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 5651–5700 of 10752 papers

TitleStatusHype
Source Dependency-Aware Transformer with Supervised Self-Attention—0
Source Language Adaptation Approaches for Resource-Poor Machine Translation—0
Source Language Adaptation for Resource-Poor Machine Translation—0
Source-Language Dictionaries Help Non-Expert Users to Enlarge Target-Language Dictionaries for Machine Translation—0
Source Phrase Segmentation and Translation for Japanese-English Translation Using Dependency Structure—0
Source-Side Classifier Preordering for Machine Translation—0
Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms—0
Source-side Preordering for Translation using Logistic Regression and Depth-first Branch-and-Bound Search—0
SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation—0
SPADE: Evaluation Dataset for Monolingual Phrase Alignment—0
SpanAlign: Efficient Sequence Tagging Annotation Projection into Translated Data applied to Cross-Lingual Opinion Mining—0
Spanish DAL: A Spanish Dictionary of Affect in Language—0
Sparse Backpropagation for MoE Training—0
Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment—0
Sparse Regression for Machine Translation—0
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks—0
Sparse Transcription—0
Sparse Transformer: Concentrated Attention Through Explicit Selection—0
Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEG—0
Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading—0
Spatio-temporal Sign Language Representation and Translation—0
Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation—0
Specializing Multi-domain NMT via Penalizing Low Mutual Information—0
Spectral Graph-Based Method of Multimodal Word Embedding—0
SPEDE: Probabilistic Edit Distance Metrics for MT Evaluation—0
Speech-Enabled Computer-Aided Translation: A Satisfaction Survey with Post-Editor Trainees—0
Speech Rate Calculations with Short Utterances: A Study from a Speech-to-Speech, Machine Translation Mediated Map Task—0
Speech-to-Text and Evaluation of Multiple Machine Translation Systems—0
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are—0
Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23—0
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization—0
Speeding Up Entmax—0
Speeding Up Neural Machine Translation Decoding by Cube Pruning—0
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary—0
Spelling Correction as a Foreign Language—0
Spelling Correction for Russian: A Comparative Study of Datasets and Methods—0
Spelling Correction of User Search Queries through Statistical Machine Translation—0
Spell my name: keyword boosted speech recognition—0
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting—0
Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition—0
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering—0
Spiral Language Modeling—0
Splitting Complex English Sentences—0
Splitting Compounds by Semantic Analogy—0
Splitting compounds with ngrams—0
Splitting of Compound Terms in non-Prototypical Compounding Languages—0
Spoken Language Translation for Polish—0
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks—0
Squibs: Evaluating Human Pairwise Preference Judgments—0
Squibs: What Is a Paraphrase?—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