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 4201–4250 of 10752 papers

TitleStatusHype
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
A Finite-State Morphological Analyser for Sindhi—0
Discriminating between Similar Languages Using a Combination of Typed and Untyped Character N-grams and Words—0
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck—0
Discrete Structural Planning for Neural Machine Translation—0
Discrete Structural Planning for Neural Machine Translation—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
Discrete Structural Planning for Generating Diverse Translations—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
DiscreTalk: Text-to-Speech as a Machine Translation Problem—0
Bengali to Assamese Statistical Machine Translation using Moses (Corpus Based)—0
A Neural Verb Lexicon Model with Source-side Syntactic Context for String-to-Tree Machine Translation—0
A Finite-State Approach to Phrase-Based Statistical Machine Translation—0
Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation—0
Discovering Potential Terminological Relationships from Twitter's Timed Content—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Discovering Parallel Language Resources for Training MT Engines—0
Discovering Non-Monotonic Autoregressive Ordering for Text Generation Models using Sinkhorn Distributions—0
Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian—0
A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences—0
Discovering Light Verb Constructions and their Translations from Parallel Corpora without Word Alignment—0
Benchmarking SMT Performance for Farsi Using the TEP++ Corpus—0
Discovering Bilingual Lexicons in Polyglot Word Embeddings—0
Discourse Structure in Machine Translation Evaluation—0
Benchmarking of English-Hindi parallel corpora—0
A Neural Reordering Model for Phrase-based Translation—0
A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch—0
Discourse Structure and Computation: Past, Present and Future—0
Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model—0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
A Neural Network Model for Low-Resource Universal Dependency Parsing—0
Discourse-level Annotation over Europarl for Machine Translation: Connectives and Pronouns—0
Discourse for Machine Translation.—0
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation—0
Benchmarking Machine Translated Sentiment Analysis for Arabic Tweets—0
A Neural Network Based Model for Loanword Identification in Uyghur—0
A Fine-Grained Analysis of BERTScore—0
A Convexity-based Generalization of Viterbi for Non-Deterministic Weighted Automata—0
A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL—0
Discourse-aware Statistical Machine Translation as a Context-sensitive Spell Checker—0
Discourse Annotation of Non-native Spontaneous Spoken Responses Using the Rhetorical Structure Theory Framework—0
Discourse Annotation in the PDTB: The Next Generation—0
Discourse and Document-level Information for Evaluating Language Output Tasks—0
Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving—0
A Neural Network based Approach to Automatic Post-Editing—0
Discourse Analysis and Its Applications—0
DiscoTK: Using Discourse Structure for Machine Translation Evaluation—0
Discontinuous Verb Phrases in Parsing and Machine Translation of English and German—0
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses—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