This paper presents a method for improving the readability of Automatic Speech Recognition (ASR) results for classroom lectures. Most of the previous research on improving the readability of recognition results focused mainly on manually transcribed texts, and not ASR results. Due to the presence of a large number of domain-dependent words and the casual presentation style, even state-of-the-ar...

Accurate readability assessment of health related materials is a critical first step in producing easily understandable consumer health information resources and personal health records. Existing general readability formulas may not always be appropriate for the medical/consumer health domain. We developed a new health-specific readability pilot measure, based on the differences in semantic and...

This paper addresses the task of readability assessment for the texts aimed at second language (L2) learners. One of the major challenges in this task is the lack of significantly sized level-annotated data. For the present work, we collected a dataset of CEFR-graded texts tailored for learners of English as an L2 and investigated text readability assessment for both native and L2 learners. We ...

Data driven approaches to readability analysis for languages other than English has been plagued by a scarcity of suitable corpora. Often, relevant corpora consist only of easy-to-read texts with no rank information or empirical readability scores, making only binary approaches, such as classification, applicable. We propose a Bayesian, latent variable, approach to get the most out of these kin...

In this paper, we present results of our study on age-based categorization of short texts as 85 words per author. We introduce a novel set of features that will reliably work with short texts, and is easy to extract from the text itself without any outside databases. These features were formerly known as variables in readability formulas. We tested datasets presented two age groups children and...

This paper presents experiments with document-level machine translation with readability constraints. We describe the task of producing simplified translations from a given source with the aim to optimize machine translation for specific target users such as language learners. In our approach, we introduce global features that are known to affect readability into a documentlevel SMT decoding fr...

This paper introduces MADAD, a general-purpose annotation tool for Arabic text with focus on readability annotation. This tool will help in overcoming the problem of lack of Arabic readability training data by providing an online environment to collect readability assessments on various kinds of corpora. Also the tool supports a broad range of annotation tasks for various linguistic and semanti...

This paper describes the early stages of research into defining daylight scenarios encountered by vehicles and outlining which are the worst-case situations with respect to display readability. The main objective of the research is to design a facility capable of recreating a wide range of daylight scenarios to perform controlled, repeatable and reproducible readability assessments within autom...

Abs&act-A 3 x 2 factorial experiment was performed to compare the effects of procedure format (none, internal, or external) with those of comments (absent or present) on the readability of a PL/I program. The readability of six editions of the program, each having a different combination of these factors, was inferred from the accuracy with which students could answer questions about the progra...

There are many languages considered to be low-density languages, either because the population speaking the language is not very large, or because insufficient digitized text material is available in the language even though millions of people speak the language. Bangla is one of the latter ones. Readability classification is an important Natural Language Processing (NLP) application that can b...