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"

35 / 35 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 47 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 34 2 0 12 Oct 2024
Cogs in a Machine, Doing What They're Meant to Do -- The AMI Submission to the WMT24 General Translation Task Atli Jasonarson Hinrik Hafsteinsson Bjarki Ármannsson Steinþór Steingrímsson SyDa 32 2 0 04 Oct 2024
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale Haoran Xu Kenton W. Murray Philipp Koehn Hieu T. Hoang Akiko Eriguchi Huda Khayrallah 29 7 0 04 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 28 1 0 02 Jul 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning E. Chimoto Jay Gala Orevaoghene Ahia Julia Kreutzer Bruce A. Bassett Sara Hooker VLM 39 4 0 29 May 2024
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation Juhwan Choi Jungmin Yun Kyohoon Jin Youngbin Kim 32 4 0 15 Apr 2024
Adaptative Bilingual Aligning Using Multilingual Sentence Embedding Olivier Kraif 20 0 0 18 Mar 2024
SentAlign: Accurate and Scalable Sentence Alignment Steinþór Steingrímsson H. Loftsson Andy Way 20 7 0 15 Nov 2023
Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text Isaac Caswell Lisa Wang Isabel Papadimitriou 26 0 0 11 Nov 2023
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering Jan-Thorsten Peter David Vilar Daniel Deutsch Mara Finkelstein Juraj Juraska Markus Freitag 9 16 0 09 Nov 2023
An Investigation of Noise in Morphological Inflection Adam Wiemerslage Changbing Yang Garrett Nicolai Miikka Silfverberg Katharina Kann 25 2 0 26 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 34 2 0 23 May 2023
Dissociating language and thought in large language models Kyle Mahowald Anna A. Ivanova I. Blank Nancy Kanwisher J. Tenenbaum Evelina Fedorenko ELM ReLM 29 209 0 16 Jan 2023
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? Pei Zhang Baosong Yang Hao-Ran Wei Dayiheng Liu Kai Fan Luo Si Jun Xie 21 3 0 25 Nov 2022
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages Idris Abdulmumin Michael Beukman Jesujoba Oluwadara Alabi Chris C. Emezue Everlyn Asiko ... Shamsuddeen Hassan Muhammad Mofetoluwa Adeyemi Oreen Yousuf Sahib Singh T. Gwadabe 31 6 0 19 Oct 2022
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation Nishant Kambhatla Logan Born Anoop Sarkar 13 16 0 01 Apr 2022
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future Joyjit Chatterjee Nina Dethlefs 26 83 0 30 Mar 2022
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? E. Lee Sarubi Thillainathan Shravan Nayak Surangika Ranathunga David Ifeoluwa Adelani Ruisi Su Arya D. McCarthy VLM 21 43 0 16 Mar 2022
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models José Carlos Rosales Núnez Guolong Su Djamé Seddah 17 8 0 24 Oct 2021
Improving Arabic Diacritization by Learning to Diacritize and Translate Brian Thompson A. Alshehri 32 10 0 29 Sep 2021
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach Víctor M. Sánchez-Cartagena M. Esplà-Gomis Juan Antonio Pérez-Ortiz Felipe Sánchez-Martínez 42 27 0 08 Sep 2021
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation Bryan Eikema Wilker Aziz 26 45 0 10 Aug 2021
Robust Embeddings Via Distributions Kira A. Selby Yinong Wang Ruizhe Wang Peyman Passban Ahmad Rashid Mehdi Rezagholizadeh Pascal Poupart OOD 27 3 0 17 Apr 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 17 85 0 14 Apr 2021
Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation Tahmid Hasan Abhik Bhattacharjee Kazi Samin Mubasshir Masum Hasan Madhusudan Basak M. Rahman Rifat Shahriyar VLM 15 72 0 20 Sep 2020
Data Weighted Training Strategies for Grammatical Error Correction Jared Lichtarge Chris Alberti Shankar Kumar 15 46 0 07 Aug 2020
The Unreasonable Volatility of Neural Machine Translation Models Marzieh Fadaee Christof Monz 20 16 0 25 May 2020
Translationese as a Language in "Multilingual" NMT Parker Riley Isaac Caswell Markus Freitag David Grangier 24 42 0 10 Nov 2019
Low-Resource Corpus Filtering using Multilingual Sentence Embeddings Vishrav Chaudhary Y. Tang Francisco Guzmán Holger Schwenk Philipp Koehn 18 77 0 20 Jun 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation Wei Wang Isaac Caswell Ciprian Chelba 26 57 0 03 Jun 2019
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? Sorami Hisamoto Matt Post Kevin Duh MIACV SLR 28 106 0 11 Apr 2019
Improving Robustness of Machine Translation with Synthetic Noise Vaibhav Sumeet Singh Craig Alan Stewart Graham Neubig 16 82 0 25 Feb 2019
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation Marzieh Fadaee Christof Monz 14 98 0 27 Aug 2018
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 218 1,208 0 12 Jun 2017