The origin of letters and numerals : according to the Sefer Yetzirah

[Philadelphia], Univ., Diss., [1914]

The writer's desk book: being a reference volume upon questions of punctuation, capitalization, spelling, division of words, indention, spacing, italics, abbreviations, accents, numerals, faulty diction, letter writing, postal regulations, etc., etc.,

Mode of access: Internet.

The Hindu-Arabic numerals /

Available on demand as hard copy or computer file from Cornell University Library.

Fuzzy modeling based recognition of multi-font numerals

In this paper, we present a new scheme for off-line recognition of multi-font numerals using the Takagi-Sugeno (TS) model. In this scheme, the binary image of a character is partitioned into a fixed number of sub-images called boxes. The features consist of normalized vector distances (gamma) from each box. Each feature extracted from different fonts gives rise to a fuzzy set. However, when we have a small number of fonts as in the case of multi-font numerals, the choice of a proper fuzzification function is crucial. Hence, we have devised a new fuzzification function involving parameters, which take account of the variations in the fuzzy sets. The new fuzzification function is employed in the TS model for the recognition of multi-font numerals.

Konstruktioner i interaktion. : de e som resurs i samtal

This study concerns the most common word pair in spoken Swedish, de e (it is, third person pronoun + copula-verb in present tense). The aim of the study is twofold, with an empirical aim and a theoretical aim. The empirical aim is to investigate if and how the string de e can be understood and described as a construction in its own right with characteristics that distinguishes it from other structures and resources in spoken Swedish. The theoretical aim is to test how two different linguistic theories and methods, interactional linguistics and construction grammar, can be combined and used to describe and explain patterns in languaging that traditional grammar does take into account. The empirical analysis is done within the interactional linguistic framework with sequence analyses of excerpts from authentic conversation data. The data consists of approximately ten hours of recorded conversation from Finland and Sweden. The sequence analysis suggests that the string de e really is used as a resource in its own right. In most cases, the string is also used in ways consistent with abstract grammatical patterns described by traditional grammar. Nevertheless, there are instances where de e is used in ways not described before: with numerals and infinitive phrases as complements, without any complements at all and together with certain complements (bra, de) in idiomatic ways. Furthermore, in the instances where de e is used according to known grammatical patterns the function of the particular string de e is clearly contextually specific and in various ways linked to the micro-context in which it is used. A new model is suggested for understanding and concluding the results from the sequence analyses. It consists of two different types of constructions grammatical and interactional. The grammatical constructions show how the string is used in eleven structurally different ways. The interactional constructions show seven different sequential positions and functions in which the string occurs. The two types of constructions are also linked to each other as potentials. This is a new way to describe how interactants use and responds to a concrete string like de e in conversation.

Creation of a Huge Annotated Database for Tamil and Kannada OHR

This paper describes the efforts at MILE lab, IISc, to create a 100,000-word database each in Kannada and Tamil for the design and development of Online Handwritten Recognition. It has been collected from over 600 users in order to capture the variations in writing style. We describe features of the scripts and how the number of symbols were reduced to be able to effectively train the data for recognition. The list of words include all the characters, Kannada and Indo-Arabic numerals, punctuations and other symbols. A semi-automated tool for the annotation of data from stroke to word level is used. It segments each word into stroke groups and also acts as a validation mechanism for segmentation. The tool displays the stroke, stroke groups and aksharas of a word and hence can be used to study the various styles of writing, delayed strokes and for assigning quality tags to the words. The tool is currently being used for annotating Tamil and Kannada data. The output is stored in a standard XML format.

Online Handwritten Kannada Word Recognizer with Unrestricted Vocabulary

In this paper, we propose a novel heuristic approach to segment recognizable symbols from online Kannada word data and perform recognition of the entire word. Two different estimates of first derivative are extracted from the preprocessed stroke groups and used as features for classification. Estimate 2 proved better resulting in 88% accuracy, which is 3% more than that achieved with estimate 1. Classification is performed by statistical dynamic space warping (SDSW) classifier which uses X, Y co-ordinates and their first derivatives as features. Classifier is trained with data from 40 writers. 295 classes are handled covering Kannada aksharas, with Kannada numerals, Indo-Arabic numerals, punctuations and other special symbols like $ and #. Classification accuracies obtained are 88% at the akshara level and 80% at the word level, which shows the scope for further improvement in segmentation algorithm

Unrestricted Kannada online handwritten akshara recognition using SDTW

In this paper, we present an unrestricted Kannada online handwritten character recognizer which is viable for real time applications. It handles Kannada and Indo-Arabic numerals, punctuation marks and special symbols like $, &, # etc, apart from all the aksharas of the Kannada script. The dataset used has handwriting of 69 people from four different locations, making the recognition writer independent. It was found that for the DTW classifier, using smoothed first derivatives as features, enhanced the performance to 89% as compared to preprocessed co-ordinates which gave 85%, but was too inefficient in terms of time. To overcome this, we used Statistical Dynamic Time Warping (SDTW) and achieved 46 times faster classification with comparable accuracy i.e. 88%, making it fast enough for practical applications. The accuracies reported are raw symbol recognition results from the classifier. Thus, there is good scope of improvement in actual applications. Where domain constraints such as fixed vocabulary, language models and post processing can be employed. A working demo is also available on tablet PC for recognition of Kannada words.

Comparison of HMM and SDTW for Tamil handwritten character recognition

In this paper, we compare the experimental results for Tamil online handwritten character recognition using HMM and Statistical Dynamic Time Warping (SDTW) as classifiers. HMM was used for a 156-class problem. Different feature sets and values for the HMM states & mixtures were tried and the best combination was found to be 16 states & 14 mixtures, giving an accuracy of 85%. The features used in this combination were retained and a SDTW model with 20 states and single Gaussian was used as classifier. Also, the symbol set was increased to include numerals, punctuation marks and special symbols like $, & and #, taking the number of classes to 188. It was found that, with a small addition to the feature set, this simple SDTW classifier performed on par with the more complicated HMM model, giving an accuracy of 84%. Mixture density estimation computations was reduced by 11 times. The recognition is writer independent, as the dataset used is quite large, with a variety of handwriting styles.

Haches, diptongos y otros detalles de alguna importancia: notas sobre numerales (proto)vascos y comparación vasco-ibérica (con un apéndice sobre 'hiri' y otro sobre 'bat'-'bi')

Trabajo desarrollado dentro del proyecto Monumenta Linguae Vasconum III (FFI2008-04516) del MICIN y del GIC: IT-486-10 del GV.

手写体数字识别装置

本文叙述一种采用飞点扫描管沿字周边扫描的技术,和如何把得到的模拟文字信息按文字的高和宽以及光点运动的方向分成4×5格子和八个方向。这样就能够从大量的信息中提取出十七种用于特征描述的基本信息量。当然选择这一“模拟——数字”信息压缩的依据和数量是由特征抽取确定的。本文还讨论了筹划特征法分类的实践,着眼点是找出能代表被分类诸对象的特征(圆弧、线段等),在此基础上用得到的60个特征来描述被分类的诸对象。理想的情况下用这些特征去描述某个数字应当是唯一的,由于手写体变化较大,扫描结果部分失真,因此在分类逻辑中,还要依据大量实践的结果加上一些所谓技巧性的逻辑,才能组成一个合理的分类逻辑。本文叙述的方法和实践已用于沈阳市信函自动分拣样机上。

Functional imaging of numerical processing in adults and 4-y-old children.

Adult humans, infants, pre-school children, and non-human animals appear to share a system of approximate numerical processing for non-symbolic stimuli such as arrays of dots or sequences of tones. Behavioral studies of adult humans implicate a link between these non-symbolic numerical abilities and symbolic numerical processing (e.g., similar distance effects in accuracy and reaction-time for arrays of dots and Arabic numerals). However, neuroimaging studies have remained inconclusive on the neural basis of this link. The intraparietal sulcus (IPS) is known to respond selectively to symbolic numerical stimuli such as Arabic numerals. Recent studies, however, have arrived at conflicting conclusions regarding the role of the IPS in processing non-symbolic, numerosity arrays in adulthood, and very little is known about the brain basis of numerical processing early in development. Addressing the question of whether there is an early-developing neural basis for abstract numerical processing is essential for understanding the cognitive origins of our uniquely human capacity for math and science. Using functional magnetic resonance imaging (fMRI) at 4-Tesla and an event-related fMRI adaptation paradigm, we found that adults showed a greater IPS response to visual arrays that deviated from standard stimuli in their number of elements, than to stimuli that deviated in local element shape. These results support previous claims that there is a neurophysiological link between non-symbolic and symbolic numerical processing in adulthood. In parallel, we tested 4-y-old children with the same fMRI adaptation paradigm as adults to determine whether the neural locus of non-symbolic numerical activity in adults shows continuity in function over development. We found that the IPS responded to numerical deviants similarly in 4-y-old children and adults. To our knowledge, this is the first evidence that the neural locus of adult numerical cognition takes form early in development, prior to sophisticated symbolic numerical experience. More broadly, this is also, to our knowledge, the first cognitive fMRI study to test healthy children as young as 4 y, providing new insights into the neurophysiology of human cognitive development.

Lógica, lenguaje y significado. Lógica intensional y gramática lógica

Este texto representa el esfuerzo combinado de dos lógicos, dos filósofos y un lingüista. Esta empresa fue inspirada por la convicción de los autores de que la lógica y el lenguaje son inseparables, en particular en lo que respecta al análisis del significado. Una región interdisciplinaria emerge entre los límites de la filosofía, la lógica y la lingüística. Lógica, lenguaje y significado: lógica intensional y gramática lógica es una introducción a este campo, el cual aplica los sistemas lógico-formales al estudio del significado del lenguaje natural. El libro comienza con una introducción de los distintos principios de la semántica intensional y luego presenta varias lógicas intensionales, tales como la lógica proposicional modal, la lógica de predicados modal y la lógica temporal. También introduce la teoría de tipos, la lambda-abstracción y la sintaxis categorial.

Adobe Devanagari typeface

Typeface design: collaborative work commissioned by Adobe Inc. Published but unreleased. The Adobe Devanagari typefaces were commissioned from Tiro Typeworks and collaboratively designed by Tim Holloway, Fiona Ross and John Hudson, beginning in 2005. The types were officially released in 2009. The design brief was to produce a typeface for modern business communications in Hindi and other languages, to be legible both in print and on screen. Adobe Devanagari was designed to be highly readable in a range of situations including quite small sizes in spreadsheets and in continuous text setting, as well as at display sizes, where the full character of the typeface reveals itself. The construction of the letters is based on traditional penmanship but possesses less stroke contrast than many Devanagari types, in order to maintain strong, legible forms at smaller sizes. To achieve a dynamic, fluid style the design features a rounded treatment of distinguishing terminals and stroke reversals, open counters that also aid legibility at smaller sizes, and delicately flaring strokes. Together, these details reveal an original hand and provide a contemporary approach that is clean, clear and comfortable to read whether in short or long passages of text. This new approach to a traditional script is intended to counter the dominance of rigid, staccato-like effects of straight verticals and horizontals in earlier types and many existing fonts. OpenType Layout features in the fonts provide both automated and discretionary access to an extensive glyph set, enabling sophisticated typography. Many conjuncts preferred in classical literary texts and particularly in some North Indian languages are included; these literary conjuncts may be substituted by specially designed alternative linear forms and fitted half forms. The length of the ikars—ि and ी—varies automatically according to adjacent letter or conjunct width. Regional variants of characters and numerals (e.g. Marathi forms) are included as alternates. Careful attention has been given to the placements of all vowel signs and modifiers. The fonts include both proportional and tabular numerals in Indian and European styles. Extensive kerning covers several thousand possible combinations of half forms and full forms to anticipate arbitrary conjuncts in foreign loan words. _____

On-line handwritten segmentation in linear drawings

This paper addresses the problem of tracking line segments corresponding to on-line handwritten obtained through a digitizer tablet. The approach is based on Kalman filtering to model linear portions of on-line handwritten, particularly, handwritten numerals, and to detect abrupt changes in handwritten direction underlying a model change. This approach uses a Kalman filter framework constrained by a normalized line equation, where quadratic terms are linearized through a first-order Taylor expansion. The modeling is then carried out under the assumption that the state is deterministic and time-invariant, while the detection relies on double thresholding mechanism which tests for a violation of this assumption. The first threshold is based on an approach of layout kinetics. The second one takes into account the jump in angle between the past observed direction of layout and its current direction. The method proposed enables real-time processing. To illustrate the methodology proposed, some results obtained from handwritten numerals are presented.