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 2151–2200 of 10752 papers

TitleStatusHype
A Domain Adaptation Regularization for Denoising Autoencoders—0
A Comparison of Update Strategies for Large-Scale Maximum Expected BLEU Training—0
Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model—0
An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate—0
Abu-MaTran at WMT 2014 Translation Task: Two-step Data Selection and RBMT-Style Synthetic Rules—0
Co-Regression for Cross-Language Review Rating Prediction—0
Corpora for Cross-Language Information Retrieval in Six Less-Resourced Languages—0
Automatic lexical semantic classification of nouns—0
Automatic Knowledge Acquisition for Case Alternation between the Passive and Active Voices in Japanese—0
Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model—0
Automatic Keyword Extraction on Twitter—0
Automatic Interpretation of the English Possessive—0
A Document-Level SMT System with Integrated Pronoun Prediction—0
Examining Structure of Word Embeddings with PCA—0
Automatic Inference of the Tense of Chinese Events Using Implicit Linguistic Information—0
An Efficient Transformer Decoder with Compressed Sub-layers—0
Automatic Idiom Identification in Wiktionary—0
Automatic Identification of Maghreb Dialects Using a Dictionary-Based Approach—0
An Efficient Technique for De-Noising Sentences using Monolingual Corpus and Synonym Dictionary—0
A Comparison of Two Paraphrase Models for Taxonomy Augmentation—0
Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation—0
Automatic Identification of Bengali Noun-Noun Compounds Using Random Forest—0
Automatic Identification of Aspectual Classes across Verbal Readings—0
An Efficient Language Model Using Double-Array Structures—0
Automatic Identification of Arabic Language Varieties and Dialects in Social Media—0
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study—0
An efficient language independent toolkit for complete morphological disambiguation—0
Adobe AMPS’s Submission for Very Low Resource Supervised Translation Task at WMT20—0
Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation—0
Automatic generation of a 3D sign language avatar on AR glasses given 2D videos of human signers—0
An Efficient Database Design for IndoWordNet Development Using Hybrid Approach—0
Automatic Gender Identification and Reinflection in Arabic—0
Automatic Extraction of Synonyms for German Particle Verbs from Parallel Data with Distributional Similarity as a Re-Ranking Feature—0
An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation—0
Coreference Strategies in English-German Translation—0
Corpora for Document-Level Neural Machine Translation—0
Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments—0
Automatic Extraction of Implicit Interpretations from Modal Constructions—0
A Distribution-based Model to Learn Bilingual Word Embeddings—0
Automatic Evaluation of English-to-Korean and Korean-to-English Neural Machine Translation Systems by Linguistic Test Points—0
Automatic Evaluation Metrics for Document-level Translation: Overview, Challenges and Trends—0
An Efficient Approach for Machine Translation on Low-resource Languages: A Case Study in Vietnamese-Chinese—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
Automatic Evaluation Metric for Machine Translation that is Independent of Sentence Length—0
An Efficient Annotation for Phrasal Verbs using Dependency Information—0
Coordination Structures in Dependency Treebanks—0
An efficient and user-friendly tool for machine translation quality estimation—0
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning—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