Gibbs Sampling Segmentation of Parallel Dependency Trees for Tree-Based Machine Translation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335396" target="_blank" >RIV/00216208:11320/16:10335396 - isvavai.cz</a>
Result on the web
<a href="https://ufal.mff.cuni.cz/pbml/105/art-marecek-zabokrtsky.pdf" target="_blank" >https://ufal.mff.cuni.cz/pbml/105/art-marecek-zabokrtsky.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/pralin-2016-0005" target="_blank" >10.1515/pralin-2016-0005</a>

Result language
angličtina
Original language name
Gibbs Sampling Segmentation of Parallel Dependency Trees for Tree-Based Machine Translation
Original language description
We present a work in progress aimed at extracting translation pairs of source and target dependency treelets to be used in a dependency-based machine translation system. We introduce a novel unsupervised method for parallel tree segmentation based on Gibbs sampling. Using the data from a Czech-English parallel treebank, we show that the procedure converges to a dictionary containing reasonably sized treelets; in some cases, the segmentation seems to have interesting linguistic interpretations.
Czech name
—
Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AI - Linguistics
OECD FORD branch
—

Project
<a href="/en/project/GP14-06548P" target="_blank" >GP14-06548P: Sentence structure induction without annotated corpora</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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