<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462022000200989</article-id>
<article-id pub-id-type="doi">10.13053/cys-26-2-4058</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Identification of POS Tags for the Khasi Language based on Brill&#8217;s Transformation Rule-Based Tagger]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Warjri]]></surname>
<given-names><![CDATA[Sunita]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pakray]]></surname>
<given-names><![CDATA[Partha]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lyngdoh]]></surname>
<given-names><![CDATA[Saralin A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Maji]]></surname>
<given-names><![CDATA[Arnab Kumar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,North-Eastern Hill University Department of Information Technology ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>India</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,National Institute of Technology Department of Computer science and Engineering ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>India</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,North-Eastern Hill University Department of Linguistics ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>India</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2022</year>
</pub-date>
<volume>26</volume>
<numero>2</numero>
<fpage>989</fpage>
<lpage>1005</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462022000200989&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462022000200989&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462022000200989&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Khasi is a Mon-Khmer language that belongs to the Austro-Asiatic language family. Khasi language is spoken by the indigenous people of the state Meghalaya in the North-Eastern part of India. The main purpose of this paper is to develop Part-of-Speech (PoS) tagger for the Khasi language using a Rule-based approach. To work on POS tagging, one needs a grammatically tagged corpus. However, the Khasi language does not have a standard corpus for PoS tagging. Therefore, another aim or purpose of this paper is to develop a Khasi lexicon or POS corpus and using the Rule-Based Brill&#8217;s Transformation to automatically tag the given Khasi text. While anticipating the challenges in building such a corpus, this paper has brought out an analysis based on the Khasi corpus of around 1,03,998 words in its initial phase. We also show in this paper how the Khasi corpus is created. By using Brill&#8217;s Transformation rule-based learning on the created corpus in this preliminary study, accuracies of 97.73% and 95.52% were obtained on validating data and testing data respectively. This work is the first attempt to investigate POS tagging using the rule-based model with the designed Khasi POS corpus.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Natural language processing (NLP)]]></kwd>
<kwd lng="en"><![CDATA[computational linguistic]]></kwd>
<kwd lng="en"><![CDATA[part-of-speech (PoS)]]></kwd>
<kwd lng="en"><![CDATA[PoS tagging]]></kwd>
<kwd lng="en"><![CDATA[Khasi language]]></kwd>
<kwd lng="en"><![CDATA[Khasi corpus]]></kwd>
<kwd lng="en"><![CDATA[lexical morphology]]></kwd>
<kwd lng="en"><![CDATA[transformation rule-based tagging]]></kwd>
</kwd-group>
</article-meta>
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