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 4151–4200 of 10752 papers

TitleStatusHype
GTCOM Neural Machine Translation Systems for WMT21—0
Controlling Machine Translation for Multiple Attributes with Additive Interventions—0
A Multi-Hop Attention for RNN based Neural Machine Translation—0
Adding syntactic structure to bilingual terminology for improved domain adaptation—0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation—0
Controlling Human Perception of Basic User Traits—0
A Test Set for Discourse Translation from Japanese to English—0
A Comparative Study of Extremely Low-Resource Transliteration of the World's Languages—0
Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation—0
Controlling Extra-Textual Attributes about Dialogue Participants -- A Case Study of English-to-Polish Neural Machine Translation—0
Controlled Authoring In A Hybrid Russian-English Machine Translation System—0
A Multiform Balanced Dependency Treebank for Romanian—0
Growing Together: Modeling Human Language Learning With n-Best Multi-Checkpoint Machine Translation—0
Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge—0
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection—0
A Teacher-Student Framework for Zero-Resource Neural Machine Translation—0
Controllable Text Generation for Open-Domain Creativity and Fairness—0
A Taxonomy of Bias-Causing Ambiguities in Machine Translation—0
Adding Multimodal Capabilities to a Text-only Translation Model—0
A Multi-Domain Translation Model Framework for Statistical Machine Translation—0
A Taxonomy for In-depth Evaluation of Normalization for User Generated Content—0
A Comparative Study of Different Classification Methods for the Identification of Brazilian Portuguese Multiword Expressions—0
Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Traduction Automatique—0
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation—0
A Taxonomy and Study of Critical Errors in Machine Translation—0
Grounded Word Sense Translation—0
Ground Truth for Grammatical Error Correction Metrics—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation—0
A Target Attention Model for Neural Machine Translation—0
A Multidialectal Parallel Corpus of Arabic—0
Adding Linguistic Knowledge to NLP Tasks for Bulgarian: The Verb Paradigm Patterns—0
Contrastive Learning for Low Resource Machine Translation—0
A Tale about PRO and Monsters—0
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information—0
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information—0
A Tagging-style Reordering Model for Phrase-based SMT—0
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment—0
Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs—0
Guampa: a Toolkit for Collaborative Translation—0
A Tagging Approach to Identify Complex Constituents for Text Simplification—0
Contrastive Conditional Masked Language Model for Non-autoregressive Neural Machine Translation—0
AMR Parsing with an Incremental Joint Model—0
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation—0
Contractive error feedback for gradient compression—0
A System for Worldwide COVID-19 Information Aggregation—0
A Comparative Study of Conversion Aided Methods for WordNet Sentence Textual Similarity—0
Contractions: To Align or Not to Align, That Is the Question—0
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation—0
A System for Summarizing Scientific Topics Starting from Keywords—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