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Machine Translation

Machine translation is the task of translating a sentence in a source language to a different target language.

Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.

One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.

( Image credit: Google seq2seq )

Papers

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Showing 9001–9050 of 10752 papers

TitleStatusHype
ONTS: ``Optima'' News Translation System—0
On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs—0
On Using Linked Data for Language Resource Sharing in the Long Tail of the Localisation Market—0
On Using Monolingual Corpora in Neural Machine Translation—0
On Vision Features in Multimodal Machine Translation—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
Open-domain Utterance Generation for Conversational Dialogue Systems using Web-scale Dependency Structures—0
Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak—0
OpenLogos Semantico-Syntactic Knowledge-Rich Bilingual Dictionaries—0
Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)—0
OpenNMT: Open-source Toolkit for Neural Machine Translation—0
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU—0
OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models—0
Open-Source Large Language Models as Multilingual Crowdworkers: Synthesizing Open-Domain Dialogues in Several Languages With No Examples in Targets and No Machine Translation—0
OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora—0
Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases—0
Opportunities for Human-centered Evaluation of Machine Translation Systems—0
OPPO's Machine Translation System for the IWSLT 2020 Open Domain Translation Task—0
OPPO’s Machine Translation Systems for WMT20—0
Optical Text Recognition in Nepali and Bengali: A Transformer-based Approach—0
Optimal Beam Search for Machine Translation—0
Fine-Tuning Adaptive Stochastic Optimizers: Determining the Optimal Hyperparameter ε via Gradient Magnitude Histogram Analysis—0
Optimal Mini-Batch Size Selection for Fast Gradient Descent—0
Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages—0
Optimising the Machine Translation Post-editing Workflow—0
Optimization for Efficient Determination of Chunk in Automatic Evaluation for Machine Translation—0
Optimization for Statistical Machine Translation: A Survey—0
Optimization Strategies for Online Large-Margin Learning in Machine Translation—0
Optimized Online Rank Learning for Machine Translation—0
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection—0
Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation—0
Optimizing example selection for retrieval-augmented machine translation with translation memories—0
Optimizing for Sentence-Level BLEU+1 Yields Short Translations—0
Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability—0
Optimizing Non-Autoregressive Transformers with Contrastive Learning—0
Optimizing Segmentation Granularity for Neural Machine Translation—0
Optimizing Segmentation Strategies for Simultaneous Speech Translation—0
Optimizing transformer-based machine translation model for single GPU training: a hyperparameter ablation study—0
Optimizing Transformer for Low-Resource Neural Machine Translation—0
Optimizing Word Alignments with Better Subword Tokenization—0
OPT: Oslo--Potsdam--Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing—0
OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning—0
OPUS-MT – Building open translation services for the World—0
Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models—0
Scrambled Translation Problem: A Problem of Denoising UNMT—0
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning—0
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance—0
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation—0
Original-Transcribed Text Alignment for Manyosyu Written by Old Japanese Language—0
Orthogonality of Syntax and Semantics within Distributional Spaces—0
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All datasetsWMT2014 English-GermanWMT2014 English-FrenchIWSLT2014 German-EnglishACESWMT2016 English-RomanianWMT2016 Romanian-EnglishWMT2014 German-EnglishIWSLT2015 German-EnglishWMT2016 English-GermanIWSLT2015 English-VietnameseIWSLT2015 English-GermanWMT2016 German-English

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14—Unverified
2Noisy back-translationBLEU score35—Unverified
3Transformer+Rep(Uni)BLEU score33.89—Unverified
4T5-11BBLEU score32.1—Unverified
5BiBERTBLEU score31.26—Unverified
6Transformer + R-DropBLEU score30.91—Unverified
7Bi-SimCutBLEU score30.78—Unverified
8BERT-fused NMTBLEU score30.75—Unverified
9Data Diversification - TransformerBLEU score30.7—Unverified
10SimCutBLEU score30.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4—Unverified
2Noisy back-translationBLEU score45.6—Unverified
3mRASP+Fine-TuneBLEU score44.3—Unverified
4Transformer + R-DropBLEU score43.95—Unverified
5Transformer (ADMIN init)BLEU score43.8—Unverified
6AdminBLEU score43.8—Unverified
7BERT-fused NMTBLEU score43.78—Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5—Unverified
9T5BLEU score43.4—Unverified
10Local Joint Self-attentionBLEU score43.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43—Unverified
2BiBERTBLEU score38.61—Unverified
3Bi-SimCutBLEU score38.37—Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96—Unverified
5DRDABLEU score37.95—Unverified
6Transformer + R-Drop + CutoffBLEU score37.9—Unverified
7SimCutBLEU score37.81—Unverified
8Cutoff+KneeBLEU score37.78—Unverified
9CutoffBLEU score37.6—Unverified
10CipherDAugBLEU score37.53—Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97—Unverified
2MS-COMET-22Score19.89—Unverified
3MS-COMET-QE-22Score19.76—Unverified
4KG-BERTScoreScore17.28—Unverified
5metricx_xl_DA_2019Score17.17—Unverified
6COMET-QEScore16.8—Unverified
7COMET-22Score16.31—Unverified
8UniTE-srcScore15.68—Unverified
9UniTE-refScore15.38—Unverified
10metricx_xxl_DA_2019Score15.24—Unverified