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# Machine translation: papers Mova uses

The Machine translation papers whose ideas Mova took up, and what came of each idea. Every card is on [Elamur Research](https://research.elamur.ai/free/en/shelves/mtrans/).

- [On Translating Homer; with F. W. Newman's "Homeric Translation in Theory and Practice" and Arnold's "Last Words"](https://research.elamur.ai/free/en/papers/arnold-1861-translating-homer-f-w/) — ideas: 1 tried
- [Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment](https://research.elamur.ai/free/en/papers/barzilay-2003-learning-paraphrase-unsupervised-approach-multiple/) — ideas: 1 tried
- [Die Aufgabe des Übersetzers (The Task of the Translator)](https://research.elamur.ai/free/en/papers/benjamin-1923-die-aufgabe-des-ubersetzers/) — ideas: 1 tried
- [Syntactic Models for Structural Word Insertion and Deletion during Translation](https://research.elamur.ai/free/en/papers/menezes-2008-syntactic-models-structural-word-insertion/) — ideas: 2 tried
- [Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences](https://research.elamur.ai/free/en/papers/pang-2003-syntax-based-alignment-multiple-translations/) — ideas: 1 tried
- [Translation and Translations: Theory and Practice](https://research.elamur.ai/free/en/papers/postgate-1922-translation-translations-theory-practice/) — ideas: 1 tried
- [Statistical Glossing - Language Independent Analysis in Bible Translation](https://research.elamur.ai/free/en/papers/riding-2008-statistical-glossing-language-independent-analysis/) — ideas: 1 tried
- [Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation](https://research.elamur.ai/free/en/papers/sanchez-2020-martinez-learning-synchronous-context-free-grammars/) — ideas: 1 tried
- [Effective Use of Function Words for Rule Generalization in Forest-Based Translation](https://research.elamur.ai/free/en/papers/wu-2011-effective-use-function-words-rule/) — ideas: 1 tried