Stemming is one of the basic steps in natural language processing applications such as
information retrieval, parts of speech tagging, syntactic parsing and machine translation, etc …

Text stemming is one of the basic preprocessing step for Natural Language Processing
applications which is used to transform different word forms into a standard root form. For …

Retrieving relevant documents from a large set using the original query is a formidable
challenge. A generic approach to improve the retrieval process is realized using pseudo …

The exponential increase in textual unstructured digital data creates significant demand for
advanced and smart stemming systems. As a preprocessing stage, stemming is applied in …

With the advent of globalization epoch, the Internet-based resources for Urdu are increasing
in depth and breadth at a higher pace than ever and thus require a mechanism for …

Urdu language written in English alphabets for communication is known as Roman Urdu. In
pronunciation, both are the same but different in spelling and have different shapes of the …

With rapid and vast publishing of news over the Internet, there is a surge of interest to detect
underlying hot events from online news streams. There are two main challenges in event …

For many languages and applications, even though enough data is available for training
Named Entity Disambiguation (NED) systems, few off-the-shelf models are available for use …

3. Prepis muze být rozdelen do vıce souboru. Soubory pak musı být vzestupne ocıslovány a
název souboru pak musı koncit cıslem souboru.(Naprıklad: Rozhovor s Janem Sokolem 1 …

Stemming is an essential step in various Natural Language Processing (NLP) applications
and is used to reduce different variants of the query words to a standard form to avoid the …