Sinhalese morphological analysis: a step towards machine processing of Sinhalese

Herath, Susantha; Ikeda, Takashi; Yokoyama, Shinya; Isahara, Hitoshi; Ishizaki, Shun

doi:10.1109/tai.1989.65308

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…Given that Sinhala is a highly inflected language [22,33,38], a proper morphological analysis process is vital. The earliest attempt on Sinhala morphological analysis we have observed are the studies by Herath et al [112,113]. The next attempt by Herath et al [114] creates a modular unit structure for morphological analysis of Sinhala.…”

Section: Morphological Analyzersmentioning

confidence: 99%

“…But even with the obvious lack of resources and tools, a number of attempts have been made on semantic level applications for the Sinhala Language. The earliest attempt on semantic analysis was done by Herath et al [136] using their earlier work which dealt with Sinhala morphological analysis [112]. A Sinhala semantic similarity measure has been developed for short sentences by Kadupitiya et al [137].…”

Section: Semantic Toolsmentioning

confidence: 99%

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Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Silva¹

2019

Preprint

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Sinhala is the native language of the Sinhalese people who make up the largest ethnic group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo-European. However, due to poverty in both linguistic and economic capital, Sinhala, in the perspective of Natural Language Processing tools and research, remains a resource-poor language which has neither the economic drive its cousin English has nor the sheer push of the law of numbers a language such as Chinese has. A number of research groups from Sri Lanka have noticed this dearth and the resultant dire need for proper tools and research for Sinhala natural language processing. However, due to various reasons, these attempts seem to lack coordination and awareness of each other. The objective of this paper is to fill that gap of a comprehensive literature survey of the publicly available Sinhala natural language tools and research so that the researchers working in this field can better utilize contributions of their peers. As such, we shall be uploading this paper to arXiv and perpetually update it periodically to reflect the advances made in the field.

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Section: Morphological Analyzersmentioning

confidence: 99%

Section: Semantic Toolsmentioning

confidence: 99%

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Silva¹

2019

Preprint

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“…In this entry, the information is the concept name 'cat' (Ishizaki et al 1989). It shows the correspondence between a Sinhalese word and a concept.…”

Section: The Dictionarymentioning

confidence: 99%

Analysis system for Sinhalese unit structure

Herath

Ikeda

Ishizaki³

et al. 1992

Journal of Experimental & Theoretical Artificial Intelligen

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Sinhalese is the major language in Sri Lanka, spoken by 15 million people. It has never been analysed by a computer. The paper describes an original computational linguistic analysis for Sinhalese. A machine representation of Sinhalese script is developed. It provides an easy means of input and facilitates the formalization of the linking phenomena. An analysis sytem for Sinhalese morphology is developed. A Sinhalese sentence consists of a few units separated by spaces. The unit structure is formalized as a root and suffixes. Connection rules and linking rules are developed. The grammatical features of a unit are characterized by a set of attributes, and a mechanism to compute these attributes is developed from the features of the root and suffixes. The unit structure involves much important grammatical information such as case and attributes. The analyser can handle any kind of Sinhalese unit efficiently. The system will be used as the base for machine processing of Sinhalese, its syntactic and semantic analysis, and other applications.

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“…A phrase is a syntactical category composed by units. Unlike in English, positional information is of no help in establishing phrase relations; but 9 cases (Herath et al 1989) of the nouns, such as nominative case for subject and accusative for object, and verb attributes of gender, number, and person are useful in identifying the relations between noun phrases and a verb phrase. Thus, sentence patterns like those having double objects in English are handled easily by the cases in Sinhalese.…”

Section: Introductionmentioning

confidence: 99%

Machine Processing of Sinhala Natural Language: A Step Toward Intelligent Systems

Herath

Ishizaki²,

Ikeda³

et al. 1991

Cybernetics and Systems

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An intelligent machine can be thought of as a human friendly machine system that identifies or understands the problems of generating tasks, developing plans. compiling and executing the tasks automatically. High performance dependable intelligent systems must understand and translate natural languages. The translation of natural languages for intelligent systems has been one of the most challenging problems in intelligent systems from the very beginning. It is the Iresponsibility of a translation system to assign the responsibility of task. generation ability of the machine to automate a program generation.In this paper, the problem of advanced machine translation capabilities is approached by examining the Sinhala natural language. Sinhalese has not been analyzed using computational linguistics. Our earlier system on Sinhalese morphology is the first attempt of such a study. This paper extends it to syntactic and semantic analysis. We formalize grammar rules for unit, phrase, clause and sentence, and developed a semantically characteristic Sinhalese dictionary, and a conceptual dictionary based on English. Japanese, and Sinhalese. Syntactic and semantic analyses are implemented on the computer and sound experimental results are obtained.

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Sinhalese morphological analysis: a step towards machine processing of Sinhalese

Cited by 7 publications

References 2 publications

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Analysis system for Sinhalese unit structure

Machine Processing of Sinhala Natural Language: A Step Toward Intelligent Systems

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