MUSS: Multilingual unsupervised sentence simplification by mining paraphrases
Progress in sentence simplification has been hindered by a lack of labeled parallel
simplification data, particularly in languages other than English. We introduce MUSS, a …
simplification data, particularly in languages other than English. We introduce MUSS, a …
Controllable sentence simplification with a unified text-to-text transfer transformer
Recently, a large pre-trained language model called T5 (A Unified Text-to-Text Transfer
Transformer) has achieved state-of-the-art performance in many NLP tasks. However, no …
Transformer) has achieved state-of-the-art performance in many NLP tasks. However, no …
Revisiting non-English text simplification: A unified multilingual benchmark
Recent advancements in high-quality, large-scale English resources have pushed the
frontier of English Automatic Text Simplification (ATS) research. However, less work has …
frontier of English Automatic Text Simplification (ATS) research. However, less work has …
Controlling text complexity in neural machine translation
This work introduces a machine translation task where the output is aimed at audiences of
different levels of target language proficiency. We collect a high quality dataset of news …
different levels of target language proficiency. We collect a high quality dataset of news …
Building a monolingual parallel corpus for text simplification using sentence similarity based on alignment between word embeddings
T Kajiwara, M Komachi - Proceedings of COLING 2016, the 26th …, 2016 - aclanthology.org
Methods for text simplification using the framework of statistical machine translation have
been extensively studied in recent years. However, building the monolingual parallel corpus …
been extensively studied in recent years. However, building the monolingual parallel corpus …
Multilingual unsupervised sentence simplification
Progress in Sentence Simplification has been hindered by the lack of supervised data,
particularly in languages other than English. Previous work has aligned sentences from …
particularly in languages other than English. Previous work has aligned sentences from …
Lexical simplification system to improve web accessibility
People with intellectual, language and learning disabilities face accessibility barriers when
reading texts with complex words. Following accessibility guidelines, complex words can be …
reading texts with complex words. Following accessibility guidelines, complex words can be …
Evaluating transfer learning for simplifying github readmes
Software documentation captures detailed knowledge about a software product, eg, code,
technologies, and design. It plays an important role in the coordination of development …
technologies, and design. It plays an important role in the coordination of development …
SIMSUM: Document-level text simplification via simultaneous summarization
Document-level text simplification is a specific type of simplification which involves
simplifying documents consisting of several sentences by rewriting them into fewer or more …
simplifying documents consisting of several sentences by rewriting them into fewer or more …
Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation
In this paper, we study AMR-to-text generation, framing it as a translation task and
comparing two different MT approaches (Phrase-based and Neural MT). We systematically …
comparing two different MT approaches (Phrase-based and Neural MT). We systematically …