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# Machine translation

310 pages

[1](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/)[2](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/3/)**4**

- [yamada-2001-syntax-based-statistical-translation-model](https://md.mova.elamur.ai/free/en/docs/papers/yamada-2001-syntax-based-statistical-translation-model/) — A Syntax-based Statistical Translation Model
- [yu-2014-red-reference-dependency-based-mt](https://md.mova.elamur.ai/free/en/docs/papers/yu-2014-red-reference-dependency-based-mt/) — RED: A Reference Dependency Based MT Evaluation Metric
- [yu-2019-head-first-linearization-tree-structured](https://md.mova.elamur.ai/free/en/docs/papers/yu-2019-head-first-linearization-tree-structured/) — Head-First Linearization with Tree-Structured Representation
- [yu-2020-fast-accurate-non-projective-dependency](https://md.mova.elamur.ai/free/en/docs/papers/yu-2020-fast-accurate-non-projective-dependency/) — Fast and Accurate Non-Projective Dependency Tree Linearization
- [zabokrtsky-2009-hidden-markov-tree-model-dependency](https://md.mova.elamur.ai/free/en/docs/papers/zabokrtsky-2009-hidden-markov-tree-model-dependency/) — Hidden Markov Tree Model in Dependency-based Machine Translation
- [zarechnak-1976-russian-english-system-georgetown-university](https://md.mova.elamur.ai/free/en/docs/papers/zarechnak-1976-russian-english-system-georgetown-university/) — Russian-English system, Georgetown University
- [zarrie-2011-underspecifying-predicting-voice-surface-realisation](https://md.mova.elamur.ai/free/en/docs/papers/zarrie-2011-underspecifying-predicting-voice-surface-realisation/) — Underspecifying and Predicting Voice for Surface Realisation Ranking
- [zeman-2026-word-alignment-based-evaluation-uniform](https://md.mova.elamur.ai/free/en/docs/papers/zeman-2026-word-alignment-based-evaluation-uniform/) — Word Alignment-Based Evaluation of Uniform Meaning Representations
- [zhou-2019-handling-syntactic-divergence-low-resource](https://md.mova.elamur.ai/free/en/docs/papers/zhou-2019-handling-syntactic-divergence-low-resource/) — Handling Syntactic Divergence in Low-resource Machine Translation
- [zhu-2010-monolingual-tree-based-translation-model](https://md.mova.elamur.ai/free/en/docs/papers/zhu-2010-monolingual-tree-based-translation-model/) — A Monolingual Tree-based Translation Model for Sentence Simplification

[1](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/)[2](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/3/)**4**