In this paper, we have studied the effect of two important factors influencing text readability in Bangla: the target reader and text properties. Accordingly, at first we have built a novel Bangla readability dataset of 135 documents annotated by 50 readers from two different backgrounds. We have identified 20 different features that can affect the readability of Bangla texts; the features were...

We investigate sentence deletion and split decisions in Spanish text simplification for two different corpora aimed at different groups of users. We analyse sentence transformations in two parallel corpora of original and manually simplified texts for two different types of users and then conduct two classification experiments: classifying between those sentences to be deleted and those to be k...

BACKGROUND We present the Europe PMC literature component of Open Targets - a target validation platform that integrates various evidence to aid drug target identification and validation. The component identifies target-disease associations in documents and ranks the documents based on their confidence from the Europe PMC literature database, by using rules utilising expert-provided heuristic i...

The authors used eye-tracking technology to examine young and older adults' online performance in the reading in distraction paradigm. Participants read target sentences and answered comprehension questions following each sentence. In some sentences, single-word distracters were presented in either italic or red font. Distracters could be related or unrelated to the target text. Online measures...

Coherence that ties sentences of a text into a meaningfully connected structure is of great importance to text generation and translation. In this paper, we propose a topic-based coherence model to produce coherence for document translation, in terms of the continuity of sentence topics in a text. We automatically extract a coherence chain for each source text to be translated. Based on the ext...

Previous studies have shown that various biomedical subdomains have lexical, syntactic, semantic and discourse structure variations. It is essential to recognise such differences to understand that biomedical natural language processing tools, such as named entity recognisers, that work well on some subdomains may not work as well on others. In this paper, we investigate the pairwise similarity...

1. introduction since the early hegira centuries up to the contemporary era “one thousand and one nights” stories have been translated into arabic. during this period we have been confronted with a great many of the translators doing translation jobs from various source languages into different target languages, thus we are bearing witness to the imposition of variegated tastes and styles into ...

Our goal is to evaluate the grammatical coverage of the surface realization component of a natural language generation system by means of target suites. We consider the utility of re-using for this purpose test suites designed to assess the coverage of natural language analysis / understanding systems. We find that they are of some interest, in helping inter-system comparisons and in providing ...

We argue that the conventional approach to Interactive Machine ~Ih-anslation is not the best way to p rov ide assistance to skilled translators, and propose an alternative whose central feature is the use of the target text as a medium of interaction. We describe an automat ic wordcompletion system intended to serve as a vehicle for exploring the feasibility of this new approach, and give resul...

Computational methods for predicting drug-target interactions have become important in drug research because they can help to reduce the time, cost, and failure rates for developing new drugs. Recently, with the accumulation of drug-related data sets related to drug side effects and pharmacological data, it has became possible to predict potential drug-target interactions. In this study, we foc...