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 44514500 of 10752 papers

TitleStatusHype
Context Based Statistical Morphological Analyzer and its Effect on Hindi Dependency Parsing0
How do LSPs compute MT discounts? Presenting a company’s pipeline and its use0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?0
A survey on phrase structure learning methods for text classification0
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?0
How effective is Multi-source pivoting for Translation of Low Resource Indian Languages?0
Context-Dependent Translation Selection Using Convolutional Neural Network0
How Good are Commercial Large Language Models on African Languages?0
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention0
Hashtag Occurrences, Layout and Translation: A Corpus-driven Analysis of Tweets Published by the Canadian Government0
A Survey on Transfer Learning in Natural Language Processing0
Consistent Word Segmentation, Part-of-Speech Tagging and Dependency Labelling Annotation for Chinese Language0
A Survey on Zero Pronoun Translation0
Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition0
How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech0
Harvesting Parallel Text in Multiple Languages with Limited Supervision0
Harvesting Parallel News Streams to Generate Paraphrases of Event Relations0
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures0
How much does a word weigh? Weighting word embeddings for word sense induction0
How Much Does Tokenization Affect Neural Machine Translation?0
Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues0
How Multilingual Are Large Language Models Fine-Tuned for Translation?0
Context Models for OOV Word Translation in Low-Resource Languages0
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?0
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?0
Context-Sensitive Generation of Open-Domain Conversational Responses0
How Sentiment Analysis Can Help Machine Translation0
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus0
A Closer Look at Parameter Contributions When Training Neural Language and Translation Models0
Asynchronous and Segmented Bidirectional Encoding for NMT0
Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems0
How to Account for Idiomatic German Support Verb Constructions in Statistical Machine Translation0
IIT Bombay's English-Indonesian submission at WAT: Integrating Neural Language Models with SMT0
How to configure statistical machine translation with linked open data resources0
How to Do Human Evaluation: Best Practices for User Studies in NLP0
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation0
How to Evaluate Opinionated Keyphrase Extraction?0
How to Know the Best Machine Translation System in Advance before Translating a Sentence?0
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise on Machine Translation0
How to Measure Gender Bias in Machine Translation: Optimal Translators, Multiple Reference Points0
How to overtake Google in MT quality - the Baltic case0
How to Produce Unseen Teddy Bears: Improved Morphological Processing of Compounds in SMT0
IITP English-Hindi Machine Translation System at WAT 20160
How to Tell a Schneemann from a Milchmann: An Annotation Scheme for Compound-Internal Relations0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer0
IJCNLP-2017 Task 4: Customer Feedback Analysis0
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation0
How Vision Affects Language: Comparing Masked Self-Attention in Uni-Modal and Multi-Modal Transformer0
Improved Decipherment of Homophonic Ciphers0
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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