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 8001–8050 of 10752 papers

TitleStatusHype
Analysing Lexical Consistency in Translation—0
Analysing ParCor and its Translations by State-of-the-art SMT Systems—0
Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification—0
Analysing the Correlation between Lexical Ambiguity and Translation Quality in a Multimodal Setting using WordNet—0
Analysing the Effect of Out-of-Domain Data on SMT Systems—0
Analysis and Prediction of Unalignable Words in Parallel Text—0
Analysis of Levenshtein Transformer's Decoder and Its Variants—0
Analysis of Positional Encodings for Neural Machine Translation—0
Analysis Tool for UNL-Based Knowledge Representation—0
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies—0
Analyzing Architectures for Neural Machine Translation Using Low Computational Resources—0
Analyzing Context Contributions in LLM-based Machine Translation—0
Analyzing Context Utilization of LLMs in Document-Level Translation—0
Analyzing English-Spanish Named-Entity enhanced Machine Translation—0
Analyzing Knowledge Distillation in Neural Machine Translation—0
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length—0
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets—0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
An Analysis (and an Annotated Corpus) of User Responses to Machine Translation Output—0
An analysis of a French as a Foreign Language Corpus for Readability Assessment—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
An Analysis of BPE Vocabulary Trimming in Neural Machine Translation—0
An Analysis of Crowdsourced Text Simplifications—0
An Analysis of Encoder Representations in Transformer-Based Machine Translation—0
An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages—0
An Analysis of Source-Side Grammatical Errors in NMT—0
An Analytical Model of Language Resource Sustainability—0
Anaphora and Coreference Resolution: A Review—0
Anaphora -- Clause Annotation and Alignment Tool.—0
Anaphora Models and Reordering for Phrase-Based SMT—0
Anaphora Resolution for Machine Translation (R\'esolution d'anaphores et traitement des pronoms en traduction automatique \`a base de r\`egles) [in French]—0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
An Approach of Hybrid Hierarchical Structure for Word Similarity Computing by HowNet—0
An Approach to Discourse Parsing using Sangati and Rhetorical Structure Theory—0
An Approach to Take Multi-Word Expressions—0
An Approach Using Style Classification Features for Quality Estimation—0
A Natural Bias for Language Generation Models—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
An Automatic Evaluation of the WMT22 General Machine Translation Task—0
An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model—0
An Awkward Disparity between BLEU / RIBES Scores and Human Judgements in Machine Translation—0
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition—0
Anchor Graph: Global Reordering Contexts for Statistical Machine Translation—0
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms—0
Ancient Korean Archive Translation: Comparison Analysis on Statistical phrase alignment, LLM in-context learning, and inter-methodological approach—0
Ancient-Modern Chinese Translation with a Large Training Dataset—0
ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer—0
An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario—0
Show:102550
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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