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Papers

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Showing 5751–5800 of 12395 papers

TitleStatusHype
Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation—0
A User Study of the Incremental Learning in NMT—0
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated SolutionCode0
Bifixer and Bicleaner: two open-source tools to clean your parallel dataCode1
An English-Swahili parallel corpus and its use for neural machine translation in the news domain—0
Ellipsis Translation for a Medical Speech to Speech Translation System—0
NICE: Neural Integrated Custom Engines—0
OCR, Classification & Machine Translation (OCCAM)—0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation—0
MT syntactic priming effects on L2 English speakers—0
Progress of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
Machine Translation Post-Editing Levels: Breaking Away from the Tradition and Delivering a Tailored Service—0
MTrill project: Machine Translation impact on language learning—0
ELITR: European Live Translator—0
PosEdiOn: Post-Editing Assessment in PythOn—0
With or without you? Effects of using machine translation to write flash fiction in the foreign language—0
Sockeye 2: A Toolkit for Neural Machine Translation—0
Terminology-Constrained Neural Machine Translation at SAP—0
What’s the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT—0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Cross-lingual sentiment classification in low-resource Bengali languageCode0
Detecting Entailment in Code-Mixed Hindi-English ConversationsCode0
Advancing Seq2seq with Joint Paraphrase Learning—0
Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation—0
Factorized Transformer for Multi-Domain Neural Machine Translation—0
Active Learning Approaches to Enhancing Neural Machine Translation—0
Assessing Human-Parity in Machine Translation on the Segment Level—0
Simultaneous Translation—0
Using Visual Feature Space as a Pivot Across LanguagesCode0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Relations between comprehensibility and adequacy errors in machine translation output—0
Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level InstructionsCode1
Sparse and Decorrelated Representations for Stable Zero-shot NMT—0
Revisiting Representation Degeneration Problem in Language Modeling—0
Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection—0
From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer—0
Effective Deep Learning Models for Automatic Diacritization of Arabic TextCode1
CSP:Code-Switching Pre-training for Neural Machine Translation—0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Alignment-free Cross-lingual Semantic Role Labeling—0
Direct Segmentation Models for Streaming Speech TranslationCode0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Monolingual Adapters for Zero-Shot Neural Machine Translation—0
Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings—0
Distilling Multiple Domains for Neural Machine Translation—0
Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation—0
Improving Word Sense Disambiguation with Translations—0
Learning Adaptive Segmentation Policy for Simultaneous Translation—0
Towards Enhancing Faithfulness for Neural Machine Translation—0
Statistical Power and Translationese in Machine Translation Evaluation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5BLEU-134.07—Unverified
2LongformerBLEU-122.74—Unverified
#ModelMetricClaimedVerifiedStatus
1ALMA-Gemma-7B-IT-STBLEU56.21—Unverified
2ALMA-Gemma-7B-ITBLEU52.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CFEAR-3-s50translation error [%]1.09—Unverified