Extracting meaning from images is a challenging task that has generated much interest in recent years. In domains such as medicine, image understanding requires special expertise. Experts’ eye movements can act as pointers to important image regions, while their accompanying spoken language descriptions, informed by their knowledge and experience, call attention to the concepts and features ass...

In this paper we propose a method for the automatic decipherment of lost languages. Given a non-parallel corpus in a known related language, our model produces both alphabetic mappings and translations of words into their corresponding cognates. We employ a non-parametric Bayesian framework to simultaneously capture both low-level character mappings and highlevel morphemic correspondences. This...

This paper explores the annotation and classification of students’ revision behaviors in argumentative writing. A sentence-level revision schema is proposed to capture why and how students make revisions. Based on the proposed schema, a small corpus of student essays and revisions was annotated. Studies show that manual annotation is reliable with the schema and the annotated information helpfu...

This paper introduces a method to cluster graphs of semantically related terms from texts using PageRank calculations for use in the field of text mining, e.g. to automatically discover different topics in a text corpus. It is evaluated by providing empirical results of tests by applying this method on real text corpora. It is shown that this application of the PageRank formula realizes suitabl...

Automatic extraction of bilingual Multi-Word Units is an important subject of research in the automatic bilingual corpus alignment field. There are many cases of single source words corresponding to target multi-word units. This paper presents an algorithm for the automatic alignment of single source words and target multi-word units from a sentence-aligned parallel spoken language corpus. On t...

Automatic paraphrasing is an important component in many natural language processing tasks. In this article we present a new parallel corpus with paraphrase annotations. We adopt a definition of paraphrase based on word alignments and show that it yields high inter-annotator agreement. As Kappa is suited to nominal data, we employ an alternative agreement statistic which is appropriate for stru...

background: the comprehension processes are often inferred or explored indirectly through the assessment of the performance of the students on certain tasks. comprehension is typically measured by the techniques in which the test-taker reads a short text and then selects the correct answers in multiple choice questions, true/false and yes/no tasks or matching activities. purpose: a new approach...