Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems by Zhang, Xuan, Duh, Kevin

“…Hyperparameter selection is a crucial part of building neural machine translation (NMT) systems across both academia and industry. …”
Get full text

A Method of Chinese-Vietnamese Bilingual Corpus Construction for Machine Translation by Phuoc Tran, Thien Nguyen, Dinh-Hong Vu, Huu-Anh Tran, Bay Vo

Subjects: “…Chinese-Vietnamese machine translation…”
Get full text

Bridging the gap between machine translation output and images in multimodal documents by Thiago Blanch Pires, Augusto Velloso dos Santos Espindola

Subjects: Get full text

Machine Translation Systems Based on Classical-Statistical-Deep-Learning Approaches by Sonali Sharma, Manoj Diwakar, Prabhishek Singh, Vijendra Singh, Seifedine Kadry, Jungeun Kim

Subjects: “…statistical machine translation (SMT)…”
Get full text

An Analysis of the Evaluation of the Translation Quality of Neural Machine Translation Application Systems by Shanshan Liu, Wenxiao Zhu

“…Neural machine translation (NMT) is applied to generate a more reliable and accurate translation practice as the most cutting-edge technology. …”
Get full text

Pre-Training on Mixed Data for Low-Resource Neural Machine Translation by Wenbo Zhang, Xiao Li, Yating Yang, Rui Dong

Subjects: “…neural machine translation…”
Get full text

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection by Weijia Xu, Sweta Agrawal, Eleftheria Briakou, Marianna J. Martindale, Marine Carpuat

Get full text

Benchmarking Machine Translation Efficacy for Teaching EAP Reading Comprehension Skills by V. Mirzaeian, M. Maghsoudi

Subjects: Get full text

Improving Search-Based Automatic Program Repair With Neural Machine Translation by Dongcheng Li, W. Eric Wong, Mingyong Jian, Yi Geng, Matthew Chau

Subjects: Get full text

Corpus Augmentation for Neural Machine Translation with Chinese-Japanese Parallel Corpora by Jinyi Zhang, Tadahiro Matsumoto

Subjects: Get full text

Onception: Active Learning with Expert Advice for Real World Machine Translation by Vânia Mendonça, Ricardo Rei, Luísa Coheur, Alberto Sardinha

“…Most active learning approaches for Machine Translation assume the existence of a pool of sentences in a source language, and rely on human annotators to provide translations or post-edits, which can still be costly. …”
Get full text

Dealing with the “elephant in the classroom”: Developing language students’ machine translation literacy by Rudy Loock, Sophie Lechauguette, Benjamin Holt

Subjects: Get full text

Neural machine translation system for the Kazakh language based on synthetic corpora by Tukeyev Ualsher, Karibayeva Aidana, Abduali Balzhan

“…This problem seriously impairs the quality of machine translation from and into Kazakh. This article considers the neural machine translation of the Kazakh language on the basis of synthetic corpora. …”
Get full text

PROBLEMS OF PSYCHOLOGICAL SCIENTISIC TEXTS MACHINE TRANSLATION ON THE MATERIAL OF AN INFORMATIONAL BROCHURE by Ksenia V. Antaeva, Yulia S. Elagina

Subjects: Get full text

Apps-based Machine Translation on Smart Media Devices - A Review by Hary Gunarto

Subjects: “…Machine Translation…”
Get full text

Augmenting Neural Machine Translation through Round-Trip Training Approach by Ahmadnia Benyamin, Dorr Bonnie J.

Subjects: Get full text

Evaluating the Output Quality of Machine Translation Systems: Systran 4.0 by Noa Talaván Zanón

Get full text

Machine Translation Quality in Mobile Apps for Text-based Image Translation by Eglė Miltakienė

Subjects: “…machine translation…”
Get full text

Word-Level Quality Estimation for Korean-English Neural Machine Translation by Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim

Subjects: Get full text

Syntactic Transfer for Low-Resource Machine Translation with Contextual Parameter Generation by O'Connor, Joe

“…In this work, I demonstrate a novel method for adapting large pretrained models that involves dynamically generating additional parameters for the model based on an informative representation of the task and show that this method works especially well on the task of low-resource machine translation.…”
Get full text