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 4101–4150 of 10752 papers

TitleStatusHype
Coping with the Subjectivity of Human Judgements in MT Quality Estimation—0
A Topic-Triggered Language Model for Statistical Machine Translation—0
Copied Monolingual Data Improves Low-Resource Neural Machine Translation—0
Coordination Structures in Dependency Treebanks—0
A Topic Similarity Model for Hierarchical Phrase-based Translation—0
A Multilingual Reading Comprehension System for more than 100 Languages—0
Addressing Community Question Answering in English and Arabic—0
Grammatical Error Correction for Low-Resource Languages: The Case of Zarma—0
Coordinate System Selection for Minimum Error Rate Training in Statistical Machine Translation—0
Cool English: a Grammatical Error Correction System Based on Large Learner Corpora—0
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots—0
Convolutions Are All You Need (For Classifying Character Sequences)—0
A tool for enhanced search of multilingual digital libraries of e-journals—0
Grammar Error Correction Using Pseudo-Error Sentences and Domain Adaptation—0
Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling—0
A Tool for a High-Carat Gold-Standard Word Alignment—0
Convolutional Self-Attention Networks—0
ATLAS - Human Language Technologies integrated within a Multilingual Web Content Management System—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
Grammar-Based Concept Alignment for Domain-Specific Machine Translation—0
Grammar rules for the isiZulu complex verb—0
A Three Stage Hybrid Parser for Hindi—0
Converting Russian Dependency Treebank to Stanford Typed Dependencies Representation—0
A Three-Layer Architecture for Automatic Post Editing System Using Rule-Based Paradigm—0
Converting Phrase Structures to Dependency Structures in Sanskrit—0
Converting Epics/Stories into Pseudocode using Transformers—0
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning—0
Converting Continuous-Space Language Models into N-Gram Language Models for Statistical Machine Translation—0
A Thorough Investigation into the Application of Deep CNN for Enhancing Natural Language Processing Capabilities—0
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
Additive Neural Networks for Statistical Machine Translation—0
A Bilingual Discourse Corpus and Its Applications—0
Grammar Accuracy Evaluation (GAE): Quantifiable Quantitative Evaluation of Machine Translation Models—0
Grammatical Error Correction: A Survey of the State of the Art—0
Grammatical Error Correction: Machine Translation and Classifiers—0
Graph-Based Translation Via Graph Segmentation—0
GTCOM Neural Machine Translation Systems for WMT20—0
Handling Rare Word Problem using Synthetic Training Data for Sinhala and Tamil Neural Machine Translation—0
Controlling the Voice of a Sentence in Japanese-to-English Neural Machine Translation—0
Controlling the Reading Level of Machine Translation Output—0
Athena: Efficient Block-Wise Post-Training Quantization for Large Language Models Using Second-Order Matrix Derivative Information—0
Controlling the Output Length of Neural Machine Translation—0
A Multilingual Evaluation of Three Spelling Normalisation Methods for Historical Text—0
Additive Interventions Yield Robust Multi-Domain Machine Translation Models—0
GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection—0
Controlling Target Features in Neural Machine Translation via Prefix Constraints—0
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation—0
Controlling Politeness in Neural Machine Translation via Side Constraints—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19—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