Text simplification by tagging
K Omelianchuk, V Raheja, O Skurzhanskyi - ar** algorithm for regression that exploits word embedding
models. We use it to infer four psycholinguistic properties of words: Familiarity, Age of …
models. We use it to infer four psycholinguistic properties of words: Familiarity, Age of …
Explainable prediction of text complexity: The missing preliminaries for text simplification
Text simplification reduces the language complexity of professional content for accessibility
purposes. End-to-end neural network models have been widely adopted to directly generate …
purposes. End-to-end neural network models have been widely adopted to directly generate …
[PDF][PDF] Simplified corpus with core vocabulary
T Maruyama, K Yamamoto - Proceedings of the Eleventh …, 2018 - aclanthology.org
We have constructed the simplified corpus for the Japanese language and selected the core
vocabulary. The corpus has 50,000 manually simplified and aligned sentences. This corpus …
vocabulary. The corpus has 50,000 manually simplified and aligned sentences. This corpus …
[PDF][PDF] Sv000gg at semeval-2016 task 11: Heavy gauge complex word identification with system voting
G Paetzold, L Specia - … of the 10th International Workshop on …, 2016 - aclanthology.org
We introduce the SV000gg systems: two Ensemble Methods for the Complex Word
Identification task of SemEval 2016. While the SV000gg-Hard system exploits basic Hard …
Identification task of SemEval 2016. While the SV000gg-Hard system exploits basic Hard …