We propose an ontology-based framework for linguistic annotation of written texts. We argue that linguistic annotation can be actually considered a special case of semantic annotation with regard to an ontology such as pursued within the context of the Semantic Web. Furthermore, we present CREAM, a semantic annotation framework, as well as its concrete implementation OntoMat and show how they c...

Most spoken texts that are used in second language (L2) listening classroom activities are scripted texts, where the text is written, revised, polished, and then read aloud with artificially clear enunciation and slow rate of speech. This article explores the field’s overreliance on these scripted texts, at the expense of including unscripted spoken texts that have very different textual and ph...

We propose a system for analyzing texts written in languages which don't make use of punctuation, with syntactic tagging in mind. The core system is a simple chart parser, but to cope with the complexity and ambiguity problems, we use simpliied nite-state automata, which guide the analysis. An application to Ancient Egyptian texts is introduced.

Shruti and Smriti: Revelation and Tradition [14] Shruti (“revealed”) texts have been divinely revealed to the early sages (rishis). Written in Sanskrit, and dated between 1500 and 300 BCE. Key examples: The Vedas and Upanishads. Smriti (“remembered”) texts are of human composition (albeit based on divine truths). Key examples: the Epics (e.g., the Bhagavad-Gita and the Ramayana), Puranas (e.g. ...

This paper aims to develop a new classification of errors made in Arabic by those suffering from dyslexia to be used in the annotation of the Arabic dyslexia corpus (BDAC). The dyslexic error classification for Arabic texts (DECA) comprises a list of spelling errors extracted from previous studies and a collection of texts written by people with dyslexia that can provide a framework to help ana...

The lack of a sufficient amount of data tailored for a task is a well-recognized problem for many statistical NLP methods. In this paper, we explore whether data sparsity can be successfully tackled when classifying language proficiency levels in the domain of learner-written output texts. We aim at overcoming data sparsity by incorporating knowledge in the trained model from another domain con...

This paper aims at describing the building of the online corpora on Philippine languages as part of the online repository system called Palito. There are five components of the corpora: the top four major Philippine languages which are Tagalog, Cebuano, Ilocano and Hiligaynon and the Filipino Sign Language (FSL). The four languages are composed of 250,000-word written texts each, whereas the FS...

A statistical physics study of punctuation effects on sentence lengths is presented for written texts: Alice in wonderland and Through a looking glass. The translation of the first text into esperanto is also considered as a test for the role of punctuation in defining a style, and for contrasting natural and artificial, but written, languages. Several log-log plots of the sentence length-rank ...