Machine translation 310 cards · page 1 of 13 · newest first · Linguistics · all shelves
Interlingua and transfer, tree-to-tree, rule-based MT, generation, style and Bible translation, evaluation.
Mova translates without a neural network at answer time: a recogniser of the language, a tree, frames, a world, then a meta-world shared by all languages and authors, and back down through the standard stack of the target language, with each author as a small delta over it. These cards cover the work this rests on: interlingua and transfer, tree-to-tree translation and synchronous grammars, rule-based systems, generation from trees and meaning, style and author transfer, Bible translation, and how translation is measured.
Each card names the ideas we take for the translator and what they did on the verse-aligned Bibles, where every block must come back byte for byte.
Letter 57, to Pammachius, On the Best Method of Translating Jerome, W. H. Fremantle 395 AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing Sarubi Thillainathan, Ji-Ung Lee, Michael Sullivan, et al. 2026 First Shared Task on UMR Parsing Jan Štěpánek, Daniel Zeman, Marketa Lopatkova, et al. 2026 From Syntax to Semantics: Introducing UMR for NLP Annotation Adriana S. Pagano, Magali Sanches Duran, Federica Gamba 2026 Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR Wenyang Gao, Yaxuan Li, Yunxin Bao, et al. 2026 Syntax is the Key to Semantics: Combining Universal Dependencies and Abstract Meaning Representation Johannes Heinecke 2026 Word Alignment-Based Evaluation of Uniform Meaning Representations Daniel Zeman, Federica Gamba 2026 Bootstrapping UMRs from Universal Dependencies for Scalable Multilingual Annotation Federica Gamba, Alexis Palmer, Daniel Zeman 2025 Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective Muhammad Saad Amin, Luca Anselma, Alessandro Mazzei 2025 Generating Text from Uniform Meaning Representation Emma Markle, Reihaneh Iranmanesh, Shira Wein 2025 Rule-based Surface Realization of Romanian Weak Pronouns Ciprian Gerstenberger 2025 Survey of Abstract Meaning Representation: Then, Now, Future Behrooz Mansouri 2025 The Role of PropBank Sense IDs in AMR-to-text Generation and Text-to-AMR Parsing Thu Hoang, Mina Yang, Shira Wein 2025 Assessing the Cross-linguistic Utility of Abstract Meaning Representation Shira Wein, Nathan Schneider 2024 Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al. 2024 How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models Miriam Cuscito, Alfio Ferrara, Martin Ruskov 2024 LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages Jared Coleman, Bhaskar Krishnamachari, Ruben Rosales, et al. 2024 Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation Shira Wein, Nathan Schneider 2024 Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants Raphael Rubino, Johanna Gerlach, Jonathan Mutal, et al. 2024 StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements Jillian Fisher, Skyler Hallinan, Ximing Lu, et al. 2024 AMR-TST: Abstract Meaning Representation-based Text Style Transfer Kaize Shi, Xueyao Sun, Li He, et al. 2023 Biblical translation: do different strategies produce divergent texts? Elena Serrano Bertos, Miguel Ángel Vega Cernuda 2023 Bridging Semantic Frameworks: mapping DRS onto AMR Siyana Pavlova, Maxime Amblard, Bruno Guillaume 2023 Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility Julia Bonn, Skatje Myers, Jens E. L. Van Gysel, et al. 2023 Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation Shira Wein, Zhuxin Wang, Nathan Schneider 2023