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 3001–3050 of 10752 papers

TitleStatusHype
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation—0
Doc-Guided Sent2Sent++: A Sent2Sent++ Agent with Doc-Guided memory for Document-level Machine Translation—0
Do Character-Level Neural Network Language Models Capture Knowledge of Multiword Expression Compositionality?—0
Do Characters Abuse More Than Words?—0
Beyond Prefix-Based Interactive Translation Prediction—0
Dynamic Transformer for Efficient Machine Translation on Embedded Devices—0
Attention Forcing for Sequence-to-sequence Model Training—0
CREAMT: Creativity and narrative engagement of literary texts translated by translators and NMT—0
Addressing the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts—0
Document Context Neural Machine Translation with Memory Networks—0
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation—0
Document Graph for Neural Machine Translation—0
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus—0
Document-Level Adaptation for Neural Machine Translation—0
Document Level Hierarchical Transformer—0
Document-Level Information as Side Constraints for Improved Neural Patent Translation—0
Document-Level Language Models for Machine Translation—0
Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion—0
Document-Level Machine Translation Evaluation Project: Methodology, Effort and Inter-Annotator Agreement—0
CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models—0
Document-Level Machine Translation with Word Vector Models—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
Document-level Neural Machine Translation with Document Embeddings—0
Document-level Neural Machine Translation with Associated Memory Network—0
Document-Level Neural Machine Translation Using BERT as Context Encoder—0
Document-level Neural Machine Translation Using Dependency RST Structure—0
Document-level Neural MT: A Systematic Comparison—0
Document Level NMT of Low-Resource Languages with Backtranslation—0
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation—0
Document Network Embedding: Coping for Missing Content and Missing Links—0
BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
Document-Wide Decoding for Phrase-Based Statistical Machine Translation—0
Do dependency parsing metrics correlate with human judgments?—0
Does a Computational Linguist have to be a Linguist?—0
Does `well-being' translate on Twitter?—0
Does BLEU Score Work for Code Migration?—0
Does Context Help Mitigate Gender Bias in Neural Machine Translation?—0
Does more data always yield better translations?—0
Analysing Coreference in Transformer Outputs—0
Dynamic Terminology Integration for COVID-19 and other Emerging Domains—0
Crafting Adversarial Examples for Neural Machine Translation—0
Does String-Based Neural MT Learn Source Syntax?—0
Does Summary Evaluation Survive Translation to Other Languages?—0
Does Summary Evaluation Survive Translation to Other Languages?—0
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge—0
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer—0
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand—0
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings—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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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