Open AccessYour language is easily recognized: A language clustering software in linguistic analysis
Author(s) -
Lucky Rahayu Nurjamin,
Yustika Nur Fajriah,
Andi Abdul Hamzah,
Puji Setiawati,
Lia Novita
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1402/7/077058
Subject(s) - computer science , software , sorting , cluster analysis , natural language processing , sort , linguistics , artificial intelligence , data science , programming language , information retrieval , philosophy
The development of technology in upholding any discipline of knowledge has been widely extended, particularly in linguistic study. One of the advancements is a language clustering software, functioning to analyse any linguistic data through the sorting procedure, namely Monoconc. Due to its significance, this study is aimed at expounding the practicality and feasibility of this software. To achieve this aim, both qualitative and quantitative research approaches were employed. As results, Monoconc software is recommended to utilize in analysing linguistic corpora. The simplicity, as well as the viability, are the main roots of proposing this concordance software as an alternative to applying.