On the Impact of Various Types of Noise on Neural Machine Translation

31 May 2018

Papers citing "On the Impact of Various Types of Noise on Neural Machine Translation"

9 / 9 papers shown

Title
MultiOCR-QA: Dataset for Evaluating Robustness of LLMs in Question Answering on Multilingual OCR Texts Bhawna Piryani Jamshid Mozafari Abdelrahman Abdallah Antoine Doucet Adam Jatowt 49 1 0 24 Feb 2025
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? HyoJung Han Akiko Eriguchi Haoran Xu Hieu T. Hoang Marine Carpuat Huda Khayrallah VLM 58 2 0 12 Oct 2024
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation Yan Meng Di Wu Christof Monz 64 1 0 02 Jul 2024
Marian: Fast Neural Machine Translation in C++ Marcin Junczys-Dowmunt Roman Grundkiewicz Tomasz Dwojak Hieu T. Hoang Kenneth Heafield ... Ulrich Germann Alham Fikri Aji Nikolay Bogoychev André F. T. Martins Alexandra Birch 70 711 0 01 Apr 2018
Synthetic and Natural Noise Both Break Neural Machine Translation Yonatan Belinkov Yonatan Bisk 96 737 0 06 Nov 2017
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 308 1,215 0 12 Jun 2017
A Convolutional Encoder Model for Neural Machine Translation Jonas Gehring Michael Auli David Grangier Yann N. Dauphin 58 450 0 07 Nov 2016
Improving Neural Machine Translation Models with Monolingual Data Rico Sennrich Barry Haddow Alexandra Birch 198 2,710 0 20 Nov 2015
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 153 7,683 0 31 Aug 2015