Nowadays in the age of technology, a tremendous amount of data is being generated online and offline every day. Likewise, so many people today are sticking to the internet using telecommunications equipment to keep up ...

Nowadays, Natural Language Processing (NLP) concerns with the interaction between computers and human natural languages. The most difficult task in NLP is to learn natural languages for the computer. Parsing is one of ...

Over the last few years, this special task of summarizing opinions has stirred tremendous interest amongst the NLP and Text Mining communities. The simplest form of an opinion summary is the result of sentiment prediction. ...

Nowadays, the information overloads with social media are with the development in natural language application for the local Amharic language speaker posted texts, the amount of data one has to deal with increased rapidly ...

In recent years, the Internet has become a global platform for communicating and disseminating information. Today, popular social media sites have a huge global reach and audience with many daily active users who ...

Character Identi cation is an entity linking task that nds the global entity of each personal mention on multiparty dialogue. In this work, we combined coreference resolution and entity linking to accomplish a more ...

Developing language applications or localizations of software is a resource intensive task that requires the active participation of stakeholders with various backgrounds. Spell checking is the one and significant ...

Sentence completion is an unsolvable problem in the area of Natural Language Processing and Information Retrieval field of study. These-days, alertly increasing the number of electronic device users, who need to perform ...

Users of social media can share and consume information freely. This opportunity leads them to disseminate toxic information which we can call offensive language. In a country like Ethiopia where multi nations and ...

Stemmer is typically used as a standalone module in the architecture of NLP systems. It is particularly important for the development of search engines, MT, speech recognition, text categorization, IE, and text ...