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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1876–1900 of 10752 papers

Title	Date	Tasks	Status	Hype
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory	Sep 7, 2022	Chinese Word SegmentationMachine Translation	—Unverified	0
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation	Sep 7, 2022	DiversityLow Resource Neural Machine Translation	CodeCode Available	0
"Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie	Sep 6, 2022	Machine TranslationTranslation	—Unverified	0
Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and English	Sep 5, 2022	Machine TranslationTranslation	CodeCode Available	0
Informative Language Representation Learning for Massively Multilingual Neural Machine Translation	Sep 4, 2022	Machine TranslationNavigate	CodeCode Available	1
Filtering of Noisy Web-Crawled Parallel Corpus: the Japanese-Bulgarian Language Pair	Sep 1, 2022	Machine TranslationTranslation	—Unverified	0
Current Shortcomings of Machine Translation in Spanish and Bulgarian Vis-à-vis English	Sep 1, 2022	Machine TranslationNMT	—Unverified	0
Language rehabilitation of people with BROCA aphasia using deep neural machine translation	Sep 1, 2022	Machine TranslationTranslation	—Unverified	0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues	Sep 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Adapting Large Multilingual Machine Translation Models to Unseen Low Resource Languages via Vocabulary Substitution and Neuron Selection	Sep 1, 2022	Machine Translation	—Unverified	0
Gender bias Evaluation in Luganda-English Machine Translation	Sep 1, 2022	Embeddings EvaluationFairness	—Unverified	0
Refining an Almost Clean Translation Memory Helps Machine Translation	Sep 1, 2022	Machine TranslationTranslation	—Unverified	0
Picking Out The Best MT Model: On The Methodology Of Human Evaluation	Sep 1, 2022	Machine Translation	CodeCode Available	0
Evaluating Machine Translation in Cross-lingual E-Commerce Search	Sep 1, 2022	Cross-Lingual Information RetrievalInformation Retrieval	—Unverified	0
Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation	Sep 1, 2022	Domain AdaptationMachine Translation	—Unverified	0
Building Machine Translation System for Software Product Descriptions Using Domain-specific Sub-corpora Extraction	Sep 1, 2022	Machine TranslationSentence	—Unverified	0
On the Effectiveness of Quasi Character-Level Models for Machine Translation	Sep 1, 2022	Machine TranslationNMT	—Unverified	0
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings	Sep 1, 2022	de-enMachine Translation	—Unverified	0
Measuring the Effects of Human and Machine Translation on Website Engagement	Sep 1, 2022	Machine TranslationTranslation	—Unverified	0
SG Translate Together - Uplifting Singapore’s translation standards with the community through technology	Sep 1, 2022	Cultural Vocal Bursts Intensity PredictionMachine Translation	—Unverified	0
Robust Translation of French Live Speech Transcripts	Sep 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Prefix Embeddings for In-context Machine Translation	Sep 1, 2022	Language ModelingLanguage Modelling	—Unverified	0
Speech-to-Text and Evaluation of Multiple Machine Translation Systems	Sep 1, 2022	Machine TranslationSpeech-to-Text	—Unverified	0
Few-Shot Regularization to Tackle Catastrophic Forgetting in Multilingual Machine Translation	Sep 1, 2022	Lifelong learningMachine Translation	—Unverified	0
A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case	Sep 1, 2022	Machine TranslationTranslation	—Unverified	0

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All datasets WMT2014 English-German WMT2014 English-French IWSLT2014 German-English ACES WMT2016 English-Romanian WMT2016 Romanian-English WMT2014 German-English IWSLT2015 German-English WMT2016 English-German IWSLT2015 English-Vietnamese IWSLT2015 English-German WMT2016 German-English

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Transformer Cycle (Rev)	BLEU score	35.14	—	Unverified
2	Noisy back-translation	BLEU score	35	—	Unverified
3	Transformer+Rep(Uni)	BLEU score	33.89	—	Unverified
4	T5-11B	BLEU score	32.1	—	Unverified
5	BiBERT	BLEU score	31.26	—	Unverified
6	Transformer + R-Drop	BLEU score	30.91	—	Unverified
7	Bi-SimCut	BLEU score	30.78	—	Unverified
8	BERT-fused NMT	BLEU score	30.75	—	Unverified
9	Data Diversification - Transformer	BLEU score	30.7	—	Unverified
10	SimCut	BLEU score	30.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Transformer+BT (ADMIN init)	BLEU score	46.4	—	Unverified
2	Noisy back-translation	BLEU score	45.6	—	Unverified
3	mRASP+Fine-Tune	BLEU score	44.3	—	Unverified
4	Transformer + R-Drop	BLEU score	43.95	—	Unverified
5	Transformer (ADMIN init)	BLEU score	43.8	—	Unverified
6	Admin	BLEU score	43.8	—	Unverified
7	BERT-fused NMT	BLEU score	43.78	—	Unverified
8	MUSE(Paralllel Multi-scale Attention)	BLEU score	43.5	—	Unverified
9	T5	BLEU score	43.4	—	Unverified
10	Local Joint Self-attention	BLEU score	43.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PiNMT	BLEU score	40.43	—	Unverified
2	BiBERT	BLEU score	38.61	—	Unverified
3	Bi-SimCut	BLEU score	38.37	—	Unverified
4	Cutoff + Relaxed Attention + LM	BLEU score	37.96	—	Unverified
5	DRDA	BLEU score	37.95	—	Unverified
6	Transformer + R-Drop + Cutoff	BLEU score	37.9	—	Unverified
7	SimCut	BLEU score	37.81	—	Unverified
8	Cutoff+Knee	BLEU score	37.78	—	Unverified
9	Cutoff	BLEU score	37.6	—	Unverified
10	CipherDAug	BLEU score	37.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HWTSC-Teacher-Sim	Score	19.97	—	Unverified
2	MS-COMET-22	Score	19.89	—	Unverified
3	MS-COMET-QE-22	Score	19.76	—	Unverified
4	KG-BERTScore	Score	17.28	—	Unverified
5	metricx_xl_DA_2019	Score	17.17	—	Unverified
6	COMET-QE	Score	16.8	—	Unverified
7	COMET-22	Score	16.31	—	Unverified
8	UniTE-src	Score	15.68	—	Unverified
9	UniTE-ref	Score	15.38	—	Unverified
10	metricx_xxl_DA_2019	Score	15.24	—	Unverified