Paradigm-Based Morphological Analyzer for the Gujarati Language

Shah, Dikshan N.; Bhadka, Harshad

doi:10.1007/978-981-13-8618-3_50

Cited by 2 publications

(1 citation statement)

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“…On the other hand, some scholars like Sivan have tried to compare the existing (corpus-based, rule-based, stemmer based, paradigm based, finite state automata and transducer-based) morphological analyzers and notice the reliability for Malayalam [6]. But it points out that the paradigm approach of morphological analyzer increases 84.50%, 81.50% and 80.50% accuracy for nouns, verbs and adjectives, respectively [7].…”

Section: Related Workmentioning

confidence: 99%

(Un) Identified Lexemes: A First Glance at Punjabi Morphological Analyzer

Singh

2023

ijarcs

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The paper presents a small survey on Punjabi morphological analyzer and generator, which does not give any morphological response to lexemes of Malawi dialect of Punjabi. This analyzer works well with the standard variety only. However, it fails to provide an answer when the input is colloquial. The random choice of approximately, (42 words/lexemes, e.g. ਕਾਤੋਂ/ ‘why’, ਉਂਈ/ ‘thus’, ਭੁੰਨਹੋਣਾ/ ‘Unbearable’, ਥੁੰਨੀ/ ‘eating’, ਅੜੀ/ ‘stubborn’, ਭਨਾਲੀ/ ‘breaking’, ਮੰਨਲਾ/ ‘suppose’, ਖਿਜੀ/ ‘annoying’ etc.) is not trained either for the analyzer nor the generator. They are unidentified and unrecognized. In this regard, the schemes of SGMA (similar guidelines for morphological analyzer) or SMGMA (similar but modified guidelines for morphological analyzer) could adopt for booming the performance of Punjabi morphological analyzer and widening its scope in the future.

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Section: Related Workmentioning

confidence: 99%