Validating Quality Estimation in a Computer-Aided Translation Workflow: Speed, Cost and Quality Trade-off
MT Summit XVIII: Users and Providers Track
Fernando Alva-Manchego
Researcher in Natural Language Processing
My research interests include text simplification, readability assessment,
multilingual NLP, Welsh language technology, and NLP for education and social care.
IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction
SemEval 2021
kervy-rivas-rojas
Controllable Text Simplification with Explicit Paraphrasing
Text Simplification improves the readability of sentences through several rewriting transformations, such as lexical paraphrasing, deletion, and splitting. Current simplification …
mounica-maddela
Automatic Sentence Simplification with Multiple Rewriting Transformations
PhD Thesis
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
We introduce ASSET, a dataset for assessing sentence simplification in English. ASSET is a crowdsourced multi-reference corpus where each simplification was produced by executing …
Data-Driven Sentence Simplification: Survey and Benchmark
We survey research on Sentence Simplification, focusing on approaches that attempt to learn how to simplify using corpora of aligned original-simplified sentence pairs in English.
EASSE: Easier Automatic Sentence Simplification Evaluation
We introduce EASSE, a Python package aiming to facilitate and standardise automatic evaluation and comparison of Sentence Simplification systems.
Strong Baselines for Complex Word Identification across Multiple Languages
NAACL 2019
pierre-finnimore