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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1101–1150 of 1773 papers

TitleStatusHype
The HW-TSC Video Speech Translation System at IWSLT 2020—0
The IIT Bombay English-Hindi Parallel Corpus—0
The impact of translation competence on error recognition of neural MT—0
The Implicit Length Bias of Label Smoothing on Beam Search Decoding—0
The LAIX Systems in the BEA-2019 GEC Shared Task—0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation—0
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT—0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task—0
The MeMAD Submission to the WMT18 Multimodal Translation Task—0
The Missing Ingredient in Zero-Shot Neural Machine Translation—0
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text—0
The NiuTrans Machine Translation Systems for WMT19—0
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results—0
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs—0
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering—0
The RWTH Aachen Machine Translation Systems for IWSLT 2017—0
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018—0
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?—0
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020—0
The Sogou-TIIC Speech Translation System for IWSLT 2018—0
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach—0
The Transference Architecture for Automatic Post-Editing—0
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task—0
The University of Tokyo’s Submissions to the WAT 2020 Shared Task—0
The USYD-JD Speech Translation System for IWSLT 2021—0
The USYD-JD Speech Translation System for IWSLT2021—0
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation—0
Tilde's Machine Translation Systems for WMT 2019—0
TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications—0
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog—0
TMU Japanese-Chinese Unsupervised NMT System for WAT 2018 Translation Task—0
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022—0
TMU NMT System with Japanese BART for the Patent task of WAT 2021—0
Token-wise Curriculum Learning for Neural Machine Translation—0
Tokyo Metropolitan University Neural Machine Translation System for WAT 2017—0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation—0
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing—0
Topic-Informed Neural Machine Translation—0
Toward a full-scale neural machine translation in production: the Booking.com use case—0
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models—0
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder—0
Towards better translation performance on spoken language—0
Towards Compact and Fast Neural Machine Translation Using a Combined Method—0
Towards Decoding as Continuous Optimisation in Neural Machine Translation—0
Towards Decoding as Continuous Optimization in Neural Machine Translation—0
Towards Effective Disambiguation for Machine Translation with Large Language Models—0
Towards Enhancing Faithfulness for Neural Machine Translation—0
Towards Full Utilization on Mask Task for Distilling PLMs into NMT—0
Towards Linear Time Neural Machine Translation with Capsule Networks—0
Towards Neural Machine Translation for Edoid Languages—0
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