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Other parts of speech such as prepositions, articles, adverbs, etc., play a lesser role in determining the meaning of sentences; therefore, they are not considered when choosing significant unigrams and bigrams. The proposed method is tested on two problem domains: citations and opinosis data sets. Results show that the proposed method performs better than Text-Rank, LexRank, and Edmundson summarization methods. The proposed method is general enough to summarize texts from any domain.<\/jats:p>","DOI":"10.4018\/ijitwe.2020010105","type":"journal-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T13:29:02Z","timestamp":1572874142000},"page":"64-74","source":"Crossref","is-referenced-by-count":4,"title":["Generating Summaries Through Unigram and Bigram"],"prefix":"10.4018","volume":"15","author":[{"given":"Nesreen Mohammad","family":"Alsharman","sequence":"first","affiliation":[{"name":"WISE, Amman, Jordan"}]},{"given":"Inna V.","family":"Pivkina","sequence":"additional","affiliation":[{"name":"NMSU, USA"}]}],"member":"2432","reference":[{"issue":"3","key":"IJITWE.2020010105-0","first-page":"320","article-title":"A rule-based approach for tagging nonvocalized Arabic words.","volume":"6","author":"A.Al-Taani","year":"2009","journal-title":"The International Arab Journal of Information Technology"},{"key":"IJITWE.2020010105-1","first-page":"46","article-title":"Improving Performance of Text Summarization.","author":"S.Babar","year":"2015","journal-title":"Procedia Computer Science"},{"key":"IJITWE.2020010105-2","unstructured":"Belica, M. 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