# JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English

## TL;DR

This paper describes a character-based neural machine translation system for Finnish to English news translation, detailing preprocessing, system design, and achieving a BLEU score of 12.9 at WMT 2018.

## Contribution

It introduces a character-based NMT model specifically tailored for Finnish-English news translation, with detailed system description and evaluation.

## Key findings

- Achieved BLEU score of 12.9 on WMT 2018 News Translation task.
- Detailed preprocessing and system architecture for Finnish-English translation.
- Demonstrated effectiveness of character-based NMT in news translation.

## Abstract

In the current work, we present a description of the system submitted to WMT 2018 News Translation Shared task. The system was created to translate news text from Finnish to English. The system used a Character Based Neural Machine Translation model to accomplish the given task. The current paper documents the preprocessing steps, the description of the submitted system and the results produced using the same. Our system garnered a BLEU score of 12.9.