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 10001–10050 of 10752 papers

TitleStatusHype
Coordination Structures in Dependency Treebanks—0
Advancements in Reordering Models for Statistical Machine Translation—0
Automatic Interpretation of the English Possessive—0
Scalable Decipherment for Machine Translation via Hash Sampling—0
Distortion Model Considering Rich Context for Statistical Machine Translation—0
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation—0
Human and Automatic Evaluation of English-Hindi Machine Translation—0
Rule Based Transliteration Scheme for English to Punjabi—0
Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration—0
Intelligent Hybrid Man-Machine Translation Quality Estimation—0
Computing the Most Probable String with a Probabilistic Finite State Machine—0
Stochastic Bi-Languages to model Dialogs—0
A Convexity-based Generalization of Viterbi for Non-Deterministic Weighted Automata—0
An open diachronic corpus of historical Spanish: annotation criteria and automatic modernisation of spelling—0
A fully discriminative training framework for Statistical Machine Translation (Un cadre d'apprentissage int\'egralement discriminant pour la traduction statistique) [in French]—0
Improving Translation to Morphologically Rich Languages (Am\'eliorer la traduction des langages morphologiquement riches) [in French]—0
N-gram Language Models and POS Distribution for the Identification of Spanish Varieties (Ngrammes et Traits Morphosyntaxiques pour la Identification de Vari\'et\'es de l'Espagnol) [in French]—0
Pre-processing and Language Analysis for Arabic to French Statistical Machine Translation (Traduction automatique statistique pour l'arabe-fran am\'elior\'ee par le pr\'etraitement et l'analyse de la langue) [in French]—0
Anaphora Resolution for Machine Translation (R\'esolution d'anaphores et traitement des pronoms en traduction automatique \`a base de r\`egles) [in French]—0
Discriminative statistical approaches for multilingual speech understanding (Approches statistiques discriminantes pour l'interpr\'etation s\'emantique multilingue de la parole) [in French]—0
A corpus of post-edited translations (Un corpus d'erreurs de traduction) [in French]—0
Mining a Bilingual Lexicon of MultiWord Expressions : A Statistical Machine Translation Evaluation Perspective (Acquisition de lexique bilingue d'expressions polylexicales: Une application \`a la traduction automatique statistique) [in French]—0
Driven Decoding for machine translation (Vers un d\'ecodage guid\'e pour la traduction automatique) [in French]—0
Spanish DAL: A Spanish Dictionary of Affect in Language—0
Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries—0
A Formal Characterization of Parsing Word Alignments by Synchronous Grammars with Empirical Evidence to the ITG Hypothesis.—0
Determining Compositionality of Word Expressions Using Word Space Models—0
A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation—0
Identifying Pronominal Verbs: Towards Automatic Disambiguation of the Clitic `se' in Portuguese—0
A Semantic Evaluation of Machine Translation Lexical Choice—0
Applying Machine Translation Metrics to Student-Written Translations—0
Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation—0
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars—0
Automatic Identification of Bengali Noun-Noun Compounds Using Random Forest—0
Syntactic Identification of Occurrences of Multiword Expressions in Text using a Lexicon with Dependency Structures—0
Synchronous Linear Context-Free Rewriting Systems for Machine Translation—0
Translating Government Agencies' Tweet Feeds: Specificities, Problems and (a few) Solutions—0
Taste of Two Different Flavours: Which Manipuri Script works better for English-Manipuri Language pair SMT Systems?—0
Subjectivity and Sentiment Analysis of Modern Standard Arabic and Arabic Microblogs—0
UniMelb\_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity—0
UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?—0
UMBC\_EBIQUITY-CORE: Semantic Textual Similarity Systems—0
UNIBA-CORE: Combining Strategies for Semantic Textual Similarity—0
UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags—0
UMCC\_DLSI: Textual Similarity based on Lexical-Semantic features—0
HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10—0
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity—0
IBM\_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity—0
ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures—0
SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT—0
Show:102550
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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