The paper describes suitable sources for creating Czech-Slovak parallel corpora, including our procedure of creating plain text parallel corpora from various data sources. We attempt to address the pros and cons of various types of data sources, especially when they are used in machine translation. Some results of machine translation from Czech to Slovak based on the acquired corpora are also g...

introduction: evaluation of students’ learning in clinical education system is one of the most important and challenging issues that facilities in this field have been facing. the present study aimed to evaluate the role of feedback during evaluation in increasing emergency medicine residents’ clinical skills. method: the present experimental study was performed on all second year emergency med...

Knowledge-based parsers are now accurate, fast and robust enough to be used to obtain syntactic annotations for very large corpora fully automatically. We argue that such parsed corpora are an interesting new resource for linguists. The argument is illustrated by means of a number of recent results which were established with the help of parsed corpora.

Comparable corpora are the main alternative to the use of parallel corpora to extract bilingual lexicons. Although it is easier to build comparable corpora, specialized comparable corpora are often of modest size in comparison with corpora issued from the general domain. Consequently, the observations of word co-occurrences which are the basis of context-based methods are unreliable. We propose...

Abstract This review aims to introduce corpora as useful tools for facilitating vocabulary teaching and learning. Corpora have long been applied improve learner language learning, but their direct implication in classroom is rare. begins with providing basic concepts related then illustrates how can benefit learning teaching. To make better use of corpora, careful consideration needs be given c...

This chapter focuses on unsupervised corpus-based methods of word sense discrimination that are knowledge-lean, and do not rely on external knowledge sources such as machine readable dictionaries, concept hierarchies, or sense-tagged text. They do not assign sense tags to words; rather, they discriminate among word meanings based on information found in unannotated corpora. This chapter reviews...

Automatic sentiment analysis in texts has attracted considerable attention in recent years. Most of the approaches developed to classify texts or sentences as positive or negative rest on a very specific kind of language resource: emotional lexicons. To build these resources, several automatic techniques have been proposed. Some of them are based on dictionaries while others use corpora. One of...

Conventional Information Retrieval Systems (IRSs), also called text indexers, deal with plain text documents or ones with a very elementary structure. These kinds of system are able to solve queries in a very efficient way, but they cannot take into account tags which mark different sections, or at best this capability is very limited. In contrast with this, nowadays, documents which are part o...

The article presents the Korpusomat web application for creating user’s own annotated linguistic corpora. offers an automatic annotation of texts and ability to search it based on inflectional syntactic features words named entities. All layers are presented along with examples their in analysis. also statistical summaries collected data, as well possibility sharing created corpora other users.

A widely used strategy in human and machine performance enhancement is achieved through feedback. In this paper we investigate the effect of live motivational feedback on motivating crowds and improving the performance of the crowdsourcing computational model. The provided feedback allows workers to react in real-time and review past actions (e.g. word deletions); thus, to improve their perform...