# Design and Implementation of English To Yor`ub'a Verb Phrase Machine Translation System

arXiv: https://arxiv.org/abs/2104.04125 · HTML: https://mlsanity.com/paper/2104.04125/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 24 references that are in the map.
- First posted on arXiv 9 Apr 2021.

## Builds on (most cited first, 1 of 1)

- [On the Properties of Neural Machine Translation: Encoder-Decoder Approaches](https://mlsanity.com/paper/1409.1259/) (2014)

## Abstract (arXiv)

We aim to develop an English-to-Yoruba machine translation system which can translate English verb phrase text to its Yoruba equivalent.Words from both languages Source Language and Target Language were collected for the verb phrase group in the home domain. The lexical translation is done by assigning values of the matching word in the dictionary. The syntax of the two languages was realized using Context-Free Grammar, we validated the rewrite rules with finite state automata. The human evaluation method was used and expert fluency was scored. The evaluation shows the system performed better than that of sampled Google translation with over 70 percent of the response matching that of the system's output.