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 9801–9850 of 10752 papers

TitleStatusHype
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation—0
Efficiently Reusing Old Models Across Languages via Transfer Learning—0
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation—0
Zero-Resource Translation with Multi-Lingual Neural Machine Translation—0
Transfer Learning for Algorithm Recommendation—0
The ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared Task—0
Transfer Learning for Text Diffusion Models—0
The Missing Ingredient in Zero-Shot Neural Machine Translation—0
WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity—0
Zero-Shot Controlled Generation with Encoder-Decoder Transformers—0
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality—0
Transformer++—0
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs—0
Transformer-based Detection of Multiword Expressions in Flower and Plant Names—0
Transformer-Based Direct Hidden Markov Model for Machine Translation—0
Transformer-based Double-token Bidirectional Autoregressive Decoding in Neural Machine Translation—0
The Mininglamp Machine Translation System for WMT21—0
Transformer based Multilingual document Embedding model—0
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task—0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation—0
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel—0
Word2Vec vs DBnary ou comment (r\'e)concilier repr\'esentations distribu\'ees et r\'eseaux lexico-s\'emantiques ? Le cas de l'\'evaluation en traduction automatique (Word2Vec vs DBnary or how to bring back together vector representations and lexical resources ? A case study for machine translation evaluation)—0
The Microsoft Speech Language Translation (MSLT) Corpus for Chinese and Japanese: Conversational Test data for Machine Translation and Speech Recognition—0
The Geometry of Statistical Machine Translation—0
Transformers for Low-Resource Languages: Is Féidir Linn!—0
Transformers for Low-Resource Languages:Is Féidir Linn!—0
TranSFormer: Slow-Fast Transformer for Machine Translation—0
The META-SHARE Metadata Schema for the Description of Language Resources—0
Word Alignment as Preference for Machine Translation—0
The META-SHARE Language Resources Sharing Infrastructure: Principles, Challenges, Solutions—0
Transformer with Syntactic Position Encoding for Machine Translation—0
The MeMAD Submission to the WMT18 Multimodal Translation Task—0
Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems—0
Transforming Standard Arabic to Colloquial Arabic—0
Transforming trees into hedges and parsing with ``hedgebank'' grammars—0
Transforming Trees to Improve Syntactic Convergence—0
Word Alignment Based Parallel Corpora Evaluation and Cleaning Using Machine Learning Techniques—0
Transition-based Dependency DAG Parsing Using Dynamic Oracles—0
Word Alignment-Based Reordering of Source Chunks in PB-SMT—0
Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings—0
Word Alignment for English-Turkish Language Pair—0
Word Alignment in the Era of Deep Learning: A Tutorial—0
Translate-and-Revise: Boosting Large Language Models for Constrained Translation—0
Translated Texts Under the Lens: From Machine Translation Detection to Source Language Identification—0
TranslateLocally: Blazing-fast translation running on the local CPU—0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task—0
Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral—0
Word-based Domain Adaptation for Neural Machine Translation—0
Word-based Japanese typed dependency parsing with grammatical function analysis—0
ZJU’s IWSLT 2021 Speech Translation System—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