Difference between revisions of "Dhivehi and English/Final project"
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* GitHub: https://github.com/nav6maini/Dhivehi-RBMT-and-ONMT | * GitHub: https://github.com/nav6maini/Dhivehi-RBMT-and-ONMT | ||
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| + | ==Background== | ||
Dhivehi is a language with limited technological resources. Currently there are online Dhivehi-English dictionaries and various keyboard layouts. However, the dictionaries are not comprehensive. There is no existing machine translation system for Dhivehi to English. For this project, we explored two approaches to Dhivehi-English machine translation - rule-based machine translation and neural machine translation. | Dhivehi is a language with limited technological resources. Currently there are online Dhivehi-English dictionaries and various keyboard layouts. However, the dictionaries are not comprehensive. There is no existing machine translation system for Dhivehi to English. For this project, we explored two approaches to Dhivehi-English machine translation - rule-based machine translation and neural machine translation. | ||
| + | |||
| + | ==Motivation/Goal== | ||
Building a robust Dhivehi-English machine translation system would be beneficial to the Dhivehi language community by connecting them to the English language through technology. In addition, it will be beneficial for language learner of Dhivehi or English. It also promotes Dhivehi. Our goal is to explore rule-based machine translation and neural machine translation for Dhivehi-English. We will examine the advantages and disadvantages of both approaches. | Building a robust Dhivehi-English machine translation system would be beneficial to the Dhivehi language community by connecting them to the English language through technology. In addition, it will be beneficial for language learner of Dhivehi or English. It also promotes Dhivehi. Our goal is to explore rule-based machine translation and neural machine translation for Dhivehi-English. We will examine the advantages and disadvantages of both approaches. | ||
| + | |||
| + | ==Methods== | ||
| + | |||
| + | Using Apertium, we studied the grammatical structure of Dhivehi | ||
| + | and wrote various rules (phonological, syntactic, etc.) that map | ||
| + | Dhivehi to English. | ||
Revision as of 00:29, 15 May 2019
Dhivehi RBMT and ONMT
Background
Dhivehi is a language with limited technological resources. Currently there are online Dhivehi-English dictionaries and various keyboard layouts. However, the dictionaries are not comprehensive. There is no existing machine translation system for Dhivehi to English. For this project, we explored two approaches to Dhivehi-English machine translation - rule-based machine translation and neural machine translation.
Motivation/Goal
Building a robust Dhivehi-English machine translation system would be beneficial to the Dhivehi language community by connecting them to the English language through technology. In addition, it will be beneficial for language learner of Dhivehi or English. It also promotes Dhivehi. Our goal is to explore rule-based machine translation and neural machine translation for Dhivehi-English. We will examine the advantages and disadvantages of both approaches.
Methods
Using Apertium, we studied the grammatical structure of Dhivehi and wrote various rules (phonological, syntactic, etc.) that map Dhivehi to English.
