Who cites «COMET: A Neural Framework for MT Evaluation» · page 8
Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7 · 8 · 9 · 10 · 11 · 12
- Prompting Large Language Models for Idiomatic Translation — 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology
- Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
- PyMarian: Fast Neural Machine Translation and Evaluation in Python — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Quality and Quantity of Machine Translation References for Automatic Metrics — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
- Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- REFeREE: A REference-FREE Model-Based Metric for Text Simplification — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Recent Highlights in Multilingual and Multimodal Speech Translation — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
- Recovering document annotations for sentence-level bitext — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- RepEval: Effective Text Evaluation with LLM Representation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- ReproHum \#0033-3: Comparable Relative Results with Lower Absolute Values in a Reproduction Study — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
- ReproHum \#0892-01: The painful route to consistent results: A reproduction study of human evaluation in NLG — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
- Reranking Laws for Language Generation: A Communication-Theoretic Perspective — 2024 · arXiv:2409.07131
- Revisiting Demonstration Selection Strategies in In-Context Learning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- RoMantra: Optimizing Neural Machine Translation for Low-Resource Languages through Romanization — 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)
- Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation — 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024
- Réduction des répétitions dans la Traduction Automatique Neuronale — 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position
- SCALE: Synergized Collaboration of Asymmetric Language Translation Engines — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- SCIR-MT's Submission for WMT24 General Machine Translation Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
- Self-Modifying State Modeling for Simultaneous Machine Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Sequence Shortening for Context-Aware Machine Translation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
- Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Simultaneous Machine Translation with Large Language Models — 2024 · Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association
- Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling — 2024 · arXiv:2410.11325
- SpeechQE: Estimating the Quality of Direct Speech Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Task Arithmetic for Language Expansion in Speech Translation — 2024 · arXiv:2409.11274
- Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- The Effects of Pretraining in Video-Guided Machine Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- The SETU-ADAPT Submissions to WMT 2024 Chat Translation Tasks — 2024 · Proceedings of the Ninth Conference on Machine Translation
- The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
- The SETU-DCU Submissions to IWSLT 2024 Low-Resource Speech-to-Text Translation Tasks — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
- The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs — 2024 · Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
- Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for Maltese — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
- Toucan: Many-to-Many Translation for 150 African Language Pairs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent — 2024 · arXiv:2407.21646
- Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Towards Demonstration-Aware Large Language Models for Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST) — 2024 · arXiv:2412.18367
- Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages — 2024 · arXiv:2404.02512
- Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
- Translate your Own: a Post-Editing Experiment in the NLP domain — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
- Translate-and-Revise: Boosting Large Language Models for Constrained Translation — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
- Translation of Multifaceted Data without Re-Training of Machine Translation Systems — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
- Understanding How Positional Encodings Work in Transformer Model — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Using a multilingual literary parallel corpus to train NMT systems — 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology
- Utilizing Longer Context than Speech Bubbles in Automated Manga Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- UvA-MT's Participation in the WMT24 General Translation Shared Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
- WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- What Have We Achieved on Non-autoregressive Translation? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- What do Large Language Models Need for Machine Translation Evaluation? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Word Order in English-Japanese Simultaneous Interpretation: Analyses and Evaluation using Chunk-wise Monotonic Translation — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
- mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- mbrs: A Library for Minimum Bayes Risk Decoding — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- xTower: A Multilingual LLM for Explaining and Correcting Translation Errors — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Étude sur la normalisation lexicale de contenus produits par les utilisateurs [A Study on the Lexical Normalisation of User-Generated Content] — 2024
- 融合确定性因子及区域密度的k-最近邻机器翻译方法(A k-Nearest-Neighbor Machine Translation Method Combining Certainty Factor and Region Density) — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
- A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography — 2023 · arXiv:2311.16865
- A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
- A Context-Aware Annotation Framework for Customer Support Live Chat Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
- A Holistic Approach to Reference-Free Evaluation of Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- A Research-Based Guide for the Creation and Deployment of a Low-Resource Machine Translation System — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
- A Study on the Effectiveness of Large Language Models for Translation with Markup — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
- A Survey on Zero Pronoun Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- ACES: Translation Accuracy Challenge Sets at WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
- An Empirical Study of Translation Hypothesis Ensembling with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Asking Clarification Questions to Handle Ambiguity in Open-Domain QA — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
- Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
- Automating Behavioral Testing in Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
- BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
- BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation — 2023 · arXiv:2305.15011
- Bad MT Systems are Good for Quality Estimation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
- Benchmarking Foundation Models with Language-Model-as-an-Examiner — 2023 · arXiv:2306.04181
- Benchmarking Machine Translation with Cultural Awareness — 2023 · arXiv:2305.14328
- Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- Best-k Search Algorithm for Neural Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
- Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Bridging the Domain Gaps in Context Representations for $k$-Nearest Neighbor Neural Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Bridging the Gap between Position-Based and Content-Based Self-Attention for Neural Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation — 2023
- CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023