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OpenITI NgramReader+

Authors: Romanov, Maxim;

OpenITI NgramReader+

Abstract

Like Google Ngram Viewer (https://books.google.com/ngrams), OpenITI NgramReader+ charts diachronic frequencies of words and phrases, using the data of the OpenITI corpus (Arabic data only). Unlike Google Ngram Viewer, however, OpenITI NgramReader+ allows one to combine ngrams, which helps to combine different morphological forms together, and to explore classes of objects. Why to combine forms? Arabic morphology is complex and the same word can appear in a large variety of forms: for example, kitāb, al-kitāb, wa-kitāb, wa-l-kitāb are instances of the same lemma and one might want to combine all or only some forms into a single entity. OpenITI NgramReader+ allows one to do that with regular expressions. This approach also allows one to create thematic clusters of words. For example, one can combine Baġdād and Madīnaŧ al-salām in order to get all mentions of the ʿAbbāsid capital; or, to combine together all cities of Ḫurāsān in order to gauge frequencies of references to Ḫurāsān in general. There are three versions of the OpenITI NgramReader+: Lite (al-Ṣuġrá) includes only unigrams with frequencies 3 and higher; Medium (al-Wusṭá) includes unigrams (5 and higher) and bigrams (10 and higher); Full (al-Kubrá) includes unigrams (3 and higher) and bigrams (5 and higher); The Lite version of the application is available online at: https://maximromanov.shinyapps.io/OpenITI_NgramReaderPlus_Lite/.

Keywords

Arabic, OpenITI, Classical Arabic, Open Islamicate Texts Initiative, Ngram Viewer, Corpus Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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