Quick search
Advanced search in
Field to searchTerm
Add rule
Download Results
6 research outcomes, page 1 of 1
  • publication . Article . 2009
    Open Access Persian
    Authors:
    Hamid Alizadeh; Rahmatullah Fattahi; Mohammad Reza Davar panah;
    Publisher: Iranian Research Institute for Information and Technology

    In this paper the impact scope of Natural Language Processing (NLP) on translating search statements was determined by testing out research hypotheses. The NLP techniques employed for search statement processing included text parsing, linguistic forms identification, st...

  • publication . Article . 2018
    Open Access Persian
    Authors:
    Mojtaba Zali; Mohsen Firoozbakht;
    Publisher: Iranian Research Institute for Information and Technology

    Named Entity Recognition (NER) is a fundamental task in natural language processing and also known as a subset of information extraction. We seek to locate and classify named entities in text into predefined categories such as the names of persons, organizations, locati...

  • publication . Article . 2020
    Open Access Persian
    Authors:
    Atefeh kalantari; Abdolrasool Jowkar; Seyed Mostafa Fakhrahmad; Javad Abbaspour; Hajar Sotudeh; Massoud Mortazavi; Amir Javadi; Zahra Pourbahman;
    Publisher: Iranian Research Institute for Information and Technology

    Keyword and phrase extraction is a prerequisite of many natural language processing tasks. However, a review on the related Persian and English literature showed that a few studies have already been done on how to extract keywords and phrases from Persian texts. Thus, A...

  • publication . Article . 2019
    Open Access Persian
    Authors:
    Masood Ghayoomi;
    Publisher: Iranian Research Institute for Information and Technology

    A word is the smallest unit in the language that has 'form' and 'meaning'. The word might have more than one meaning in which its exact meaning is determined according to the context it is appeared. Collecting all words’ senses manually is a tedious and time consuming t...

  • publication . Article . 2018
    Open Access Persian
    Authors:
    Tayyebeh Hosseinikhah; Abbas Ahmadi; Azadeh Mohebi;
    Publisher: Iranian Research Institute for Information and Technology

    A significant amount of available information is stored in textual databases which contains a large collection of documents from different sources (such as news, articles, books, emails and web pages). The increasing visibility and importance of this class of informatio...

  • publication . Article . 2021
    Open Access Persian
    Authors:
    Ramin Fatourechi; Saeedeh Momtazi;
    Publisher: Iranian Research Institute for Information and Technology

    The progress of communications over internet media such as social media and messengers has led to the production of large amount of textual data. This kind of information contains a lot of valuable knowledge and can be used to improve the performance of other NLP[1] tas...

6 research outcomes, page 1 of 1