SOTAVerified

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 8851–8900 of 10752 papers

TitleStatusHype
NTT Neural Machine Translation Systems at WAT 2019—0
NTT's Machine Translation Systems for WMT19 Robustness Task—0
NTT's Neural Machine Translation Systems for WMT 2018—0
NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge—0
Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition—0
NUIG at TIAD: Combining Unsupervised NLP and Graph Metrics for Translation Inference—0
NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity—0
Nunc profana tractemus. Detecting Code-Switching in a Large Corpus of 16th Century Letters—0
NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models—0
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21—0
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022—0
NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21—0
NYU-MILA Neural Machine Translation Systems for WMT'16—0
Obituary: Charles J. Fillmore—0
Obituary: In Memoriam: Susan Armstrong—0
Obituary: Victor H. Yngve—0
Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena—0
Obtaining SMT dictionaries for related languages—0
OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser—0
OCR and Automated Translation for the Navigation of non-English Handsets: A Feasibility Study with Arabic—0
OCR, Classification & Machine Translation (OCCAM)—0
OCR Improves Machine Translation for Low-Resource Languages—0
Octanove Labs' Japanese-Chinese Open Domain Translation System—0
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation—0
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation—0
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation—0
Offline Sentence Processing Measures for testing Readability with Users—0
Off-the-Shelf Unsupervised NMT—0
Okapi+QuEst: Translation Quality Estimation within Okapi—0
OkwuGbé: End-to-End Speech Recognition for Fon and Igbo—0
Omnifluent English-to-French and Russian-to-English Systems for the 2013 Workshop on Statistical Machine Translation—0
Omorfi --- Free and open source morphological lexical database for Finnish—0
OMWEdit - The Integrated Open Multilingual Wordnet Editing System—0
On a novel training algorithm for sequence-to-sequence predictive recurrent networks—0
On A Strictly Convex IBM Model 1—0
On Complex Word Alignment Configurations—0
On Compositionality in Neural Machine Translation—0
On Context Span Needed for Machine Translation Evaluation—0
On Controllable Sparse Alternatives to Softmax—0
On Decoding Strategies for Neural Text Generators—0
On-Demand Distributional Semantic Distance and Paraphrasing—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
``One Entity per Discourse'' and ``One Entity per Collocation'' Improve Named-Entity Disambiguation—0
InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model—0
One Model to Learn Both: Zero Pronoun Prediction and Translation—0
One Sentence One Model for Neural Machine Translation—0
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities—0
One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages—0
One Step Closer to Automatic Evaluation of Text Simplification Systems—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