# Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation

arXiv: https://arxiv.org/abs/1806.05559 · HTML: https://mlsanity.com/paper/1806.05559/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Jun 2018.

## Built on by (most cited first, 1 of 1)

- [Paraphrastic Representations at Scale](https://mlsanity.com/paper/2104.15114/) (2021)

## Abstract (arXiv)

Parallel sentence extraction is a task addressing the data sparsity problem found in multilingual natural language processing applications. We propose a bidirectional recurrent neural network based approach to extract parallel sentences from collections of multilingual texts. Our experiments with noisy parallel corpora show that we can achieve promising results against a competitive baseline by removing the need of specific feature engineering or additional external resources. To justify the utility of our approach, we extract sentence pairs from Wikipedia articles to train machine translation systems and show significant improvements in translation performance.