Acquaintance with Natural Language Processing for Building Smart Society

Natural Language Processing with Python

Building Applied Natural Language

In this article, we give an overview of Natural Language Generation (nlg) from an applied system-building perspective. The article includes a discussion of when nlg techniques should be used; suggestions for carrying out requirements analyses; and a description of the basic nlg tasks of content determination, discourse planning, sentence aggregation, lexicalization, referring expression generat...

Formal Language Theory For Natural Language Processing

This paper reports on a course whose aim is to introduce Formal Language Theory to students with little formal background (mostly linguistics students). The course was first taught at the European Summer School for Logic, Language and Information to a mixed audience of students, undergraduate, graduate and postgraduate, with various backgrounds. The challenges of teaching such a course include ...

A Logical Language for Natural Language Processing

We present a formal description of a logical language that is based on a propositional semantic network. Variables in this language are not atomic and have potentially complex structure. We start from the individual components of a semantic network system, atomic nodes and relations that connect nodes, and provide a complete speci cation for the structure of nodes and a subsumption procedure be...

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...