The original version of this article [1] unfortunately contained a mistake. In the subsection titled “Implications for policy” part of the text was incorrect. It read “One good example is Ghana, which has now achieved 54 % comprehensive health coverage of its population, and only 2 esources are shared by the family to meet the needs of elderly members [68, 69].” The corrected text can be found ...

Extractive summarization techniques typically aim to maximize the information coverage of the summary with respect to the original corpus and report accuracies in ROUGE scores. Automated text summarization techniques should consider the dimensions of comprehensibility, coherence and readability. In the current work, we identify the discourse structure which provides the context for the creation...

Designing text scripts that cover enough phonetic units and prosodic phenomena is very important when recording speech database for corpus based speech synthesis. When designing recording scripts for speech synthesis databases, a lot of effort is often placed on how to achieve maximal coverage of phonetic units in minimal speech recording. With such methods, sentences with difficult words or in...

The Broadcast and Television coverage has increased to more than 98% in china. Information services by radio have wide coverage, low cost, easy-to-grass-roots farmers to accept etc. characteristics. In order to play the better role of broadcast information service, as well as aim at the problem of lack of information resource in rural, we R & D the text-to-speech system. The system includes two...

Many Natural Language Processing applications depend crucially on the front end processes that handle the input text and transform it into a form usable by the more “sophisticated” linguistic component of the applications. Despite this crucial role, often these front end processes are considered uninteresting, yet it is not unusual for the perception of the complete application to be affected b...

Improved automatic text understanding requires detailed linguistic information about the words that comprise the text. Particularly crucial is the knowledge about predicates, typically verbs, which communicate both the event being expressed and how participants are related to the event. Although the field of natural language processing (NLP) has yet to develop a clear consensus on guidelines fo...

In the age of information overload, it is necessary to provide effective information navigation tools that operate over unstructured textual data. Current state-of-the-art methods are limited in terms of providing effective exploration capabilities for various information seeking tasks, especially those arising in domains such as online journalism. Here we argue for improvements in faceted sear...

Using both text and image content features, a hybrid image retrieval system for Word Wide Web is developed in this paper. We first use a text-based image metasearch engine to retrieve images from the World Wide Web based on the text information on the image host pages to provide an initial image set. Because of the high-speed and low cost nature of the text-based approach, we can easily retriev...

Example-Based Machine Translation (EBMT) using partial exact matching against a database of translation examples has proven quite successful, but requires a large amount of pre-translated text in order to achieve broad coverage of unrestricted text. By adding linguistically tagged entries to the example base and permitting recursive matches that replace the matched text with the associated tag,...

Text categorisation is challenging, due to the complex structure with heterogeneous, changing topics in documents. The performance of text categorisation relies on the quality of samples, effectiveness of document features, and the topic coverage of categories, depending on the employing strategies; supervised or unsupervised; single labelled or multi-labelled. Attempting to deal with these rel...