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We have developed EyeMap, a freely available software system for visualizing and analyzing eye movement data specifically in the area of reading research. As compared with similar systems, including commercial ones, EyeMap has more advanced features for text stimulus presentation, interest area extraction, eye movement data visualization, and experimental variable calculation. It is unique in supporting binocular data analysis for unicode, proportional, and nonproportional fonts and spaced and unspaced scripts. Consequently, it is well suited for research on a wide range of writing systems. To date, it has been used with English, German, Thai, Korean, and Chinese. EyeMap is platform independent and can also work on mobile devices. An important contribution of the EyeMap project is a device-independent XML data format for describing data from a wide range of reading experiments. An online version of EyeMap allows researchers to analyze and visualize reading data through a standard Web browser. This facility could, for example, serve as a front-end for online eye movement data corpora. [ABSTRACT FROM AUTHOR]

Many languages in Africa are written using Latin-based scripts, but often with extra diacritics (e.g. dots below in Igbo: $${\d i}, {\d o}, {\d u}$$) or modifications to the letters themselves (e.g. open vowels 'e' and 'o' in Lingala: ɛ, ɔ). While it is possible to render these characters accurately in Unicode, oftentimes keyboard input methods are not easily accessible or are cumbersome to use, and so the vast majority of electronic texts in many African languages are written in plain ASCII. We call the process of converting an ASCII text to its proper Unicode form unicodification. This paper describes an open-source package which performs automatic unicodification, implementing a variant of an algorithm described in previous work of De Pauw, Wagacha, and de Schryver. We have trained models for more than 100 languages using web data, and have evaluated each language using a range of feature sets. [ABSTRACT FROM AUTHOR]

Sending information secretly and communicating covertly have been of great interest for ages. For this purpose, text documents have been widely used and, consequently, various methods for hiding information in texts (text steganography) have been developed so far. This paper deals with a new method to hide information in Persian (Farsi) and Arabic texts. In the Unicode Standard, there are two different characters for "Ya" «(This character cannot be represented into ASCII text)» and "Kaf" «(This character cannot be represented into ASCII text)». The two characters of «(This character cannot be represented into ASCII text)» and «(This character cannot be represented into ASCII text)» have the same shape but different codes if they are used at the beginning or in the middle of words. As a result, we can hide information in texts, considering the specified data to be hidden and using one of these two characters (for the positions in which «(This character cannot be represented into ASCII text)» and «(This character cannot be represented into ASCII text)» are at the beginning or in the middle of the words). The above-mentioned method has been implemented by Java Programming Language. [ABSTRACT FROM AUTHOR]

Much electronic text in the languages of South Asia has been published on the Internet. However, while Unicode has emerged as the favoured encoding system of corpus and computational linguists, most South Asian language data on the web uses one of a wide range of non-standard legacy encodings. This paper describes the difficulties inherent in converting text in these encodings to Unicode. Among the various legacy encodings for South Asian scripts, the most problematic are 8-bit fonts based on graphical principles (as opposed to the logical principles of Unicode). Graphical fonts typically encode several features in ways highly incompatible with Unicode. For instance, half-form glyphs used to construct conjunct consonants are typically separate code points in 8-bit fonts; in Unicode they are represented by the full consonant followed by virama. There are many more such cases. The solution described here is an approach to text conversion based on mapping rules. A small number of generalised rules (plus the capacity for more specialised rules) captures the behaviour of each character in a font, building up a conversion algorithm for that encoding. This system is embedded in a font-mapping program, outputting CES-compliant SGML Unicode. This program, a generalised text-conversion tool, has been employed extensively in corpus-building for South Asian languages. [ABSTRACT FROM AUTHOR]

OriginLab’s newest version update to Origin and OriginPro includes ease-of-use features, like Origin Central updates and creation of an App Center, as well as larger changes like the addition of Unicode characters, alteration to how user files are stored and visually searched, and user input formula in cells within worksheets. These features add additional value to an already powerful data analysis and plotting software package. [ABSTRACT FROM AUTHOR]