Natural Language Processing with some Abbreviation to SQL

SQL Generation for Natural Language Interface

A hot issue in the area of database management is to provide a high level interface for nontechnical users. An important research direction is the application of natural language interface. The paper presents an interface module that converts user’s query given in natural language into a corresponding SQL command. After clustering the input sentence, a pushdown automaton is used to verify the s...

nQuery - A Natural Language Statement to SQL Query Generator

In this research, an intelligent system is designed between the user and the database system which accepts natural language input and then converts it into an SQL query. The research focuses on incorporating complex queries along with simple queries irrespective of the database. The system accommodates aggregate functions, multiple conditions in WHERE clause, advanced clauses like ORDER BY, GRO...

Natural Language Processing with Python

From NLP (Natural Language Processing) to MLP (Machine Language Processing)

Natural Language Processing (NLP) in combination with Machine Learning techniques plays an important role in the field of automatic text analysis. Motivated by the successful use of NLP in solving text classification problems in the area of e-Participation and inspired by our prior work in the field of polymorphic shellcode detection we gave classical NLP-processes a trial in the special case o...

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...