Natural Language Object Model in Java (NLOMJ)

Title: Natural Language Object Model in Java (NLOMJ)

Research Question: How can we create a robust and efficient natural language object model in Java (NLOMJ) to better understand and process natural language?

Methodology: The researchers developed NLOMJ, a natural language object model in Java, with English as the experiment language. They used Object Oriented Programming (OOP) concepts to create a UML diagram that represents the important classes and their subclasses, such as Sentence, Clause, and Phrase, with their respective syntactic and semantic meanings. They also introduced the concept of "Object" in OOP to directly map to the syntax and semantics of natural language.

Results: The researchers presented a web-based human-computer interaction system with natural language for foreign language learning, using NLOMJ as the natural language understanding mechanism. They demonstrated that NLOMJ can be easily parsed by an OOP language and used to extract information from any permissible expression of a natural language, making it a useful linguistic method in intelligent information processing.

Implications: The development of NLOMJ has significant implications for the field of natural language processing. It provides a robust and efficient method for understanding and processing natural language, which can be applied to various tasks such as machine translation, text understanding, and information retrieval. Additionally, the use of OOP concepts and the direct mapping to the syntax and semantics of natural language make NLOMJ a versatile and adaptable tool for natural language processing.

Link to Article: https://arxiv.org/abs/0404041v2 Authors: arXiv ID: 0404041v2