Copertina

A Representation Level Analysis of NMT Model Robustness to Grammatical Errors

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Issam, Abderrahmane, Semerci, Yusuf Can, Scholtes, Jan, Spanakis, Gerasimos
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text
di: Issam, Abderrahmane, et al.
Pubblicazione: (2026)

Language Models as Artificial Learners: Investigating Crosslinguistic Influence
di: Issam, Abderrahmane, et al.
Pubblicazione: (2026)

DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment
di: Issam, Abderrahmane, et al.
Pubblicazione: (2025)

Fixed and Adaptive Simultaneous Machine Translation Strategies Using Adapters
di: Issam, Abderrahmane, et al.
Pubblicazione: (2024)

Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models
di: Mąka, Paweł, et al.
Pubblicazione: (2024)

You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
di: Mąka, Paweł, et al.
Pubblicazione: (2025)

Sequence Shortening for Context-Aware Machine Translation
di: Mąka, Paweł, et al.
Pubblicazione: (2024)

From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Models
di: Khalak, Abdulmuizz, et al.
Pubblicazione: (2026)

Dutch CrowS-Pairs: Adapting a Challenge Dataset for Measuring Social Biases in Language Models for Dutch
di: Strazda, Elza, et al.
Pubblicazione: (2025)

ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
di: Louis, Antoine, et al.
Pubblicazione: (2024)

Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis
di: Bertaglia, Thales, et al.
Pubblicazione: (2026)

Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding
di: Alali, Abdulhai, et al.
Pubblicazione: (2026)

Triple-Encoders: Representations That Fire Together, Wire Together
di: Erker, Justus-Jonas, et al.
Pubblicazione: (2024)

Computational Studies in Influencer Marketing: A Systematic Literature Review
di: Gui, Haoyang, et al.
Pubblicazione: (2025)

Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal Domain
di: Louis, Antoine, et al.
Pubblicazione: (2024)

Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation
di: Goto, Takumi, et al.
Pubblicazione: (2026)

MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
di: Saxena, Vageesh, et al.
Pubblicazione: (2024)

Implicit Representations of Grammaticality in Language Models
di: Wang, Yingshan Susan, et al.
Pubblicazione: (2026)

Chinese Grammatical Error Correction: A Survey
di: Qiu, Mengyang, et al.
Pubblicazione: (2025)

Revisiting Classification Taxonomy for Grammatical Errors
di: Zou, Deqing, et al.
Pubblicazione: (2025)

Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning
di: Thil, Lucas-Andreï, et al.
Pubblicazione: (2024)

IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator
di: Sakai, Yusuke, et al.
Pubblicazione: (2025)

Multi-head Sequence Tagging Model for Grammatical Error Correction
di: Al-Sabahi, Kamal, et al.
Pubblicazione: (2024)

Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing
di: Gui, Haoyang, et al.
Pubblicazione: (2025)

Revisiting Meta-evaluation for Grammatical Error Correction
di: Kobayashi, Masamune, et al.
Pubblicazione: (2024)

JELV: A Judge of Edit-Level Validity for Evaluation and Automated Reference Expansion in Grammatical Error Correction
di: Zhan, Yuhao, et al.
Pubblicazione: (2025)

On the Acquisition of Shared Grammatical Representations in Bilingual Language Models
di: Arnett, Catherine, et al.
Pubblicazione: (2025)

Neural Grammatical Error Correction for Romanian
di: Cotet, Teodor-Mihai, et al.
Pubblicazione: (2026)

Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok
di: Gui, Haoyang, et al.
Pubblicazione: (2024)

LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction
di: Wang, Yixuan, et al.
Pubblicazione: (2024)

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction
di: Kobayashi, Masamune, et al.
Pubblicazione: (2024)

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction
di: Li, Yinghui, et al.
Pubblicazione: (2024)

Efficient and Interpretable Grammatical Error Correction with Mixture of Experts
di: Qorib, Muhammad Reza, et al.
Pubblicazione: (2024)

Multi-Dimensional Evaluation of LLMs for Grammatical Error Correction
di: Labib, Adnan, et al.
Pubblicazione: (2026)

Detection-Correction Structure via General Language Model for Grammatical Error Correction
di: Li, Wei, et al.
Pubblicazione: (2024)

GPT-3.5 for Grammatical Error Correction
di: Katinskaia, Anisia, et al.
Pubblicazione: (2024)

Grammatical Error Feedback: An Implicit Evaluation Approach
di: Bannò, Stefano, et al.
Pubblicazione: (2024)

gec-metrics: A Unified Library for Grammatical Error Correction Evaluation
di: Goto, Takumi, et al.
Pubblicazione: (2025)

The CoNLL-2013 Shared Task on Grammatical Error Correction
di: Ng, Hwee Tou, et al.
Pubblicazione: (2025)

Reliability Crisis of Reference-free Metrics for Grammatical Error Correction
di: Goto, Takumi, et al.
Pubblicazione: (2025)