Generation of UNL Attributes and Resolving Relations for Bangla EnConverter

Autor:	Ghulam Farooque Ahmed, Md. Shamsujjoha, Mohammad Ameer Ali, Md. Nawab Yousuf Ali, Md. Sarwar Kamal
Rok vydání:	2017
Předmět:	Bengali Computer science business.industry language Artificial intelligence computer.software_genre business computer language.human_language Natural language processing
Zdroj:	International Journal of Artificial Life Research. 7:21-37
ISSN:	1947-3079 1947-3087
Popis:	Conversion of Bangla language to another native language and another language to Bangla language using Universal Networking Language (UNL) is highly demanding due to rapidly increasing the usage of Internet-based applications. UNL has been used by various researchers as an inter-lingual approach for an Automated Machine Translation (AMT) scheme. This article presents a novel work on construction of EnConverter for Bangla language with a special focus on generation of UNL attributes and resolving relations of Bangla text. The architecture of Bangla EnConverter, algorithms for understanding the Bangla input sentence; resolution of UNL relations; and attributes for Bangla text/language are also explained in this article. This article highlights the analysis rules for EnConverter and indicates its usage in generation of UNL expressions. This article presents the results of implementation of Bangla EnConverter and compares these with the system available at Russian and English Language Server.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7769fd48ad4de06008bdf1aa42a48be5 https://doi.org/10.4018/ijalr.2017070102 Zobrazit plný text záznamu