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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 8951–9000 of 10752 papers

TitleStatusHype
A Comparison of MT Methods for Closely Related Languages: a Case Study on Czech - Slovak Language Pair—0
Language Identification in Code-Switching Scenario—0
INVITED TALK 2: Towards Universal Syntactic Processing of Natural Language—0
INVITED TALK 1: Computational Processing of Arabic Dialects—0
Exploring cross-language statistical machine translation for closely related South Slavic languages—0
A Framework for the Classification and Annotation of Multiword Expressions in Dialectal Arabic—0
A Pipeline Approach to Supervised Error Correction for the QALB-2014 Shared Task—0
Exploring System Combination approaches for Indo-Aryan MT Systems—0
Mixed Language and Code-Switching in the Canadian Hansard—0
TECHLIMED system description for the Shared Task on Automatic Arabic Error Correction—0
Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation—0
Type-based MCMC for Sampling Tree Fragments from Forests—0
Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks—0
Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation—0
Improving Word Alignment using Word Similarity—0
Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models—0
Coarse-grained Candidate Generation and Fine-grained Re-ranking for Chinese Abbreviation Prediction—0
Comparing Representations of Semantic Roles for String-To-Tree Decoding—0
Dependency-Based Bilingual Language Models for Reordering in Statistical Machine Translation—0
Refining Word Segmentation Using a Manually Aligned Corpus for Statistical Machine Translation—0
Large-scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression—0
Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs—0
Search-Aware Tuning for Machine Translation—0
Event Role Extraction using Domain-Relevant Word Representations—0
Improved Decipherment of Homophonic Ciphers—0
Automatic Inference of the Tense of Chinese Events Using Implicit Linguistic Information—0
Combining String and Context Similarity for Bilingual Term Alignment from Comparable Corpora—0
Modeling Term Translation for Document-informed Machine Translation—0
Asymmetric Features Of Human Generated Translation—0
A Fast and Accurate Dependency Parser using Neural Networks—0
Multi-Predicate Semantic Role Labeling—0
An Iterative Link-based Method for Parallel Web Page Mining—0
Large-scale Expected BLEU Training of Phrase-based Reordering Models—0
Incremental Semantic Role Labeling with Tree Adjoining Grammar—0
Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation—0
Reordering Model for Forest-to-String Machine Translation—0
Human Effort and Machine Learnability in Computer Aided Translation—0
A Joint Model for Unsupervised Chinese Word Segmentation—0
Learning Hierarchical Translation Spans—0
An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian—0
Invited Talk: IBM Cognitive Computing - An NLP Renaissance!—0
Finding Good Enough: A Task-Based Evaluation of Query Biased Summarization for Cross-Language Information Retrieval—0
Confidence-based Rewriting of Machine Translation Output—0
Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints—0
Predicting Dialect Variation in Immigrant Contexts Using Light Verb Constructions—0
Exact Decoding for Phrase-Based Statistical Machine Translation—0
An Unsupervised Model for Instance Level Subcategorization Acquisition—0
Morphological Segmentation for Keyword Spotting—0
Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model—0
A Human Judgement Corpus and a Metric for Arabic MT Evaluation—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