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pro vyhledávání: '"K. Sarveswaran"'
This paper presents an open source and extendable Morphological Analyser cum Generator (MAG) for Tamil named ThamizhiMorph. Tamil is a low-resource language in terms of NLP processing tools and applications. In addition, most of the available tools a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ada9d28502d988bda70528136b553fc6
Publikováno v:
IALP
In this paper, we focus on building models for transliteration of personal names between the primary languages of Sri Lanka-namely Sinhala, Tamil and English. Currently, a Rule-based system has been used to transliterate names between Sinhala and Tam
Autor:
Keerthana Uthayamoorthy, K. Sarveswaran, Gihan Dias, Thavarasa Senthaalan, Kirshika Kanthasamy
Publikováno v:
2019 19th International Conference on Advances in ICT for Emerging Regions (ICTer).
DDSpell is a spell checker and suggestion generator for the Tamil language that is developed using a data-driven and language-independent approach. The proposed spell checker and suggestion generator can be used to check non-word errors and canti err
Publikováno v:
FSMNLP
This paper describes a new and larger coverage Finite-State Morphological Analyser (FSM) and Generator for the Dravidian language Tamil. The FSM has been developed in the context of computational grammar engineering, adhering to the standards of the
Publikováno v:
2018 3rd International Conference on Information Technology Research (ICITR).
ThamizhiFST is a Morphological Analyser and Generator (MAG) for Tamil. It was developed to extend the coverage of the computational Tamil grammar being developed using Lexical Functional Grammar (LFG). ThamizhiFST covers the simple verbs in Tamil as
Autor:
Y. Achchuthan, K. Sarveswaran
Publikováno v:
2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer).
Language localisation, where the strings in interface and documentation are translated to a new language, is a rigorous and time consuming task. On the other hand machine translation systems, specifically Statistical Machine Translation (SMT) systems
Autor:
D.A.A.C. Ratnaweera, K. Sarveswaran
Publikováno v:
2007 International Conference on Intelligent and Advanced Systems.
Handwritten character recognition is playing a vital role in many areas of modern world. Even though considerable research work has been done in handwritten character recognition, comparatively fewer efforts have been made on handwritten Tamil charac
Conference
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