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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 7051–7100 of 10752 papers

TitleStatusHype
Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora—0
Controlling Human Perception of Basic User Traits—0
Idiom-Aware Compositional Distributed Semantics—0
Identifying Where to Focus in Reading Comprehension for Neural Question Generation—0
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output—0
Segmentation-Free Word Embedding for Unsegmented Languages—0
Further Investigation into Reference Bias in Monolingual Evaluation of Machine TranslationCode0
Translation Divergences in Chinese--English Machine Translation: An Empirical Investigation—0
Action Classification and Highlighting in Videos—0
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation—0
Look-ahead Attention for Generation in Neural Machine Translation—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
TANKER: Distributed Architecture for Named Entity Recognition and Disambiguation—0
Neural Machine Translation Training in a Multi-Domain Scenario—0
Machine Translation in Indian Languages: Challenges and Resolution—0
Subspace Approximation for Approximate Nearest Neighbor Search in NLP—0
Handling Homographs in Neural Machine Translation—0
Cold Fusion: Training Seq2Seq Models Together with Language Models—0
The Helsinki Neural Machine Translation SystemCode0
Neural Machine Translation with Extended Context—0
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVMCode0
Neural machine translation for low-resource languages—0
Natural Language Processing: State of The Art, Current Trends and ChallengesCode0
Dialogue Act Segmentation for Vietnamese Human-Human Conversational Texts—0
Cross-lingual Entity Alignment via Joint Attribute-Preserving EmbeddingCode0
Statistical Vs Rule Based Machine Translation; A Case Study on Indian Language Perspective—0
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search—0
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation—0
Memory-augmented Neural Machine Translation—0
Translating Phrases in Neural Machine Translation—0
Neural Machine Translation with Word Predictions—0
A Syllable-based Technique for Word Embeddings of Korean Words—0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task—0
Dynamic Data Selection for Neural Machine TranslationCode0
The University of Edinburgh's Neural MT Systems for WMT17—0
Neural Optimizer Search using Reinforcement Learning—0
Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames—0
Detecting Untranslated Content for Neural Machine Translation—0
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation—0
Proceedings of the First Workshop on Neural Machine Translation—0
Cost Weighting for Neural Machine Translation Domain Adaptation—0
On the ``Calligraphy'' of Books—0
Users and Data: The Two Neglected Children of Bilingual Natural Language Processing Research—0
Overview of the Second BUCC Shared Task: Spotting Parallel Sentences in Comparable Corpora—0
Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters—0
A parallel collection of clinical trials in Portuguese and English—0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora—0
Toward a Comparable Corpus of Latvian, Russian and English Tweets—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