Papers Machine Translation
“Machine Translation” 태그가 달린 논문 11,223편 · 필터 해제
Contrastive ESA: Human Evaluation of Multiple Translations at Once
Current human evaluation of machine translation typically assesses single outputs in isolation, a paradigm that suffers from high annotator noise and cost. We introduce Contrastive Error Span Annotation (cESA), a protoco…
Machine TranslationSystematic Analysis of Large Language Models and Transformer-Based Machine Translation for English-Tamil and Tamil-English Across Diverse Datasets
The challenge of Machine Translation for low resource languages such as Tamil is primarily caused by the restricted amount of parallel data for these languages, as well as their substantial amount of domain variation and…
Machine TranslationAn empirical investigation into the properties of standard word embeddings
The embedding of word sequences into continuous vector spaces has been one of the most important developments in Natural Language Processing in the recent past. Such embeddings have found application in areas such as Aut…
Machine TranslationSpeech RecognitionSentiment AnalysisCultureTalk-ID: A Multi-Task Dialogue Benchmark for Cultural Commonsense in Indonesian Local Languages
Culture is lived through conversation, yet existing Indonesian cultural commonsense benchmarks evaluate LLMs on short and isolated prompts, stripping away the dialogic context in which cultural nuances actually surface. …
Machine TranslationOn the Systematic Challenges of Culturally Loaded Machine Translation: Dream of the Red Chamber as the Cultural Lens
Culturally loaded translation poses unique challenges for machine translation (MT), as meanings are deeply embedded in socio-cultural contexts beyond surface linguistic forms. Although large language models (LLMs) have e…
Machine TranslationToken-Level Off-Policy Learning for Faithful Generation Under Distribution Shift
We propose Token-Level Off-Policy Labeling (TOPL), an off-policy training paradigm that reframes post-training as a token-level correctness prediction task. Our key intuition is that by training the model to distinguish …
Document SummarizationMachine TranslationAndha-Dhun: A First Look at Audio Descriptions in Hindi
Audio Descriptions (ADs) narrate visual content for Blind and Low Vision (BLV) audiences during gaps in audiovisual media. There is growing momentum around ADs in movies and TV shows, and with mandates from India's Centr…
Machine TranslationCoPiT: Cognitive Pivot Translation for Digraphic Low-Resource Mongolian in the Traditional Script
Low-resource languages remain challenging for machine translation, and Mongolian is a representative case. As a digraphic language, Mongolian is written in both Cyrillic and Traditional scripts, which exhibit a severe im…
Machine TranslationAudio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts
Automatically recognizing the sentiment, positive or negative, from speech is a challenging task, requiring both the analysis of vocal inflections and the interpretation of uttered words. Recent solutions rely on audio f…
Machine TranslationSpeech RecognitionSentiment AnalysisWhen Simpler Is Better: Evaluating Translation Pipelines for Medieval Latin Manuscripts
Despite remarkable progress in machine translation, Vision Language Models (VLMs) struggle on historical manuscripts, a domain that stresses core Natural Language Processing (NLP) capabilities: low-resource transliterati…
Machine TranslationMetaHOPE: A Metaphor-Oriented Evaluation Framework for Analysing MT and LLM Translation Errors
In this opinion paper, we propose MetaHOPE, an error severity-aware annotation framework for evaluating metaphor translations. Metaphors present challenges for machine translation (MT) and natural language understanding …
Natural Language UnderstandingMachine TranslationWhich Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy
When humans translate, not every word depends equally on the surrounding context. Some tokens, particularly function words like pronouns and auxiliaries, rely heavily on preceding or following sentences, while others, su…
Machine TranslationStructure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi
Government documents in India are predominantly issued in regional languages such as Marathi, creating substantial accessibility barriers for non-native readers, interstate administrative bodies, and policy analysts. Alt…
Machine TranslationMultilingual Reasoning Cascades Need More Context
Translation cascades for reasoning translate the query from another language to English, reason in English, and translate the answer back to the original language. This is a competitive approach to multilingual reasoning…
Machine TranslationAI translation of literary texts is "fine", but readers still prefer human translations
AI translation of literary works is increasingly common. While the content may be rendered adequately, we do not know enough about how readers experience it in terms of immersiveness and literary effect-aspects poorly ca…
Machine TranslationNeural Machine Translation for Low-Resource Tangkhul--English
We present a study on low-resource machine translation for the Tangkhul-English (nmf-en) language pair. Tangkhul is a severely under-resourced Tibeto-Burman language spoken primarily in Manipur, India, with virtually no …
Machine TranslationDomain AdaptationUniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation
In-Image Machine Translation (IIMT) aims to translate scene text in an image and render the translated text back into the original regions while preserving the overall visual appearance. Recent unified multimodal models …
Machine TranslationImage GenerationMeasuring User's Mental Models of Speech Translation in Human-AI Collaboration
Millions of people use machine translation (MT) tools daily, yet little is known about their perception of what systems can and cannot do. This paper studies users' mental models of speech translation systems through a n…
Cross-Lingual Question AnsweringMachine TranslationL3Cube-MahaPOS: A Marathi Part-of-Speech Tagging Dataset and BERT Models
Part-of-Speech (POS) tagging is a foundational NLP task underpinning machine translation, information extraction, and syntactic parsing. Despite Marathi being spoken by over 83 million people and ranking among the top tw…
Information ExtractionPart-Of-Speech TaggingMachine TranslationPOS TaggingMachine Translation and Post-Editing: Comparative Evaluation of Different MT Systems and Post-Editor Groups in Specialised Translation
This article aims to evaluate the quality of machine translation (MT) and post-editing (PE) in the context of specialised translation from English into French. Three MT systems (DeepL, eTranslation and Systran) were comp…
Machine Translation