Chapter

Applied Computing

Volume 3285 of the series Lecture Notes in Computer Science pp 123-129

Morphological Analyzer for Manipuri: Design and Implementation

  • Sirajul Islam ChoudhuryAffiliated withCarnegie Mellon UniversityRCILTS, Department of Computer Science & Engineering, IIT
  • , Leihaorambam Sarbajit SinghAffiliated withCarnegie Mellon UniversityRCILTS, Department of Computer Science & Engineering, IIT
  • , Samir BorgohainAffiliated withCarnegie Mellon UniversityRCILTS, Department of Computer Science & Engineering, IIT
  • , Pradip Kumar DasAffiliated withCarnegie Mellon UniversityRCILTS, Department of Computer Science & Engineering, IIT

* Final gross prices may vary according to local VAT.

Get Access

Abstract

This paper presents the design of a morphological analyzer for Manipuri language. This language falls under agglutinating and Subject-Object-Verb (SOV) type. The morphological analysis determines the syntactic properties of Manipuri words and it comprises of the following three major functions: Morphographemics, Morphotactics and Feature Combination. We propose a model to treat orthographic variations, sequential and non-sequential morphotactic constrains and combination of morphosyntactic features. The morphological processing is based on the grammatical rules and the dictionaries: root and affix dictionary. A model tagger is used to tag the analyzed word. The tagger tags the lexical category of the root and the grammatical category of the affixes. We show the design and implementation of the full morphosyntactic analysis procedure for words in unrestricted Manipuri text.