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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2451–2500 of 10752 papers

TitleStatusHype
Collecting Language Resources from Public Administrations in the Nordic and Baltic Countries—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
Aligning Sentences from Standard Wikipedia to Simple Wikipedia—0
Collecting Language Resources for the Latvian e-Government Machine Translation Platform—0
Collecting fluency corrections for spoken learner English—0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT—0
Collecting and Using Comparable Corpora for Statistical Machine Translation—0
A Semi-Automated Live Interlingual Communication Workflow Featuring Intralingual Respeaking: Evaluation and Benchmarking—0
Aligning Pre-trained Models for Spoken Language Translation—0
Adapting VerbNet to French using existing resources—0
A Challenge Set for Advancing Language Modeling—0
Collaborative Machine Translation Service for Scientific texts—0
Collaboratively Constructed Linguistic Resources for Language Variants and their Exploitation in NLP Application -- the case of Tunisian Arabic and the Social Media—0
A Semantic QA-Based Approach for Text Summarization Evaluation—0
Collaboratively Building Language Resources while Localising the Web—0
Collaborative Development of a Rule-Based Machine Translator between Croatian and Serbian—0
A Semantic Evaluation of Machine Translation Lexical Choice—0
Aligning Predicate-Argument Structures for Paraphrase Fragment Extraction—0
Collaborative Computer-Assisted Translation Applied to Pedagogical Documents and Literary Works—0
Collaboration in the Production of a Massively Multilingual Lexicon—0
Cold Fusion: Training Seq2Seq Models Together with Language Models—0
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks—0
A Scalable Distributed Syntactic, Semantic, and Lexical Language Model—0
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference—0
Adapting Translation Models to Translationese Improves SMT—0
Cognate Production using Character-based Machine Translation—0
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English—0
Cognate Identification using Machine Translation—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
Aligning English Strings with Abstract Meaning Representation Graphs—0
Code Translation with Compiler Representations—0
A Rule-Based System for Disambiguating French Locative Verbs and Their Translation into Arabic—0
Aligning context-based statistical models of language with brain activity during reading—0
Adapting Topic Models using Lexical Associations with Tree Priors—0
A Challenge Set Approach to Evaluating Machine Translation—0
ABC: Attention with Bounded-memory Control—0
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation—0
A Rule-based Shallow-transfer Machine Translation System for Scots and English—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
Code-switching pre-training for neural machine translation—0
A rule based approach for automatic clause boundary detection and classification in Hindi—0
Aligning Chinese-English Parallel Parse Trees: Is it Feasible?—0
Code-Switched Text Synthesis in Unseen Language Pairs—0
Code-Mixer Ya Nahi: Novel Approaches to Measuring Multilingual LLMs' Code-Mixing Capabilities—0
Code-mixed LLM: Improve Large Language Models' Capability to Handle Code-Mixing through Reinforcement Learning from AI Feedback—0
Co-creation for Sign Language Processing and Machine Translation—0
A Rule-Augmented Statistical Phrase-based Translation System—0
Aligning Bilingual Literary Works: a Pilot Study—0
Artificial intelligence contribution to translation industry: looking back and forward—0
Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency—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