To facilitate the task of reading and searching information, it became necessary to find a way
to reduce the size of documents without affecting the content. The solution is in Automatic …

Named entity recognition is a natural language processing task to recognize and extract
spans of text associated with named entities and classify them in semantic Categories …

With the growth of Internet usage, a massive amount of textual data is generated on social
media and the Web. As the text on the Web are generated by different authors with various …

Abstract The goal of Hindi/Urdu treebanking project is to build multi-layered treebanks that
will provide both syntactic and semantic annotations. In the past two decades, dozens of …

This paper discusses the main challenges and open problems in processing Persian texts.
Persian is among less resourced, less studied languages from computational point of view. It …

We investigate the impact of social media data in predicting the Tehran Stock Exchange
variables for the first time. We consider the closing price and daily return of three different …

Producing electronic rather than paper documents has considerable benefits such as easier
organizing and data management. Therefore, existence of automatic writing assistance tools …

Despite having a large number of speakers, Sorani—one of the two principle branches of
the Kurdish language—is among the less-resourced languages. This paper reports on the …

Wordnets are an effective resource for natural language processing and information
retrieval, especially for semantic processing and meaning related tasks. So far, wordnets …

Abstract Seraji, M. 2015. Morphosyntactic Corpora and Tools for Persian. Studia Linguistica
Upsaliensia 16. 191 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9229-8 …