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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 4351–4400 of 10752 papers

TitleStatusHype
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—0
Adversarial Training on Disentangling Meaning and Language Representations for Unsupervised Quality Estimation—0
Diagnosing Causes of Reading Difficulty using Bayesian Networks—0
Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach—0
DGT-TM: A freely Available Translation Memory in 22 Languages—0
DFKI's system for WMT16 IT-domain task, including analysis of systematic errors—0
DFKI's SMT System for WMT 2012—0
DFKI's experimental hybrid MT system for WMT 2015—0
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM—0
A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation—0
Development of Telugu-Tamil Transfer-Based Machine Translation system: With Special reference to Divergence Index—0
Development of Natural Language Processing Tools for Cook Islands M\=aori—0
Development of Hybrid Algorithm for Automatic Extraction of Multiword Expressions from Monolingual and Parallel Corpus of English and Punjabi—0
Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media—0
An English-Swahili parallel corpus and its use for neural machine translation in the news domain—0
Development of a WAZOBIA-Named Entity Recognition System—0
Development of a Persian Syntactic Dependency Treebank—0
Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model—0
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation—0
An English-Portuguese parallel corpus of questions: translation guidelines and application in SMT—0
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi—0
Development of a classifiers/quantifiers dictionary towards French-Japanese MT—0
Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits—0
Development and Application of a Cross-language Document Comparability Metric—0
Developing the Bangla RST Discourse Treebank—0
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits—0
Developing Parallel Sense-tagged Corpora with Wordnets—0
Developing neural machine translation models for Hungarian-English—0
Developing Machine Translation Engines for Multilingual Participatory Spaces—0
Developing language technology tools and resources for a resource-poor language: Sindhi—0
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain—0
An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition—0
A Continuous Improvement Framework of Machine Translation for Shipibo-Konibo—0
A Call for More Rigor in Unsupervised Cross-lingual Learning—0
4FX: Light Verb Constructions in a Multilingual Parallel Corpus—0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Developing Language Resources with Citizen Linguistics in Austria -- A Case Study—0
Developing Corpus-based Translation Methods between Informal and Formal Mathematics: Project Description—0
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications—0
Developing automatic verbatim transcripts for international multilingual meetings: an end-to-end solution—0
Developing an Open-Source FST Grammar for Verb Chain Transfer in a Spanish-Basque MT System—0
Balancing Cost and Benefit with Tied-Multi Transformers—0
End-to-End Video Captioning—0
Developing a Neural Machine Translation system for Irish—0
Developing a Neural Machine Translation Service for the 2017-2018 European Union Presidency—0
Baidu Translate: Research and Products—0
Baidu Neural Machine Translation Systems for WMT19—0
An End-to-end Approach to Learning Semantic Frames with Feedforward Neural Network—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