{"total":42,"rows":[{"id":"2104.06001","title":"Gender Bias in Machine Translation","created":"2021-04-13","cited_by_count":117,"area":null},{"id":"2209.13654","title":"Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric","created":"2022-09-27","cited_by_count":56,"area":null},{"id":"2105.03482","title":"Measuring and Increasing Context Usage in Context-Aware Machine Translation","created":"2021-05-07","cited_by_count":48,"area":null},{"id":"2104.06951","title":"Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey","created":"2021-04-14","cited_by_count":46,"area":null},{"id":"2301.12971","title":"Quantifying Context Mixing in Transformers","created":"2023-01-30","cited_by_count":43,"area":null},{"id":"2211.01355","title":"MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation","created":"2022-11-02","cited_by_count":38,"area":null},{"id":"2109.07446","title":"When Does Translation Require Context? A Data-driven, Multilingual Exploration","created":"2021-09-15","cited_by_count":36,"area":null},{"id":"2301.10075","title":"Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges","created":"2023-01-24","cited_by_count":22,"area":null},{"id":"2105.06977","title":"Do Context-Aware Translation Models Pay the Right Attention?","created":"2021-05-14","cited_by_count":21,"area":null},{"id":"2310.12127","title":"A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation","created":"2023-10-18","cited_by_count":19,"area":null},{"id":"2412.18495","title":"How \"Real\" is Your Real-Time Simultaneous Speech-to-Text Translation System?","created":"2024-12-24","cited_by_count":17,"area":null},{"id":"2106.03717","title":"Diverse Pretrained Context Encodings Improve Document Translation","created":"2021-06-07","cited_by_count":13,"area":null},{"id":"2504.13752","title":"Learning to Attribute with Attention","created":"2025-04-18","cited_by_count":13,"area":null},{"id":"2103.17151","title":"Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models","created":"2021-03-31","cited_by_count":12,"area":null},{"id":"2105.01691","title":"Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution","created":"2021-05-04","cited_by_count":11,"area":null},{"id":"2109.05712","title":"Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information","created":"2021-09-13","cited_by_count":9,"area":null},{"id":"2402.01404","title":"On Measuring Context Utilization in Document-Level MT Systems","created":"2024-02-02","cited_by_count":9,"area":null},{"id":"2306.05183","title":"Improving Long Context Document-Level Machine Translation","created":"2023-06-08","cited_by_count":8,"area":null},{"id":"2109.10341","title":"Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents","created":"2021-09-21","cited_by_count":7,"area":null},{"id":"2210.13388","title":"Focused Concatenation for Context-Aware Neural Machine Translation","created":"2022-10-24","cited_by_count":7,"area":null},{"id":"2310.01188","title":"Quantifying the Plausibility of Context Reliance in Neural Machine Translation","created":"2023-10-02","cited_by_count":7,"area":null},{"id":"2505.08546","title":"Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation","created":"2025-05-13","cited_by_count":7,"area":null},{"id":"2508.13079","title":"DocHPLT: A Massively Multilingual Document-Level Translation Dataset","created":"2025-08-18","cited_by_count":7,"area":null},{"id":"2302.06459","title":"Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation","created":"2023-02-13","cited_by_count":6,"area":null},{"id":"2309.10770","title":"FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection","created":"2023-09-19","cited_by_count":6,"area":null},{"id":"2209.10608","title":"Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora","created":"2022-09-21","cited_by_count":5,"area":null},{"id":"2305.13751","title":"Challenges in Context-Aware Neural Machine Translation","created":"2023-05-23","cited_by_count":5,"area":null},{"id":"2310.15494","title":"TRAMS: Training-free Memory Selection for Long-range Language Modeling","created":"2023-10-24","cited_by_count":5,"area":null},{"id":"2102.10979","title":"Towards Personalised and Document-level Machine Translation of Dialogue","created":"2021-02-11","cited_by_count":4,"area":null},{"id":"2407.03076","title":"A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning","created":"2024-07-03","cited_by_count":4,"area":null},{"id":"2210.08431","title":"Modeling Context With Linear Attention for Scalable Document-Level Translation","created":"2022-10-16","cited_by_count":3,"area":null},{"id":"2310.11141","title":"Long-form Simultaneous Speech Translation: Thesis Proposal","created":"2023-10-17","cited_by_count":3,"area":null},{"id":"2306.05077","title":"Improving Language Model Integration for Neural Machine Translation","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2109.02995","title":"Revisiting Context Choices for Context-aware Machine Translation","created":"2021-09-07","cited_by_count":1,"area":null},{"id":"2308.06063","title":"A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation","created":"2023-08-11","cited_by_count":1,"area":null},{"id":"2504.14804","title":"Automatic Evaluation Metrics for Document-level Translation: Overview, Challenges and Trends","created":"2025-04-21","cited_by_count":1,"area":null},{"id":"2511.07230","title":"Discourse Graph Guided Document Translation with Large Language Models","created":"2025-11-10","cited_by_count":1,"area":null},{"id":"2603.17952","title":"Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2606.29489","title":"Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy","created":"2026-06-28","cited_by_count":1,"area":null},{"id":"2306.05116","title":"On Search Strategies for Document-Level Neural Machine Translation","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2506.07583","title":"Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2609.12674","title":"Doc2FRC: Length-Consistent Document-Level Machine Translation via Fixed-Range Chunking","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}