Gujarati
Vyakaran Book/Gujarati Grammar Book by Gk Gujarat
Part 03
The Gujarati language is native to the Indian state of Gujarat. Some estimates suggest that there are about 46.1 million people speaking the Gujarati language all over the world. Similar to the Hindi language, it also belongs to the Indo-Aryan family of languages.
Indian languages like Gujarati, Hindi
etc are morphologically and inflectionally rich. Gujarati is also rich in
morphology but poor in resources. First step in linguistic is to have word
analysis of language. For developing grammar inference system for Indian
language like Gujarati, we must necessarily have lexical analysis at its base.
It is found that there are very less resources and mainly database available
for language processing. It was decided to develop lexicon and rule database
for Gujarati that can be used subsequently. It is a first step to progress
towards the goal of developing sharable database having morphological grammar
rules, and lexicons.
[7]. Study made by them confined to mainly
verbs and their syntactic alternations. Combination of Inflectional and
derivational approach in morphological analysis is applied to design
derivational morphological analyzer. Nikhil, Abhilash and Dipti have presented
the same in their study.
[8]. Derivational rules designed by
studying properties of word suffixes manually in their work. Classes should be
merged into a single class as they take similar inflections .
[9]. Smriti Singh and Vijayanthi
Sarma discuss inflection categories and inflection classes in detail in their
study. The morphological analyzer developed by Vishal and Gurpreet stores all
the commonly used word forms for all Hindi root words in its database.
[10]. Thus, space is a constraint for
this analyzer but the search time is quite low. The morph analyzer developed by
Niraj and Robert extracts a set of suffix replacement rules from a corpus and a
dictionary.
[11]. The rules are applied to an
inflected word to obtain the root word. They show that the process of
developing such rules sets is simple and it can be applied to develop
morphological analyzers of other Indian languages.
[12]. Some of rules are presented for
stemming of gujarati sentence in Gujarati Stemmer
[13]. POS tagging is done by rule
based approach in their study
[14]. We have developed Gujarati lexicon and
grammar rules in form of UNICODE database which can be utilized for NLP.
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/page 102 /size 4 MB / total chapter 28
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page 130 /size 2 MB /
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/page 37 /size 124 kB / Chapter 15
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Gujarati Test - 👉 Click Here Download
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