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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 9251–9300 of 10752 papers

TitleStatusHype
Phrasal: A Toolkit for New Directions in Statistical Machine Translation—0
EM Decipherment for Large Vocabularies—0
Learning Topic Representation for SMT with Neural Networks—0
Dependency-based Automatic Enumeration of Semantically Equivalent Word Orders for Evaluating Japanese Translations—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features—0
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval—0
Stanford University's Submissions to the WMT 2014 Translation Task—0
Empirical Study of Unsupervised Chinese Word Segmentation Methods for SMT on Large-scale Corpora—0
Going beyond sentences when applying tree kernels—0
Polylingual Tree-Based Topic Models for Translation Domain Adaptation—0
LIG System for Word Level QE task at WMT14—0
Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining—0
The CMU Machine Translation Systems at WMT 2014—0
KyotoEBMT: An Example-Based Dependency-to-Dependency Translation Framework—0
Text simplification using synchronous dependency grammars: Generalising automatically harvested rules—0
Efficient Elicitation of Annotations for Human Evaluation of Machine TranslationCode0
Generalized Character-Level Spelling Error Correction—0
Efforts on Machine Learning over Human-mediated Translation Edit Rate—0
Findings of the 2014 Workshop on Statistical Machine Translation—0
Machine Translation and Monolingual Postediting: The AFRL WMT-14 System—0
Bayesian Reordering Model with Feature Selection—0
Referential Translation Machines for Predicting Translation Quality—0
Response-based Learning for Grounded Machine Translation—0
Book Reviews: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders S—0
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney SmoothingCode0
A Survey of Arabic Named Entity Recognition and Classification—0
Refinements to Interactive Translation Prediction Based on Search Graphs—0
Dive deeper: Deep Semantics for Sentiment Analysis—0
Dependency-based Pre-ordering for Chinese-English Machine Translation—0
Anaphora Models and Reordering for Phrase-Based SMT—0
Exploring Consensus in Machine Translation for Quality Estimation—0
Crowdsourcing Language Generation Templates for Dialogue Systems—0
CUNI in WMT14: Chimera Still Awaits Bellerophon—0
Bayesian Kernel Methods for Natural Language Processing—0
Generating Subjective Responses to Opinionated Articles in Social Media: An Agenda-Driven Architecture and a Turing-Like Test—0
Semantics, Discourse and Statistical Machine Translation—0
Combining Domain Adaptation Approaches for Medical Text Translation—0
Dynamic Topic Adaptation for SMT using Distributional Profiles—0
Predicting Grammaticality on an Ordinal Scale—0
Correcting Preposition Errors in Learner English Using Error Case Frames and Feedback Messages—0
Edinburgh's Phrase-based Machine Translation Systems for WMT-14—0
Edinburgh's Syntax-Based Systems at WMT 2014—0
Improving Lexical Embeddings with Semantic KnowledgeCode0
Recurrent Neural Networks for Word Alignment Model—0
Effective Selection of Translation Model Training Data—0
Grammatical error correction using hybrid systems and type filtering—0
Knowledge-Based Question Answering as Machine Translation—0
The RWTH Aachen German-English Machine Translation System for WMT 2014—0
The Karlsruhe Institute of Technology Translation Systems for the WMT 2014—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