scholarly journals A Review of Natural Language Processing Techniques: Application to Afan Oromo

Author(s):  
Bekele Abera Hordofa ◽  
Shambel Dechasa Degefa

Language is a means of communication and a symbol of national identity. Afan Oromo is one of written and spoken indigenous language in Ethiopia which uses a writing system called Qubee. Natural language processing is automatic or semi-automatic processing of human language that helps computers to understand and process language. NLP techniques involve various linguistic levels to understand and use language. Linguistic levels are an explanatory method for presenting what actually happens within a natural language processing system. This is very important to develop appropriate and desired NLP applications at both higher and lower levels. In this paper, we present a review of techniques, current trends and challenges in NLP application to Afan Oromo.

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Paula Carvalho ◽  
Mário J. Silva

This paper describes the main characteristics of SentiLex-PT, a sentiment lexicon designed for the extraction of sentiment and opinion about human entities in Portuguese texts. The potential of this resource is illustrated on its application to two types of corpora, the SentiCorpus-PT, a social media corpus, consisting of user comments to news articles, and a literary piece of the early twentieth century, The Poor (Os Pobres), by Raul Brandão. The data were processed by UNITEX, a natural language processing system based on dictionaries and grammars.


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