Given the rise of a new approach to MT, Neural MT (NMT), and its promising performance on different text types, we assess the translation quality it can attain on what is perceived to be the greatest challenge for MT: literary text. Specifically, we target novels, arguably the most popular type of literary text. We build a literary-adapted NMT system for the English-to-Catalan translation direc...

postmodernism is of the third period of human’s thought eras. during this era which spans the end of the nineteenth century to the present time , “creation “of the real replaces its “ discovery”. this stream is the extremist form of modernism. it has some specific qualities such as irony and mixture of popular art and formal art. this essay aims to analyze one of arabic modern texts named “coll...

many students are being faced to some problems in instructive skills such as reading and comprehension especially when they study literary texts, [1]both in school and university. to solve this problem, such skills should [2]be taught with a method that the learner(s) has an active relation to the text and its components. he (she) should be able to make a connection between the text and his (he...

Users need more sophisticated tools to handle the growing number of image-based documents available in databases. In this paper, we present a system devoted to the editing and browsing of complex literary hypermedia including original manuscript documents and other handwritten sources. Editing capabilities allow the user to transcribe manuscript images in an interactive way and to encode the re...

We present here a method for automatically discovering several classes of text reuse across different languages, from the most similar (translations) to the most oblique (literary allusions). Allusions are an important subclass of reuse because they involve the appropriation of isolated words and phrases within otherwise unrelated sentences, so that traditional methods of identifying reuse incl...

Simple text classification algorithms perform remarkably well when used for detecting famous quotes in literary or philosophical text, with f-scores approaching 95%. We compare the task to topic classification, polarity classification and authorship attribution.

This chapter aims to explore the role of the hybrid reader-viewer-listener as the user of electronic literary projects that demand more complex interactions, including sophisticated ways to navigate. Rather than taking into account just the reader’s role in decoding meaning and linguistic comprehension, the new-media-shaped literary text stimulates even more sophisticated reader response, addre...

Increasing numbers of primary and secondary source texts in the humanities have been digitized in recent years. Humanities scholars who want to study these new collections in depth need computational assistance because of their large scale. We have built WordSeer, a text analysis tool that includes visualizations and works on the grammatical structure of text extracted using highly accurate off...

We demonstrate TopoText, an interactive tool for digital mapping of literary text. TopoText takes as input a literary piece of text such as a novel or a biography article and automatically extracts all place names in the text. The identified places are then geoparsed and displayed on an interactive map. TopoText calculates the number of times a place was mentioned in the text, which is then ref...

The purpose of this study was to analyze textual elaboration as a modification option for literary texts in an intermediate Spanish language course. This study suggests that literary texts might obtain a more predominant place in second language instruction, especially for readers with lower levels of language proficiency, if learners were supplied with additional tools to facilitate comprehens...