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This paper proposes a method for proper names extraction from Myanmar text by using latent Dirichlet allocation (LDA). Our method aims to extract proper names that provide important information on the contents of Myanmar text. Our method consists of two steps. In the first step, we extract topic words from Myanmar news articles by using LDA. In the second step, we make a post-processing, because the...
This paper proposes a method for exploring out-of-vocabulary (OOV) words from Myanmar text by using maximal substrings. Our main purpose is to find OOV words that can be added into the Myanmar dictionary. The outcome of our method are new compound words that do not exist in the Myanmar dictionary. Our method consists of two steps. In the first step, we extract maximal substrings, i.e., the substrings...
This paper proposes a method for exploring technical phrase frames by extracting word n-grams that match our information needs and interests from research paper titles. Technical phrase frames, the outcome of our method, are phrases with wildcards that may be substituted for any technical term. Our method, first of all, extracts word trigrams from research paper titles and constructs a co-occurrence...
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