← Applications
Natural Language Processing › Applications ›

Machine Translation

4518 directly classified papers

Papers per year

Papers

Recurrent Positional Embedding for Neural Machine Translation EMNLP 2019
Encoders Help You Disambiguate Word Senses in Neural Machine Translation EMNLP 2019
KNU-HYUNDAI’s NMT system for Scientific Paper and Patent Tasks onWAT 2019 EMNLP 2019
Kyoto University Participation to the WMT 2019 News Shared Task ACL 2019
Multimodal Machine Translation with Embedding Prediction NAACL 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications CVPR 2019
Latent Part-of-Speech Sequences for Neural Machine Translation EMNLP 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation EMNLP 2019
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English EMNLP 2019
Mask-Predict: Parallel Decoding of Conditional Masked Language Models EMNLP 2019
INMT: Interactive Neural Machine Translation Prediction EMNLP 2019
Naver Labs Europe’s Systems for the Document-Level Generation and Translation Task at WNGT 2019 EMNLP 2019
Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation EMNLP 2019
Compact and Robust Models for Japanese-English Character-level Machine Translation EMNLP 2019
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation EMNLP 2019
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English EMNLP 2019
NTT Neural Machine Translation Systems at WAT 2019 EMNLP 2019
Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019 EMNLP 2019
Combining Translation Memory with Neural Machine Translation EMNLP 2019
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019 EMNLP 2019
UCSYNLP-Lab Machine Translation Systems for WAT 2019 EMNLP 2019
Multilingual Whispers: Generating Paraphrases with Translation EMNLP 2019
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation EMNLP 2019
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content EMNLP 2019
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-Translation EMNLP 2019