Digital fingerprinting becomes paid growing attention as a technology resolving copyright problems. Previously, researchers have been only interested in image based digital fingerprinting where secret information is hidden in images, and text have not been the main target of hiding information. In this paper, we propose an information hiding method for text. Our information hiding method is bas...

We compared Finnish adults' and children's eye movements on long (8-letter) and short (4-letter) target words embedded in sentences, presented either normally or as disappearing text. When reading disappearing text, where refixations did not provide new information, the 8- to 9-year-old children made fewer refixations but more regressions back to long words compared to when reading normal text....

In this paper, we address the problem of discovering coreference relations between formulas and the surrounding text. The task is different from traditional coreference resolution because of the unique structure of the formulas. In this paper, we present an approach, which we call ‘CDF (Concept Description Formula)’, for mining coreference relations between formulas and the concepts that refer ...

This paper proposes an architecture, based on statistical machine translation, for developing the text normalization module of a text to speech conversion system. The main target is to generate a language independent text normalization module, based on data and flexible enough to deal with all situations presented in this task. The proposed architecture is composed by three main modules: a toke...

For TREC retrieval from corrupted data was studied through retrieval of single target documents from a corpus which was corrupted by producing page images corrupting the bit maps and applying OCR techniques to the results In general methods which attempted a probabilistic estimation of the original clean text fare better than methods which simply accept corrupted versions of the query text

We present a design and study the performance of a text-dependent speaker veri cation system using general phrase passwords. The text of the password utterance and its phone transcription are assumed to be available. The problems that are addressed include the appropriate choice of units for building target speaker models and the choice of background models for likelihoodratio scoring.

A probabilistic model for computer-based generation of a machine translation system on the basis of English-Russian parallel text corpora is suggested. The model is trained using parallel text corpora with pre-aligned source and target sentences. The training of the model results in a bilingual dictionary of words and " word blocks " with relevant translation probability 1 Introduction.

The translation process in statistical machine translation (SMT) is shaped by technical constraints and engineering considerations. SMT explicitly models translation as search for a target-language equivalent of the input text. This perspective on translation had wide currency in mid-20th century translation studies, but has since been superseded by approaches arguing for a more complex relatio...

We propose a cross-media lecture-on-demand system, in which users can selectively view specific segments of lecture videos by submitting text queries. Users can easily formulate queries by using the textbook associated with a target lecture, even if they cannot come up with effective keywords. Our system extracts the audio track from a target lecture video, generates a transcription by large vo...