A Grammar-Driven Approach for Parsing Manipuri Language

Nirmal, Yumnam; Sharma, Utsav

doi:10.1007/978-3-030-34872-4_30

Cited by 3 publications

(2 citation statements)

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“…Whereas, in the case of Manipuri, quantifiers always follow a head noun, while adjectives can either precede or succeed a head noun. Another notable works reported on CFG based parsing of Manipuri is that of Nirmal and Sharma [5,6]. Sarangthem and Singh [7] also reported a work focused on developing an abstract data structure for Manipuri noun phrases.…”

Section: Literature Reviewmentioning

confidence: 99%

An Initial Study of Tree-Adjoining Grammar Formalism for Parsing Manipuri Language

Nirmal¹,

Sharma²

2021

IJCATR

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We present an initial study into the representation of tree-adjoining grammar formalism for parsing Manipuri language. Being a low resource and computationally less researched language, it is difficult to achieve a natural language parser for Manipuri. Treebanks, which are the main requirement for inducing data-driven parsers, are not available for Manipuri. In this paper, we present an extensive analysis of the Manipuri language structure and formulate a lexicalized tree-adjoining grammar. A generalized structure of Manipuri phrases, clauses and the structure of basic and derived sentences have been presented. The sentence types covered in our analysis are that of simple, compound and complex sentences. Using the tree-adjoining grammar we have formulated, one can implement a Manipuri parser whose results can be of immense help in creating a Treebank for Manipuri.

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Section: Literature Reviewmentioning

confidence: 99%

An Initial Study of Tree-Adjoining Grammar Formalism for Parsing Manipuri Language

Nirmal¹,

Sharma²

2021

IJCATR

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“…Recent work on Manipuri syntactic parsing is that of Nirmal and Sharma (2019) where the authors present a grammar-driven approach using Earley's algorithm covering simple, compound and complex sentences. The authors presented a general structure for Manipuri sentences, but all the possible instances of the compound and complex sentences have not been covered.…”

Section: Related Workmentioning

confidence: 99%

A Context-Free Grammar for Parsing Manipuri Language

Nirmal¹,

Sharma²

2021

Journal of Computer Science

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Parsing, i.e., identifying the underlying hierarchical structure of natural language expressions is important for several natural language processing applications. In recent times Machine Learning (ML) approaches have been developed for this study for many languages. Most of the effective techniques require an annotated corpus of the language for training and validation. For the Manipuri language of the Tibeto-Burman family, neither such a corpus nor a grammar framework to automatically analyse and represent the structure of sentences exists yet. This study proposes a context-Free Grammar (CFG) that provides the framework to represent the structure of Manipuri sentences. This paves the way for parsing Manipuri sentences using CFG-based parsers for various applications and to conveniently build a Treebank for developing ML-based parsers for Manipuri. The rules of the proposed CFG are handcrafted after extensive analysis of the structure of Manipuri sentences. The grammar covers simple, compound, complex and compound-complex sentences. For evaluation, we induce an Earley's parser with the proposed CFG and test it over a collection of sentences that covers the possible varieties of structure. A recognition rate of 83.20% achieved in these experiments indicates the effectiveness of the proposed grammar.

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Manipuri–English comparable corpus for cross-lingual studies

Laitonjam

Singh

2022

Lang Resources & Evaluation

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A Grammar-Driven Approach for Parsing Manipuri Language

Cited by 3 publications

References 2 publications

An Initial Study of Tree-Adjoining Grammar Formalism for Parsing Manipuri Language

An Initial Study of Tree-Adjoining Grammar Formalism for Parsing Manipuri Language

A Context-Free Grammar for Parsing Manipuri Language

Manipuri–English comparable corpus for cross-lingual studies

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