Machine Translation Summit (MT Summit) 2007: all accepted papers
- Semi-automatic error analysis for large-scale statistical machine translationKatrin Kirchhoff, Owen Rambow, Nizar Habash et al. · Papersour summary
- Sensitivity of automated models for MT evaluation: proximity-based vs. performance-based methods ↗Bogdan Babych, Anthony Hartley
- Statistical machine translation ↗Kevin Knight, Philipp Koehn · Tutorials
- Structural phrase alignment based on consistency criteria ↗Toshiaki Nakazawa, Yu Kun, Sadao Kurohashi · Papers
- Syntactic preprocessing for statistical machine translation ↗Nizar Habash · Papers
- Syntax-based word reordering in phrase-based statistical machine translation: why does it work? ↗Simon Zwarts, Mark Dras · Papers
- Syntax-enhanced n-gram-based SMT ↗Josep M. Crego, José B. Mariño · Papers
- TITCH: attribute selection based on discrimination power and frequency ↗Philipp Spanger, Kurosawa Takahiro, Tokunaga Takenobu
- The Chinese Room Experiment: The Self-Organizing Feng Shui of MT ↗John S. White, Florence Reeder
- The attribute selection for GRE challenge: overview and evaluation results ↗Anja Belz, Albert Gatt
- The attribute selection for generation of referring expressions challenge. [Introduction to Shared Task Evaluation Challenge.] ↗Anja Belz, Albert Gatt, Ehud Reiter et al.
- The quest for machine translation quality at CLS Communication ↗Hans-Udo Stadler, Ursula Peter-Spörndli · Papers
- Towards broad coverage surface realization with CCGMichael White, Rajakrishnan Rajkumar, Scott Martinour summary
- Translating from under-resourced languages: comparing direct transfer against pivot translation ↗Bogdan Babych, Anthony Hartley, Serge Sharoff · Papers
- Using free online MT in multilingual websites ↗Federico Gaspari, Harold Somers · Tutorials
- Using rich morphology in resolving certain Hindi-English machine translation divergence ↗R. Mahesh K. Sinha · Papers
This page in Markdown → https://md.research.elamur.ai/free/en/venues/mtsummit/2007/papers/page/2/