Word stemming algorithm is used in artificial intelligence applications to stem derived words
to their respective root words. Even though there are many existing words stemming …

Abstract Latent Semantic Analysis (LSA) is a mathematical approach that uses Singular
Value Decomposition to discover the important association of the relationship between …

Names are categorized as proper nouns. Identifying nouns in unstructured text is very
challenging since the number is almost unlimited. Name recognition can be used for part-of …

Stemming algorithm is crucial part of huge number of natural language processing (NLP),
information retrieval system (IRS), dictionary search, text summarize indexing and so on …

Word stemming algorithm is a natural language morphogical process of reducing derived
words to their respective root words. Due to the importance of word stemming algorithm …

Word stemming algorithm (or word stemmer) is an important preprocessing component in
the information retrieval and text categorization that aims to reduce derived words to their …

This paper focuses on construction of computational lexicon for Malay language that
involves computational study and the use of electronic lexicons. To construct the lexicons, it …

Cross-lingual annotation projection methods can benefit from rich-resourced languages to
improve the performance of Natural Language Processing (NLP) tasks in less-resourced …

Word stemmer is a preprocessing component that has been widely used in many artificial
intelligence applications for reducing derived words to their respective root words. There are …

Malay language is a major language that is in used by citizens of Malaysia, Indonesia,
Singapore and Brunei. As the language is widely used, there are abundant of text articles …