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Automatic Text Simplification for Social Good: Progress and Challenges ...
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What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts ...
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Five Psycholinguistic Characteristics for Better Interaction with Users ...
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CoCo: A tool for automatically assessing conceptual complexity of texts
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When shallow is good enough: Automatic assessment of conceptual text complexity using shallow semantic features
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Automated text simplification as a preprocessing step for machine translation into an under-resourced language
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In: Štajner, Sanja orcid:0000-0002-7780-7035 and Popović, Maja orcid:0000-0001-8234-8745 (2019) Automated text simplification as a preprocessing step for machine translation into an under-resourced language. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria. (2019)
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Abstract:
In this work, we investigate the possibility of using fully automatic text simplification system on the English source in machine translation (MT) for improving its translation into an under-resourced language. We use the state-of-the-art automatic text simplification (ATS) system for lexically and syntactically simplifying source sentences, which are then translated with two state-of-the-art English-to-Serbian MT systems, the phrase-based MT (PBMT) and the neural MT (NMT). We explore three different scenarios for using the ATS in MT: (1) using the raw output of the ATS; (2) automatically filtering out the sentences with low grammaticality and meaning preservation scores; and (3) performing a minimal manual correction of the ATS output. Our results show improvement in fluency of the translation regardless of the chosen scenario, and difference in success of the three scenarios depending on the MT approach used (PBMT or NMT) with regards to improving translation fluency and post-editing effort.
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Keyword:
Machine translating
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URL: http://doras.dcu.ie/24479/
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A spreading activation framework for tracking conceptual complexity of texts
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Improving machine translation of English relative clauses with automatic text simplification
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In: Štajner, Sanja and Popović, Maja orcid:0000-0001-8234-8745 (2018) Improving machine translation of English relative clauses with automatic text simplification. In: INLG 1st Workshop on Automatic Text Adaptation (ATA 18), 5-8 Nov 2018, Tilburg, Netherlands. (2018)
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A Report on the Complex Word Identification Shared Task 2018 ...
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Word embeddings-based uncertainty detection in financial disclosures
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Automatic detection of uncertain statements in the financial domain
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Automatic assessment of conceptual text complexity using knowledge graphs
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Effects of lexical properties on viewing time per word in autistic and neurotypical readers
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In: 69 ; 1 ; 158 ; 167 (2017)
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Sentence alignment methods for improving text simplification systems
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Leveraging event-based semantics for automated text simplification
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