Machine Learning for Readability of Legislative Sentences
Do NLP and machine learning improve traditional readability formulas?
... AI readability systems use NLP for richer feature extraction and a machine learning ...better machine learning algorithms? In this paper, we re- port initial findings of three ...
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Advanced Machine Learning Techniques To Assist Dyslexic Children For Easy Readability
... Advanced Machine Learning Techniques To Assist Dyslexic Children For Easy Readability Geeta Atkar, ...easy readability the paper focuses on reading disability of Hindi ...
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Rule based and machine learning approaches for second language sentence level readability
... of sentences understandable by sec- ond language learners of Swedish, which can be used in automatically generated ex- ercises based on ...chine learning-based readability research, from rule-based ...
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Rule-based and machine learning approaches for second language sentence-level readability
... sentence-level readability of Swedish from a L2 learning point of ...identifying sentences from a variety of Swedish corpora which are not only readable, but potentially suitable also as ...
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Assessment of text readability using statistical and machine learning approaches
... 2 Andrejaana Andova Dale and Chall came up with a formula for estimating the readability of a text. Afterwards a lot of similar formulas have been introduced. The goal of the thesis is to automate calculation of ...
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Assessment of text readability using statistical and machine learning approaches
... 2 Andrejaana Andova Dale and Chall came up with a formula for estimating the readability of a text. Afterwards a lot of similar formulas have been introduced. The goal of the thesis is to automate calculation of ...
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Assessing the Readability of Sentences: Which Corpora and Features?
... 1 Introduction Over the last ten years, work on automatic read- ability assessment employed sophisticated NLP techniques (such as syntactic parsing and statisti- cal language modeling) to capture highly complex ...
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Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability
... This dataset-quality issue highlights the demand for more stable and robust sourcing methods. Several additional RC datasets were presented in the last half of 2016, involving large docu- ments and sensible queries that ...
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Learning from Parenthetical Sentences for Term Translation in Machine Translation
... However, unlike person names or other named entities having obvious characteristics and bound- ary clues, it’s a challenging task to translate terms correctly for the huge number of pre-existing terms and the endless new ...
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Statistical Machine Translation with Readability Constraints
... few readability related features in statistical machine ...of readability of its output and that the approach can lead to a number of different types of ...of sentences showed that there were ...
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Machine Learning with Semantic Based Distances Between Sentences for Textual Entailment
... • A lexical component that considers the set of common tokens occurring in both sentences. The size of this set and the strength of the com- patibility links between its members are used for defining the measure. ...
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Automatic Detection and Analysis of Impressive Japanese Sentences Using Supervised Machine Learning
... evaluating sentences to support sen- tence generation (Bangalore and Whittaker, 2000; Mutton and Dale, ...impressive sentences. In our study, we used machine learning to extract impressive ...
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Learning to Summarise Related Sentences
... ˜ p f (G, p) ˜ (1) is the desired summary for the collection G. Our approach can therefore be seen as translating the work by Filippova (2010) into the structured prediction framework (Tsochantaridis et al., 2005; Taskar ...
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Readability of Grade 7 English learning module
... way sentences are normally organized in order to make it clear how the ideas relate to each ...simple sentences may be challenging if they contain abstract or vague ...of readability, I argued with ...
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Learning to Simplify Sentences Using Wikipedia
... with machine translation). In the test set, 30% of the simple sentences were the same as the corresponding normal ...these sentences in the test set, since not all sentences need ...
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Jointly Learning to Label Sentences and Tokens
... tions for language composition and attention. In practice, the variability in natural language is very large and the available annotated datasets are often too small to learn everything au- tomatically. Furthermore, the ...
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A Readability Checker with Supervised Learning Using Deep Indicators
... 6 Semantic indicators 6.1 SN Quality An incomplete parse from WOCADI is mainly caused by syntactic or semantic defects of the sentence since the parser builds the syntactic structure as a dependency tree and the semantic ...
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Learning to Predict Readability using Diverse Linguistic Features
... transcripts, machine translation out- put, closed-caption transcripts and Wikipedia arti- ...newswire, machine transla- tion and closed captioned genres were collected automatically by first forming a ...
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Machine Learning Based Transformation of Passive Japanese Sentences into Active by Separating Training Data into Each Input Particle
... passive sentences into active ...uses machine learning for each ...for learning used in a previous study (Mu- rata and Isahara, 2003) obtained a much lower accuracy rate ...
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Analyzing Human and Machine Performance In Resolving Ambiguous Spoken Sentences
... The machine learning model developed revealed the importance of the existence of a silent pause before the prepositional phrase as a major factor in determining the type of ...
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