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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 4301–4350 of 10752 papers

TitleStatusHype
Towards Machine Translation for the Kurdish LanguageCode0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
It's not a Non-Issue: Negation as a Source of Error in Machine TranslationCode0
Improving Text Generation with Student-Forcing Optimal Transport—0
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation—0
Exemplar-Controllable Paraphrasing and Translation using BitextCode0
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItCode0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Lexically Cohesive Neural Machine Translation with Copy Mechanism—0
Machine Translation of Mathematical Text—0
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only—0
Automated Prediction of Medieval Arabic Diacritics—0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning—0
Word Level Language Identification in English Telugu Code Mixed Data—0
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods—0
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation—0
Self-Paced Learning for Neural Machine TranslationCode0
Leveraging Discourse Rewards for Document-Level Neural Machine Translation—0
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task—0
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation—0
TeaForN: Teacher-Forcing with N-grams—0
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random FieldsCode0
Scene Graph Modification Based on Natural Language CommandsCode0
Efficient Inference For Neural Machine Translation—0
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications—0
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference NetworksCode0
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate LayersCode0
Adversarial Grammatical Error Correction—0
On the Sub-Layer Functionalities of Transformer Decoder—0
On the Sparsity of Neural Machine Translation Models—0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Multi-task Learning for Multilingual Neural Machine Translation—0
We Don't Speak the Same Language: Interpreting Polarization through Machine TranslationCode0
Inference Strategies for Machine Translation with Conditional Masking—0
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
UNISON: Unpaired Cross-lingual Image Captioning—0
Syntax Representation in Word Embeddings and Neural Networks -- A Survey—0
THUMT: An Open-Source Toolkit for Neural Machine Translation—0
Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs—0
Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning—0
Iterative Multilingual Neural Machine Translation for Less-Common and Zero-Resource Language Pairs—0
层次化结构全局上下文增强的篇章级神经机器翻译(Hierarchical Global Context Augmented Document-level Neural Machine Translation)—0
Multi-Reward based Reinforcement Learning for Neural Machine Translation—0
WeChat Neural Machine Translation Systems for WMT20—0
The OpenNMT Neural Machine Translation Toolkit: 2020 Edition—0
引入源端信息的机器译文自动评价方法研究(Research on Incorporating the Source Information to Automatic Evaluation of Machine Translation)—0
基于多语言联合训练的汉-英-缅神经机器翻译方法(Chinese-English-Burmese Neural Machine Translation Method Based on Multilingual Joint Training)—0
Customized Neural Machine Translation Systems for the Swiss Legal Domain—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