Mobile devices often utilize touchscreen keyboards for text input. However, due to the lack of tactile feedback and generally small key sizes, users often produce typing errors. Key-target resizing, which dynamically adjusts the underlying target areas of the keys based on their probabilities, can significantly reduce errors, but requires training data in the form of touch points for intended k...

In this paper, we study the incorporation of statistical machine translation models to automatic speech recognition models in the framework of computer-assisted translation. The system is given a source language text to be translated and it shows the source text to the human translator to translate it orally. The system captures the user speech which is the dictation of the target language sent...

As is commonly known, the steganographic algorithms employ images, audio, video or text files as the medium to ensure hidden exchange of information between multiple contenders to protect the data from the prying eyes. However, using text as the target medium is relatively difficult as compared to the other target media, because of the lack of available redundant information in a text file. In ...

The advent of computing has exacerbated the problem of overwhelming information. Advanced information management strategies such as Information Extraction, Information Filtering, Information Retrieval, and Text Categorization are becoming important to manage the deluge of information. Information Extraction (IE) systems can be used to automatically extract relevant information from free-form te...

This paper describes a project which has explored the feasibility of using a computer to perform a significant portion of the changes required to adapt text from one dialect to several others. This ongoing experiment has examined adaptation between various dialects of Quechua, finding that a computer program may be an important tool for adaptation. An experimental computer program was written a...

In automatic reading tutoring, tracking is the process of automatically following a reader through a given target text. When developing tracking algorithms, a measure of the tracking accuracy – how often a spoken word is aligned to the right target text word position – is needed in order to evaluate performance and compare different algorithms. This paper presents a framework for determining th...

Natural language systems trained on labeled data from one domain do not perform well on other domains. Most adaptation algorithms proposed in the literature train a new model for the new domain using unlabeled data. However, it is time consuming to retrain big models or pipeline systems. Moreover, the domain of a new target sentence may not be known, and one may not have significant amount of u...

To study false memories in older adults, a lot of experiments used the DRM paradigm (Deese, Roediger et McDermott). Most of the time, the results showed that older adults make more false memories than young adults. To test this hypothesis with a more ecological material, we used a situation of text reading. When we read a text, we activate predictive inferences, which are anticipations of what ...

One basic feature of the Arabic script is its semicursive style: some letters are connected to the next, but others are not, as in the Uyghur word [see text]/ya xʃi/ ("good"). None of the current orthographic coding schemes in models of visual-word recognition, which were created for the Roman script, assign a differential role to the coding of within letter "chunks" and between letter "chunks"...