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 3351–3400 of 10752 papers

TitleStatusHype
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?Code0
Towards Making the Most of Dialogue Characteristics for Neural Chat TranslationCode0
Spelling Correction for Russian: A Comparative Study of Datasets and Methods—0
Multimodal Neural Machine Translation System for English to Bengali—0
Multimodal Simultaneous Machine Translation—0
English-Arabic Cross-language Plagiarism Detection—0
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple LanguagesCode0
Effective Bitext Extraction From Comparable Corpora Using a Combination of Three Different Approaches—0
Malta National Language Technology Platform: A vision for enhancing Malta’s official languages using Machine Translation—0
Transformer with Syntactic Position Encoding for Machine Translation—0
Hinglish to English Machine Translation using Multilingual Transformers—0
Domain Adaptation for Hindi-Telugu Machine Translation Using Domain Specific Back Translation—0
Low Resource Multimodal Neural Machine Translation of English-Hindi in News Domain—0
Towards Precise Lexicon Integration in Neural Machine TranslationCode0
BERT-PersNER: A New Model for Persian Named Entity Recognition—0
Grammar-Based Concept Alignment for Domain-Specific Machine Translation—0
Multilingual Multi-Domain NMT for Indian Languages—0
Unsupervised Text Style Transfer with Content Embeddings—0
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework—0
Models and Tasks for Human-Centered Machine Translation—0
Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss TranslationCode0
Survey of Low-Resource Machine Translation—0
Online Learning over Time in Adaptive Neural Machine Translation—0
Multiple Captions Embellished Multilingual Multi-Modal Neural Machine Translation—0
Neural Machine Translation for Sinhala-English Code-Mixed Text—0
On Machine Translation of User Reviews—0
Masked Adversarial Generation for Neural Machine Translation—0
Invited Presentation—0
Experiences of Adapting Multimodal Machine Translation Techniques for Hindi—0
Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models—0
Scheduled Sampling Based on Decoding Steps for Neural Machine TranslationCode0
Secoco: Self-Correcting Encoding for Neural Machine Translation—0
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network—0
YANMTT: Yet Another Neural Machine Translation Toolkit—0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach—0
Recurrent multiple shared layers in Depth for Neural Machine Translation—0
Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation ModelsCode0
A Dual-Decoder Conformer for Multilingual Speech Recognition—0
Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer—0
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function—0
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation—0
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021Code0
Directing the violence or admonishing it? A survey of contronymy and androcentrism in Google Translate and some recommendationsCode0
Adapting Multilingual Models for Code-Mixed Translation using Back-to-Back Translation—0
Semantics-aware Attention Improves Neural Machine Translation—0
Active Learning for Massively Parallel Translation of Constrained Text into Low Resource Languages—0
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages—0
The paradox of the compositionality of natural language: a neural machine translation case studyCode0
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation—0
Machine Translation of Low-Resource Indo-European Languages—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