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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8401–8450 of 10752 papers

TitleStatusHype
A Study of the Effectiveness of Suffixes for Chinese Word Segmentation—0
A Study of Word-Classing for MT Reordering—0
A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else)—0
A Study on Divergence in Malayalam and Tamil Language in Machine Translation Perceptive—0
A Supervised Learning Approach Towards Profiling the Preservation of Authorial Style in Literary Translations—0
A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features—0
A Survey of Arabic Named Entity Recognition and Classification—0
A Survey of Domain Adaptation for Neural Machine Translation—0
A Survey of Implicit Discourse Relation Recognition—0
A Survey of Machine Translation Tasks on Nigerian Languages—0
A Survey of Machine Translation Work in the Philippines: From 1998 to 2018—0
A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation—0
A Brief Survey of Multilingual Neural Machine Translation—0
A Survey of Named Entity Recognition in Assamese and other Indian Languages—0
A Survey of Orthographic Information in Machine Translation—0
A Survey of Paraphrasing and Textual Entailment Methods—0
A Survey of Task-Based Machine Learning Content Extraction Services for VIDINT—0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation—0
A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena—0
A Survey on Low-Resource Neural Machine Translation—0
A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges—0
A survey on phrase structure learning methods for text classification—0
A Survey on Retrieval-Augmented Text Generation—0
A Survey on Transfer Learning in Natural Language Processing—0
A Survey on Zero Pronoun Translation—0
A Syllable-based Technique for Word Embeddings of Korean Words—0
Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation—0
Asymmetric Features Of Human Generated Translation—0
Asynchronous and Segmented Bidirectional Encoding for NMT—0
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing—0
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction—0
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation—0
A Systematic Bayesian Treatment of the IBM Alignment Models—0
A Systematic Comparison of Phrase Table Pruning Techniques—0
A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU—0
A Systematic Exploration of Diversity in Machine Translation—0
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation—0
A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation—0
A System for Summarizing Scientific Topics Starting from Keywords—0
A System for Worldwide COVID-19 Information Aggregation—0
A Tagging Approach to Identify Complex Constituents for Text Simplification—0
A Tagging-style Reordering Model for Phrase-based SMT—0
A Tale about PRO and Monsters—0
A Target Attention Model for Neural Machine Translation—0
A Taxonomy and Study of Critical Errors in Machine Translation—0
A Taxonomy for In-depth Evaluation of Normalization for User Generated Content—0
A Taxonomy of Bias-Causing Ambiguities in Machine Translation—0
A Teacher-Student Framework for Zero-Resource Neural Machine Translation—0
A Test Set for Discourse Translation from Japanese to English—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