Machine Translation

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Machine Translation

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Translation Quality

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Neural Machine Translation Models

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Machine Translation Models

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Machine Translation Quality

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STELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition
Jul 3, 2026Nirhoshan Sivaroopan, Albert Zomaya, Kanchana ThilakarathnaHuman Activity Recognition Real-Time Inference
MetaHOPE: A Metaphor-Oriented Evaluation Framework for Analysing MT and LLM Translation Errors
Jul 1, 2026Jiahui Liang, Lifeng HanNeural Machine Translation Models Machine Translation
DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflows
Jun 29, 2026Ziyang Lian, Qingya Zhang, Hao Wang +5Agentic Workflows Machine Translation
Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy
Jun 28, 2026Ramakrishna Appicharla, Baban Gain, Santanu Pal +1Translation Quality Contextual
Conversational Domain Adaptation of IndicTrans2 across 21 Indic Languages via Experience Replay and Model Soups
Jun 27, 2026Aditya Pratap SinghTranslation Quality English
Structure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi
Jun 27, 2026Manasi Waghe, Danish Chandargi, Mohammad Aamir Rayyan +2Translation Quality Ghana
AI translation of literary texts is "fine", but readers still prefer human translations
Jun 24, 2026Yves Ferstler, Adam Podoxin, Ty Brassington +5Machine Translation Literature
Optimizing Abstractive Summarization With Fine-Tuned PEGASUS
Jun 24, 2026Sadiul Arefin Rafi, Naimur Rahman, Kazi Nazibul Islam +2Summarization Machine Translation Models
Neural Machine Translation for Low-Resource Tangkhul--English
Jun 24, 2026Chormi Zimik Vashai, Agniva MaitiNeural Machine Translation Models Low-Resource Languages
Measuring User's Mental Models of Speech Translation in Human-AI Collaboration
Jun 23, 2026HyoJung Han, Nishant Balepur, Jordan Boyd-Graber +1Machine Translation Speech Translation
Machine Translation and Post-Editing: Comparative Evaluation of Different MT Systems and Post-Editor Groups in Specialised Translation
Jun 22, 2026Joachim Minder, Alexandra Mestivier, Natalie KüblerMachine Translation Translation Quality
Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability
Jun 20, 2026Mahounan Pericles Adjovi, Roald Eiselen, Prasenjit MitraTranslation Quality Large Language
Rubric-as-Experts: Case-Specific MQM Rubrics for Translation Quality Evaluation
Jun 19, 2026Weilu Xu, Yunzhi Shen, Xinye Wang +2Machine Translation Quality Rubric Framework
CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation
Jun 19, 2026Yuu JinnaiMachine Translation Models Machine Translation
CzechDocs: A Multiway Parallel Dataset of Formatted Documents for Minority Languages in Czechia
Jun 18, 2026Josef Jon, Ondřej BojarMachine Translation Multilingual Data
Translating the Untranslatable: An Operationalizable Ontology for Untranslatability
Jun 15, 2026Jacob Bremerman, Brihi Joshi, Hirona Arai +2Translation Quality Ontology
Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation
Jun 15, 2026Ali Marashian, Alexis Palmer, Katharina von der WenseMachine Translation Verbalization
How Far Can Machine Translation Quality Take You? Extrinsic Discourse Evaluation in Goal-Oriented Setups
Jun 15, 2026Wafaa Mohammed, Kata Naszadi, Vlad NiculaeMachine Translation Quality Neural Machine Translation Models
Evaluating and Preserving Lexical Stress in English-to-Chinese Speech-to-Speech Translation
Jun 13, 2026Yuchen Song, Xi Chen, Mingze Li +1Speech Translation Translation Quality
Lius: Translation Model Based Instructional Lingustic Using Continual Instruction Tuning In Kupang Malay
Jun 10, 2026Joanito Agili Lopo, Yunita Sari, Guntur Budi HerwantoMultilingual Large Language Models Translation Quality
Data Synthesis and Parameter-Efficient Fine-Tuning for Low-Resource NMT: A Case Study on Q'eqchi' Mayan
Jun 8, 2026Alexander Chulzhanov, Soeren Eberhardt, Arjun MukherjeeNeural Machine Translation Models Low-Resource Languages
Beyond Accuracy: Community Perspectives on Machine Translation
Jun 8, 2026Yujun Wang, Ehud Reiter, Shimei Pan +2Machine Translation Translation Quality
ClinicalAligner26AM: A Cross-Lingual Aligner for Dataset Translation; Evidences from the MultiClinCorpus Shared Task
Jun 7, 2026François RemyCross-Lingual Alignment Large Language Model Alignment
Rewrite to Translate, Translate to Reward: Reinforcement Learning for Source Rewriting in Machine Translation
Jun 6, 2026Boxuan Lyu, Haiyue Song, Zhi Qu +3Machine Translation Quality Machine Translation
Translate-R1: Cost-Aware Translation Tool Use via Reinforcement Learning
Jun 5, 2026Pratik Jayarao, Chaitanya Dwivedi, Himanshu Gupta +5Machine Translation Models Translation Quality
Systematic LLM Translation of Legacy Scientific Code to Differentiable Frameworks: Application to a Land Surface Model
Jun 4, 2026Aya Lahlou, Linnia Hawkins, Pierre GentineDifferentiable Programming Machine Translation Models
"Chi nas dal soch el sent de legn" -- Auditing Text Corpora for Lombard
Jun 4, 2026Edoardo Signoroni, Pavel RychlýText Corpora Low-Resource Languages
English-to-Prakrit Machine Translation via Multilingual Transfer Learning
Jun 4, 2026Om Choksi, Smit Kareliya, Shrikant Malviya +1Machine Translation Text Corpora
Large Language Models are Perplexed by some Political Parties
Jun 4, 2026Paul Lerner, François YvonLarge Language Model Bias Ideology
Emotion-Aware Image Generation from Korean Diary Text via LLM-based Prompt Translation and LoRA Fine-Tuning
Jun 4, 2026Jihun Cho, Soo-Yeon Jeong, Sun-Young IhmText-To-Image Text Generation
Multilingual Coreference Resolution via Cycle-Consistent Machine Translation
Jun 3, 2026Adriana-Valentina Costache, Eduard Poesina, Silviu-Florin Gheorghe +2Coreference Resolution Machine Translation
ComplexityMT: Benchmarking the Interaction Between Text Complexity and Machine Translation
Jun 3, 2026Joseph Marvin Imperial, Junhong Liang, Belal Shoer +9Machine Translation Machine Translation Quality
Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation?
Jun 2, 2026Renhao Pei, Yihong Liu, Sampo Pyysalo +2Machine Translation Linguistics
Beyond "To whom it may concern": Tailoring Machine Translation to Audience and Intent
Jun 2, 2026Raphael Merx, Ekaterina Vylomova, Trevor CohnNeural Machine Translation Models Machine Translation Models
Benchmarking Speech-to-Speech Translation Models
Jun 2, 2026Alkis Koudounas, Hayato Futami, Quentin Jodelet +3Multilingual Benchmark Translation Quality
G^2C-MT: Graph-Guided Context Selection for Document-Level Machine Translation
Jun 2, 2026Baijun Ji, Zixuan Zhou, Xiangyu Duan +4Machine Translation Machine Translation Quality
Worlds Within Words: Translating Culture in Ancient Chinese Texts with Multi-Agent Coordination
May 31, 2026Xiaoqi He, Kaixin Lan, Mu You +3Neural Machine Translation Models Cultural Knowledge
From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication
May 31, 2026Máté Metzger, Nadnapang Phophichit, Hansa DhammahasoTranslation Quality Adjudication
LLMs in the Real World: Evaluating "AI" in Emergency Contexts
May 29, 2026Sara Court, Lara Downing, Micha ElsnerMachine Translation Emergency Evacuations
Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows
May 29, 2026Yuri Balashov, Rex VanHorn, Mingxi Xu +1Machine Translation Models Neural Machine Translation Models
"Înţelegi Româneşte?'' A Recipe for Romanian Vision-Language Models
May 29, 2026Mihai Masala, Marius Leordeanu, Mihai Dascalu +1Large Vision Language Models Machine Translation
Unlocking Fine-Grained Translation Quality Estimation in LRMs through Mutually Boosting Implicit and Explicit Reasoning
May 29, 2026Renfei Dang, Xinye Wang, Zhejian Lai +5Machine Translation Quality Reasoning Chain
Loong: A Human-Like Long Document Translation Agent with Observe-and-Act Adaptive Context Selection
May 28, 2026Yutong Wang, Xuebo Liu, Derek F. Wong +6Machine Translation Models Efficient Long-Context Inference
AfriScience-MT: Towards Decolonizing Science in Africa through Text Translation
May 28, 2026Idris Abdulmumin, Tajuddeen Gwadabe, Shamsuddeen Hassan Muhammad +11African Languages Translation Quality
HardMTBench: Stress-Testing Chinese-English Translation on Knowledge-Intensive Domains
May 27, 2026Zheng Li, Mao Zheng, Mingyang Song +1Neural Machine Translation Models Multilingual Benchmark
Extracting Small Translation Specialists from LLMs by Aggressively Pruning Experts
May 27, 2026Liu O. Martin, Lucas Bandarkar, Nanyun PengMixture-Of-Expert Language Models Machine Translation Models
Cultural Fidelity in English-to-Hindi Translation: A Preservation-Fluency Frontier for Gender Recoverability
May 26, 2026Samyak Savi, Chavi Gupta, Shreyas Gantayet +2Translation Quality Gender
Learning to Translate from Soft to Hard LLM Prompts
May 26, 2026Pitipat Kongsomjit, Suryansh Goyal, Jacob WhitehillMachine Translation Models Prompt Tuning
Testing the Deliteralization Hypothesis in Human and Machine Translation
May 25, 2026Malik Marmonier, Rachel Bawden, Benoît SagotNeural Machine Translation Models Machine Translation
Translators as Invisible Teachers of AI: Copyright, Translation Memory, and the Political Economy of Linguistic Data
May 24, 2026Masaru YamadaTranslation Quality Rights
GRAIL: AI translation for scientists application workflow on satellite data
May 23, 2026Zhuocheng Shang, Ahmed EldawyMachine Translation Scientific Agents
ROC Analysis for Evaluating Translation Quality Estimation Systems
May 23, 2026Evelyn Y. Garland, Carola F. BergerMachine Translation Quality Auc-Roc
Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild
May 21, 2026Mao Zheng, Zheng Li, Tao Chen +10Machine Translation Models
Smarter edits? Post-editing with error highlights and translation suggestions
May 20, 2026Fleur V. J. van Tellingen, Gautam Ranka, Dora Žugčić +4Machine Translation Quality Translation Quality
Enhancing Scientific Discourse: Machine Translation for the Scientific Domain
May 20, 2026Dimitris Roussis, Sokratis Sofianopoulos, Stelios PiperidisNeural Machine Translation Models Machine Translation
Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared task
May 20, 2026Aashish Dhawan, Christopher Driggers-Ellis, Dzmitry Kasinets +2Video Captioning Machine Translation Models
Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models
May 18, 2026Spyridon Mavromatis, Sokratis Sofianopoulos, Prokopis Prokopidis +1Ancient Greek Neural Machine Translation Models
Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Design
May 16, 2026Masaru YamadaTranslation Quality Machine Translation
Reference-Free Reinforcement Learning Fine-Tuning for MT: A Seq2Seq Perspective
May 15, 2026Ernesto Garcia-Estrada, Carlos Escolano, José A. R. FonallosaNeural Machine Translation Models Multilingual Language Models
ForMaT: Dataset for Visually-Grounded Multilingual PDF Translation
May 15, 2026Michał Ciesiółka, Dawid Wiśniewski, Adrian Charkiewicz +1Machine Translation Models Multimodal Learning

Jul 3, 2026 · cs.LGJ/K move · Enter open · S save

STELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition

Nirhoshan Sivaroopan, Albert Zomaya, Kanchana Thilakarathna

The University of Sydney · Australia

HAR is increasingly expected to run continuously on edge devices, yet recent LLM-based methods remain hard to deploy: raw sensor prompts are long, cloud inference adds latency and privacy risk, and fine-tuned LLM pipelines turn general-purpose models into task-specific classifiers. We present STELLA, an efficient sensor-to-LLM translation framework for on-device HAR that shifts the burden from LLM adaptation to sensor tokenization. A lightweight hierarchical tokenizer compresses an entire multi-channel inertial window into a fixed set of compact latent sensor tokens, which are projected into the embedding space of a frozen pretrained LLM and combined with a natural-language prompt for label scoring. This preserves activity-relevant temporal and cross-channel structure while keeping LLM-side computation predictable across sensor configurations. STELLA also supports on-device personalization, adapting only the lightweight tokenizer on small amounts of user-specific labelled data and augmenting inference with a local retrieval context, keeping the LLM, user data, and retrieval on device. Across seven public HAR datasets and eight benchmark settings, STELLA achieves new state-of-the-art performance, improving over prior methods by up to 11.83% F1; on-device personalization yields up to a further 21.91% F1 as user data accumulates after deployment. STELLA also outperforms representative time-series tokenizers under the same LLM pipeline and achieves real-time inference under practical mobile and edge budgets, showing that efficient sensor tokenization is a practical path toward accurate, private, and personalized LLM-based HAR on edge devices.

Human Activity Recognition Real-Time Inference Latent Reasoning Tokens Star-Kv Machine Translation Models Human

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