Syllabuses are used to ensure consistency between educational institutions. A modularized syllabus contains weightages assigned to different units of a subject. Different criteria like Bloom’s taxonomy, learning outcomes etc., have been used for evaluating the syllabus coverage of a question paper. But we have not come across any work that focuses on syntactic text similarity evaluation of unit...

Block level segments obtained from e-learning material should form cohesive blocks of e-learning content not only from continuity perspective but also from concept coverage perspective. Therefore in this work two new evaluation measures specificity and proximity have been proposed to evaluate the segments from this concept coverage perspective. These two methods of segmentation have been compar...

This paper presents an algorithm for unsupervised learning of morphological analysis and generation of in ectionally rich languages like Hindi, given a low coverage morph and a corpus of raw text. It assumes no particular theoretical model of morph, but can work with any morph that de nes classes of stem that behave similarly. The morph learning algorithm uses the concept of 'observable paradig...

Although punctuation is pervasive in written text, their treatment in parsers and corpora is often second-class. We examine the treatment of commas in CCGbank, a wide-coverage corpus for Combinatory Categorial Grammar (CCG), reanalysing its comma structures in order to eliminate a class of redundant rules, obtaining a more consistent treebank. We then eliminate these rules from C&C, a wide-cove...

This paper explores the use of the resources in the National Library of Medicine's Unified Medical Language System (UMLS) for the construction of a lexicon useful for processing texts in the field of molecular biology. A lexicon is constructed from overlapping terms in the UMLS SPECIALIST lexicon and the UMLS Metathesaurus to obtain both morphosyntactic and semantic information for terms, and t...

In this work, we examine and attempt to extend the coverage of a German HPSG grammar. We use the grammar to parse a corpus of newspaper text and evaluate the proportion of sentences which have a correct attested parse, and analyse the cause of errors in terms of lexical or constructional gaps which prevent parsing. Then, using a maximum entropy model, we evaluate prediction of lexical types in ...

Sequences found at the beginning of TV shows help the audience absorb the essence of previous episodes, and grab their attention with upcoming plots. In this paper, we propose a novel task, text recap extraction. Compared with conventional summarization, text recap extraction captures the duality of summarization and plot contingency between adjacent episodes. We present a new dataset, TVRecap,...

We present sppc, a high-performance system for intelligent text extraction and navigation from German free text documents. sppc consists of a set of domainindependent shallow core components which are realized by means of cascaded weighted finite state machines and generic dynamic tries. All extracted information is represented uniformly in one data structure (called the text chart) in a highly...

This paper presents a multi-tier algorithm to extract a sentence set from a large raw text corpus for synthesis of Mandarin speech, taking account of varied prosodic and spectral characteristics. The prosodic and spectral characteristics are statistically analyzed from the text corpus and transcribed as syllable-sized unit candidates in a multi-tier way. The unit candidates cover all of the syl...

Early use of corpora for language learning has included analysis of word usage via concordancing. In addition, some attempts have been made to use readability criteria for recommending reading to learners. In this paper we discuss various tools and approaches for enhanced language learning support, including different methods of filtering text based on vocabulary and grammatical criteria. We de...