UNL Based Bangla Natural Text Conversion - Predicate Preserving Parser Approach
This work addresses the challenge of language translation for Bangla speakers by enabling conversion to UNL, but it appears incremental as it applies an existing PPP technique to a specific language without demonstrating broad improvements.
The paper tackles the problem of converting Bangla natural language text into Universal Networking Language (UNL) using a Predicate Preserving Parser (PPP) technique, which performs morphological, syntactic, semantic, and lexical analysis synchronously to produce UNL documents for potential universal translation.
Universal Networking Language (UNL) is a declarative formal language that is used to represent semantic data extracted from natural language texts. This paper presents a novel approach to converting Bangla natural language text into UNL using a method known as Predicate Preserving Parser (PPP) technique. PPP performs morphological, syntactic and semantic, and lexical analysis of text synchronously. This analysis produces a semantic-net like structure represented using UNL. We demonstrate how Bangla texts are analyzed following the PPP technique to produce UNL documents which can then be translated into any other suitable natural language facilitating the opportunity to develop a universal language translation method via UNL.