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Latin: A Linguistic Introduction

By Renato Oniga and Norma Shifano

Applies the principles of contemporary linguistics to the study of Latin and provides clear explanations of grammatical rules alongside diagrams to illustrate complex structures.


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The Ancient Language, and the Dialect of Cornwall, with an Enlarged Glossary of Cornish Provincial Words

By Frederick W.P. Jago

Containing around 3,700 dialect words from both Cornish and English,, this glossary was published in 1882 by Frederick W. P. Jago (1817–92) in an effort to describe and preserve the dialect as it too declined and it is an invaluable record of a disappearing dialect and way of life.


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Linguistic Bibliography for the Year 2013

The Linguistic Bibliography is by far the most comprehensive bibliographic reference work in the field. This volume contains up-to-date and extensive indexes of names, languages, and subjects.


Academic Paper


Title: Correlations between Dialogue Acts and Learning in Spoken Tutoring Dialogues
Diane Litman
Institution: University of Pittsburgh
Author: Kate Forbes-Riley
Institution: University of Pittsburgh
Linguistic Field: Applied Linguistics; Computational Linguistics; Text/Corpus Linguistics
Abstract: We examine correlations between dialogue behaviors and learning in tutoring, using two corpora of spoken tutoring dialogues: a human-human corpus and a human-computer corpus. To formalize the notion of dialogue behavior, we manually annotate our data using a tagset of student and tutor dialogue acts relative to the tutoring domain. A unigram analysis of our annotated data shows that student learning correlates both with the tutor's dialogue acts and with the student's dialogue acts. A bigram analysis shows that student learning also correlates with joint patterns of tutor and student dialogue acts. In particular, our human-computer results show that the presence of student utterances that display reasoning (whether correct or incorrect), as well as the presence of reasoning questions asked by the computer tutor, both positively correlate with learning. Our human-human results show that student introductions of a new concept into the dialogue positively correlates with learning, but student attempts at deeper reasoning (particularly when incorrect), and the human tutor's attempts to direct the dialogue, both negatively correlate with learning. These results suggest that while the use of dialogue act n-grams is a promising method for examining correlations between dialogue behavior and learning, specific findings can differ in human versus computer tutoring, with the latter better motivating adaptive strategies for implementation.

CUP at LINGUIST

This article appears in Natural Language Engineering Vol. 12, Issue 2, which you can read on Cambridge's site or on LINGUIST .



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