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

Showing 83018350 of 10752 papers

TitleStatusHype
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT20150
Telemedicine as a special case of Machine Translation0
Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level0
Enhancing Root Extractors Using Light Stemmers0
A Machine Learning Method to Distinguish Machine Translation from Human Translation0
An Awkward Disparity between BLEU / RIBES Scores and Human Judgements in Machine Translation0
NAVER Machine Translation System for WAT 20150
Evaluating Neural Machine Translation in English-Japanese Task0
Computing Semantic Text Similarity Using Rich Features0
Chinese Word Segmentation based on analogy and majority voting0
English to Chinese Translation: How Chinese Character Matters0
Machine Translation Experiments on PADIC: A Parallel Arabic DIalect Corpus0
Sampling-based Alignment and Hierarchical Sub-sentential Alignment in Chinese--Japanese Translation of Patents0
Cross-language Projection of Dependency Trees for Tree-to-tree Machine Translation0
A Large-scale Study of Statistical Machine Translation Methods for Khmer Language0
KyotoEBMT System Description for the 2nd Workshop on Asian Translation0
A Dependency-to-String Model for Chinese-Japanese SMT System0
An Improved Hierarchical Word Sequence Language Model Using Directional Information0
Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering forWAT 20150
System Combination of RBMT plus SPE and Preordering plus SMT0
Construction of Semantic Collocation Bank Based on Semantic Dependency Parsing0
Self Syntactico-Semantic Enrichment of LMF Normalized Dictionaries0
Measuring Popularity of Machine-Generated Sentences Using Term Count, Document Frequency, and Dependency Language Model0
An Efficient Annotation for Phrasal Verbs using Dependency Information0
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT0
Source Phrase Segmentation and Translation for Japanese-English Translation Using Dependency Structure0
Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features0
Improving the Performance of an Example-Based Machine Translation System Using a Domain-specific Bilingual Lexicon0
Identifying Prepositional Phrases in Chinese Patent Texts with Rule-based and CRF Methods0
Overview of the 2nd Workshop on Asian Translation0
NICT at WAT 20150
High-order Graph-based Neural Dependency ParsingCode0
Paraphrase Detection Based on Identical Phrase and Similar Word Matching0
Semi-automatic Filtering of Translation Errors in Triangle Corpus0
Acquiring distributed representations for verb-object pairs by using word2vec0
Toshiba MT System Description for the WAT2015 Workshop0
Zero Object Resolution in Korean0
Well-Formed Dependency to String translation with BTG Grammar0
Translation of Unseen Bigrams by Analogy Using an SVM Classifier0
Real-Time Statistical Speech Translation0
A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation0
Enhanced Bilingual Evaluation Understudy0
Polish to English Statistical Machine Translation0
Polish - English Speech Statistical Machine Translation Systems for the IWSLT 20130
Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs0
Polish - English Speech Statistical Machine Translation Systems for the IWSLT 20140
Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet texts0
Polish -English Statistical Machine Translation of Medical Texts0
A Light Sliding-Window Part-of-Speech Tagger for the Apertium Free/Open-Source Machine Translation Platform0
Splitting Compounds by Semantic Analogy0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified