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 2751–2800 of 10752 papers

TitleStatusHype
Creating rich online dictionaries for the Lao--French language pair, reusable for Machine Translation—0
Dependency Tree Abstraction for Long-Distance Reordering in Statistical Machine Translation—0
DEPFIX: A System for Automatic Correction of Czech MT Outputs—0
Depth-Adaptive Transformer—0
Depth-Gated LSTM—0
A Wizard-of-Oz Study on A Non-Task-Oriented Dialog Systems That Reacts to User Engagement—0
A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations—0
DERI\&UPM: Pushing Corpus Based Relatedness to Similarity: Shared Task System Description—0
A Word-Embedding-based Sense Index for Regular Polysemy Representation—0
Describing Multimedia Content using Attention-based Encoder--Decoder Networks—0
Design and Annotation of the First Italian Corpus for Text Simplification—0
Design and compilation of a specialized Spanish-German parallel corpus—0
Design and Implementation of a Virtual 3D Educational Environment to improve Deaf Education—0
Design and Implementation of English To Yorùbá Verb Phrase Machine Translation System—0
Designing a Frame-Semantic Machine Translation Evaluation Metric—0
Designing and Evaluating a Reliable Corpus of Web Genres via Crowd-Sourcing—0
Designing a Russian Idiom-Annotated Corpus—0
Designing Language Technology Applications: A Wizard of Oz Driven Prototyping Framework—0
Addressing Troublesome Words in Neural Machine Translation—0
Design of a hybrid high quality machine translation system—0
A BiLSTM-based System for Cross-lingual Pronoun Prediction—0
Design of intelligent proofreading system for English translation based on CNN and BERT—0
Detecting and Correcting Learner Korean Particle Omission Errors—0
Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars—0
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better—0
Detecting and Understanding Generalization Barriers for Neural Machine Translation—0
Detecting Concrete Visual Tokens for Multimodal Machine Translation—0
Detecting Content-Heavy Sentences: A Cross-Language Case Study—0
Detecting Context Dependence in Exercise Item Candidates Selected from Corpora—0
Detecting context-dependent sentences in parallel corpora—0
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations—0
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation—0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Discovering Bilingual Lexicons in Polyglot Word Embeddings—0
Attention Mechanism and Context Modeling System for Text Mining Machine Translation—0
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only—0
Creating Interactive Macaronic Interfaces for Language Learning—0
Discourse-aware Statistical Machine Translation as a Context-sensitive Spell Checker—0
Detecting Highly Confident Word Translations from Comparable Corpora without Any Prior Knowledge—0
Detecting Japanese Compound Functional Expressions using Canonical/Derivational Relation—0
Detecting Metaphorical Phrases in the Polish Language—0
Detecting Narrativity to Improve English to French Translation of Simple Past Verbs—0
Detecting over/under-translation errors for determining adequacy in human translations—0
Detecting Semantic Equivalence and Information Disparity in Cross-lingual Documents—0
Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models—0
Detecting the Untranslatable Colloquial Expressions of Japanese Verbs in Cross-Language Instant Messaging—0
Detecting Translation Direction: A Cross-Domain Study—0
Detecting Untranslated Content for Neural Machine Translation—0
Creating Domain-Specific Translation Memories for Machine Translation Fine-tuning: The TRENCARD Bilingual Cardiology Corpus—0
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture—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