Historical and Grammatical Texts. Arno Poebel

Object-Language and Metalanguage in Sanskrit Grammatical Texts

Generating Grammatical and Lexical Anaphora in Assembly Instructional Texts

In this paper, we discuss the problem of generating natural anaphora in assembly instructional texts. We rst present a detailed account of grammatical and lexical anaphora and we examine a set of constraints for selecting these devices. As language is often redundant and an optimal referring expression is computationally prohibitive, we take the view that the generation of anaphora should be ba...

A Comparative Study of Ideational Grammatical Metaphor in Scientific and Political Texts

Language, science and politics go together and learning these genres is to learn a language created for codifying, extending and transmitting scientific and political knowledge. Grammatical metaphor is divided into two broad areas: ideational and interpersonal.This paper focuses on the first type i.e. Ideational Grammatical Metaphor (IGM), which includes process types and nominalization.  The m...

Temporal classification for historical Romanian texts

In this paper we look at a task at border of natural language processing, historical linguistics and the study of language development, namely that of identifying the time when a text was written. We use machine learning classification using lexical, word ending and dictionary-based features, with linear support vector machines and random forests. We find that lexical features are the most help...

Named Entity Recognition for Digitised Historical Texts

We describe and evaluate a prototype system for recognising person and place names in digitised records of British parliamentary proceedings from the late 17th and early 19th centuries. The output of an OCR engine is the input for our system and we describe certain issues and errors in this data and discuss the methods we have used to overcome the problems. We describe our rule-based named enti...