Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 4

1514 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Machine translation of Korean statutes examined from the perspective of quality and productivity — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
NICT-AI4B's Submission to the Indic MT Shared Task in WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
Neural Machine Translation Methods for Translating Text to Sign Language Glosses — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
On Search Strategies for Document-Level Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
OpenTIPE: An Open-source Translation Framework for Interactive Post-Editing Research — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
PE effort and neural-based automatic MT metrics: do they correlate? — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
PePe: Personalized Post-editing Model utilizing User-generated Post-edits — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Poor Man''s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
PromptST: Abstract Prompt Learning for End-to-End Speech Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Quality Estimation-Assisted Automatic Post-Editing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Rethinking Round-Trip Translation for Machine Translation Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Songs Across Borders: Singable and Controllable Neural Lyric Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties — 2023 · Proceedings of ArabicNLP 2023
Tailoring Domain Adaptation for Machine Translation Quality Estimation — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative — 2023 · Proceedings of the Eighth Conference on Machine Translation
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level — 2023 · Proceedings of the Eighth Conference on Machine Translation
Transfer learning in low-resourced MT: An empirical study — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
Unsupervised Translation Quality Estimation Exploiting Synthetic Data and Pre-trained Multilingual Encoder — 2023 · arXiv:2311.05117
Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
VisText: A Benchmark for Semantically Rich Chart Captioning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
f-Divergence Minimization for Sequence-Level Knowledge Distillation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings — 2022 · Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022)
A Quality Estimation and Quality Evaluation Tool for the Translation Industry — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
A Template-based Method for Constrained Neural Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
A large-scale computational study of content preservation measures for text style transfer and paraphrase generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
An Overview on Machine Translation Evaluation — 2022 · arXiv:2202.11027
Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods — 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DEMETR: Diagnosing Evaluation Metrics for Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Discourse-Aware Soft Prompting for Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Does partial pretranslation can improve low ressourced-languages pairs? — 2022 · Proceedings of the 9th Workshop on Asian Translation
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Domain-Specific Text Generation for Machine Translation — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
English-Russian Data Augmentation for Neural Machine Translation — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Workshop 2: Corpus Generation and Corpus Augmentation for Machine Translation)
Evaluating Subtitle Segmentation for End-to-end Generation Systems — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Findings of the WMT 2022 Shared Task on Automatic Post-Editing — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Findings of the WMT 2022 Shared Task on Quality Estimation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Generation of Patient After-Visit Summaries to Support Physicians — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions — 2022 · arXiv:2211.05201
IIT Bombay's WMT22 Automatic Post-Editing Shared Task Submission — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers — 2022 · Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
Investigating automatic and manual filtering methods to produce MT-ready glossaries from existing ones — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Is Encoder-Decoder Redundant for Neural Machine Translation? — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Knowledge Distillation for Sustainable Neural Machine Translation — 2022 · Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)
Linguistically-Motivated Yorùbá-English Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Literary translation as a three-stage process: machine translation, post-editing and revision — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
MS-COMET: More and Better Human Judgements Improve Metric Performance — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
MSCTD: A Multimodal Sentiment Chat Translation Dataset — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MTLens: Machine Translation Output Debugging — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages — 2022 · arXiv:2208.00463
Multi-Granularity Optimization for Non-Autoregressive Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Multilingual Abstract Meaning Representation for Celtic Languages — 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022
NJUNLP's Participation for the WMT2022 Quality Estimation Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Non-Autoregressive Neural Machine Translation: A Call for Clarity — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning — 2022 · arXiv:2202.00535
On Assessing and Developing Spoken `Grammatical Error Correction' Systems — 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation — 2022 · arXiv:2212.10257
Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
Passing Parser Uncertainty to the Transformer: Labeled Dependency Distributions for Neural Machine Translation — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Pretrained Speech Encoders and Efficient Fine-tuning Methods for Speech Translation: UPC at IWSLT 2022 — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
R2D2: Robust Data-to-Text with Replacement Detection — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement — 2022 · arXiv:2209.05695
Revision for Concision: A Constrained Paraphrase Generation Task — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
Robust MT Evaluation with Sentence-level Multilingual Augmentation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Scheduled Multi-task Learning for Neural Chat Translation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Self-supervised Graph Masking Pre-training for Graph-to-Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Semantic Similarity Based Filtering for Turkish Paraphrase Dataset Creation — 2022 · Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)
Sous-titrage automatique : étude de stratégies d''adaptation aux genres télévisuels [Automatic closed captioning: a study of strategies for televisual genre adaptation] — 2022
Standard German Subtitling of Swiss German TV content: the PASSAGE Project — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference