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

Showing 97019750 of 10752 papers

TitleStatusHype
Anchor Graph: Global Reordering Contexts for Statistical Machine Translation0
Bootstrapping Phrase-based Statistical Machine Translation via WSD Integration0
Recurrent Continuous Translation Models0
Discriminative Improvements to Distributional Sentence Similarity0
An Approach of Hybrid Hierarchical Structure for Word Similarity Computing by HowNet0
Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries0
Automatic Idiom Identification in Wiktionary0
Feature-based Neural Language Model and Chinese Word Segmentation0
Improving Statistical Machine Translation with Word Class Models0
A Convex Alternative to IBM Model 20
Improving Pivot-Based Statistical Machine Translation Using Random Walk0
Regularized Minimum Error Rate Training0
University Entrance Examinations as a Benchmark Resource for NLP-based Problem Solving0
Towards High-Reliability Speech Translation in the Medical Domain0
What is Hidden among Translation Rules0
Urdu Hindi Machine Transliteration using SMT0
Uncovering Distributional Differences between Synonyms and Antonyms in a Word Space Model0
UNL-ization of Punjabi with IAN0
Unsupervised Induction of Cross-Lingual Semantic Relations0
Translating Chinese Unknown Words by Automatically Acquired Templates0
The LIGM-Alpage architecture for the SPMRL 2013 Shared Task: Multiword Expression Analysis and Dependency Parsing0
Translation with Source Constituency and Dependency Trees0
Tmuse: Lexical Network Exploration0
Two-Stage Pre-ordering for Japanese-to-English Statistical Machine Translation0
Tuning SMT with a Large Number of Features via Online Feature Grouping0
Two Case Studies on Translating Pronouns in a Deep Syntax Framework0
Urdu Spell Checking: Reverse Edit Distance Approach0
Using Transliteration of Proper Names from Arabic to Latin Script to Improve English-Arabic Word Alignment0
Translating into Morphologically Rich Languages with Synthetic Phrases0
JRC-Names: A freely available, highly multilingual named entity resource0
DGT-TM: A freely Available Translation Memory in 22 Languages0
Exploiting Similarities among Languages for Machine TranslationCode0
Implementation of nlization framework for verbs, pronouns and determiners with eugene0
Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification0
Corpus development for machine translation between standard and dialectal varieties0
A Pilot Study on the Semantic Classification of Two German Prepositions: Combining Monolingual and Multilingual Evidence0
A Dictionary-Based Approach for Evaluating Orthographic Methods in Cognates Identification0
Automatic Enhancement of LTAG Treebank0
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction0
Combining, Adapting and Reusing Bi-texts between Related Languages: Application to Statistical Machine Translation (invited talk)0
Language diversity and implications for Language technology in the Multilingual Europe0
Normalization of Dutch User-Generated Content0
Improving Sentiment Analysis in Twitter Using Multilingual Machine Translated Data0
Lexicon induction and part-of-speech tagging of non-resourced languages without any bilingual resources0
Statistical-based System for Morphological Annotation of Arabic Texts0
History Based Unsupervised Data Oriented Parsing0
Automatic Evaluation Metric for Machine Translation that is Independent of Sentence Length0
Improving Language Model Adaptation using Automatic Data Selection and Neural Network0
A Tagging Approach to Identify Complex Constituents for Text Simplification0
Korean Word-Sense Disambiguation Using Parallel Corpus as Additional Resource0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified