Since corpus-based natural language processing has to deal with large corpora, efficient searching of the large corpora is inevitably necessary. For example, one might want to examine how a word or a phrase is used in the large corpora or to collect frequencies of all terms in the large corpora. Our system Sary solves these problems by providing fast full-text search facilities for a single lar...

Research corpora are representative collections of data and are essential to develop data-driven approaches in Music Information Research (MIR). We address the problem of building research corpora for MIR in Indian art music traditions of Hindustani and Carnatic music, considering several relevant criteria for building such corpora. We also discuss a methodology to assess the corpora based on t...

Aligned corpora are often-used resources in CLIR systems. The three qualities of translation corpora that most dramatically affect the performance of a corpus-based CLIR system are: (1) topical nearness to the translated queries, (2) the quality of the alignments, and (3) the size of the corpus. In this paper, the effects of these factors are studied and evaluated. Topics of two different domai...

We present an approach for querying collections of heterogeneous linguistic corpora that are annotated on multiple layers using arbitrary XML-based markup languages. An OWL ontology provides a homogenising view on the conceptually different markup languages so that a common querying framework can be established using the method of ontology-based query expansion. In addition, we present a highly...

the research was aimed at finding out the effects of the implementation of writing feedback techniques and students’ writing anxiety on students’ writing ablity. experimental method of 3x2 factorial design was employed in the research. there were three experimental groups of students who were taught by using teacher feedback, peer feedback and the combination of peer and teacher feedback writin...

The role of the Web for text corpus construction is becoming increasingly significant. However, the contribution of the Web is largely confined to building a general virtual corpus or low quality specialised corpora. In this paper, we introduce a new technique called SPARTAN for constructing specialised corpora from the Web by systematically analysing website contents. Our evaluations show that...

This chapter focuses on unsupervised corpus-based methods of word sense discrimination that are knowledge-lean, and do not rely on external knowledge sources such as machine readable dictionaries, concept hierarchies, or sense-tagged text. They do not assign sense tags to words; rather, they discriminate among word meanings based on information found in unannotated corpora. This chapter reviews...

The lack of readily-available large corpora of aligned monolingual sentence pairs is a major obstacle to the development of Statistical Machine Translation-based paraphrase models. In this paper, we describe the use of annotated datasets and Support Vector Machines to induce larger monolingual paraphrase corpora from a comparable corpus of news clusters found on the World Wide Web. Features inc...

We present two problems for statistically extracting bilingual lexicon: (1) How can noisy parallel corpora be used? (2) How can non-parallel yet comparable corpora be used? We describe our own work and contribution in relaxing the constraint of using only clean parallel corpora. DKvec is a method for extracting bilingual lexicons, from noisy parallel corpora based on arrival distances of words ...