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 6851–6900 of 10752 papers

TitleStatusHype
WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition—0
On the Use of Machine Translation-Based Approaches for Vietnamese Diacritic Restoration—0
Dynamic Oracle for Neural Machine Translation in Decoding Phase—0
Toward a full-scale neural machine translation in production: the Booking.com use case—0
Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models—0
Role of Morphology Injection in Statistical Machine Translation—0
Machine-Translation History and Evolution: Survey for Arabic-English Translations—0
Towards an Arabic-English Machine-Translation Based on Semantic Web—0
Self-Attentive Residual Decoder for Neural Machine TranslationCode0
OpenNMT: Open-source Toolkit for Neural Machine Translation—0
SYSTRAN Purely Neural MT Engines for WMT2017—0
Refining Source Representations with Relation Networks for Neural Machine Translation—0
Simple Recurrent Units for Highly Parallelizable RecurrenceCode2
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation—0
Towards Neural Machine Translation with Latent Tree Attention—0
Information-Propogation-Enhanced Neural Machine Translation by Relation Model—0
Hypothesis Testing based Intrinsic Evaluation of Word Embeddings—0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging—0
Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data—0
Exploring Hypotheses Spaces in Neural Machine Translation—0
Neural Pre-Translation for Hybrid Machine Translation—0
Empirical Study of Dropout Scheme for Neural Machine Translation—0
A Case Study of Machine Translation in Financial Sentiment Analysis—0
Machine Translation as an Academic Writing Aid for Medical Practitioners—0
The Microsoft Speech Language Translation (MSLT) Corpus for Chinese and Japanese: Conversational Test data for Machine Translation and Speech Recognition—0
Learning an Interactive Attention Policy for Neural Machine Translation—0
Journey around Neural Machine Translation quality—0
A Multilingual Parallel Corpus for Improving Machine Translation on Southeast Asian LanguagesCode0
A Target Attention Model for Neural Machine Translation—0
Same same, but different: Compositionality of paraphrase granularity levelsCode0
Translating Dialectal Arabic as Low Resource Language using Word Embedding—0
Bulgarian-English and English-Bulgarian Machine Translation: System Design and Evaluation—0
Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System—0
Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language—0
Multi-Lingual Phrase-Based Statistical Machine Translation for Arabic-English—0
Measuring the Limit of Semantic Divergence for English Tweets.—0
Log-linear Models for Uyghur Segmentation in Spoken Language Translation—0
Detecting Metaphorical Phrases in the Polish Language—0
Word Embeddings as Features for Supervised Coreference Resolution—0
Corpus Creation and Initial SMT Experiments between Spanish and Shipibo-konibo—0
Parameter Transfer across Domains for Word Sense Disambiguation—0
Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing—0
A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing—0
TransBank: Metadata as the Missing Link between NLP and Traditional Translation Studies—0
Translation Memory Systems Have a Long Way to Go—0
Experiments in Non-Coherent Post-editing—0
Building Dialectal Arabic Corpora—0
Enhancing Machine Translation of Academic Course Catalogues with Terminological Resources—0
Unity in Diversity: A Unified Parsing Strategy for Major Indian Languages—0
Towards Producing Human-Validated Translation Resources for the Fula language through WordNet Linking—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