We aspire to enable perfect syntactic and semantic processing in life-critical NLP applications.