This paper describes the design of a stemming algorithm for searching databases of Latin
text. The algorithm uses a simple longest‐match approach with some recoding but differs …

Stemming is a morphological analysis that tries to associate variants of the same term with a
common root form. It is important to improve recall and precision in IR systems. Malay word …

Systems (IRS) is generally about retrieving of relevant documents pertaining to information
needs. The more the system able to understand the contents of documents the more …

There are two main classes of conflation algorithms, namely, string-similarity algorithms and
stemming algorithms. String-similarity matching algorithms, bi-grams and tri-grams, are used …

Systems (IRS) is generally about understanding of information in the documents concern.
The more the system able to understand the contents of documents the more effective will be …

Stemming is defined as the conflation of all variations of specific words to a single form
called the root or stem. Stemming plays a vital role in natural language processing and …

Stemming is used in information retrieval systems to reduce variant word forms to common
roots in order to improve retrieval effectiveness. As in other languages, there is a need for an …

Conflation is used in information retrieval systems to reduce variant word forms to common
roots in order to improve retrieval effectiveness. Conflation algorithms are classified into two …

There have been very few studies on the use of conflation algorithms for indexing and
retrieval of Malay documents. The two main classes of conflation algorithms are string …

This paper reports a detailed evaluation of the effectiveness of a system that has been
developed for the identification and retrieval of morphological variants in searches of Latin …