The Hcrc Map Task Corpus

Abstract

This paper describes a corpus of unscripted, task-oriented dialogues which has been designed, digitally recorded, and transcribed to support the study of spontaneous speech on many levels. The corpus uses the Map Task (Brown, Anderson, Yule, and Shillcock, 1983) in which speakers must collaborate verbally to reproduce on one participant's map a route printed on the other's. In all, the corpus includes four conversations from each of 64 young adults and manipulates the following variables: familiarity of speakers, eye contact between speakers, matching between landmarks on the participants' maps, opportunities for contrastive stress, and phonological characteristics of landmark names. The motivations for the design are set out and basic corpus statistics are presented.

Italian tag questions and their conversational functions

“…Anderson et al, 1991), two participants are in a room where they can hear each other but a screen separates them. They are both given a sheet of paper with 12 objects on it; some are the same for both participants, some are different.…”

Measuring Syntactic Priming in Dialogue Corpora

“…BNC: British National Corpus (Burnard, 2007(Burnard, ). et al, 2010, and annotated with either context-free rule expansions (sw-CFG) (Marcus et al, 1999) or CCG categories (sw-CCG-I and sw-CCG-N for incremental and normal form derivations, respectively (Hockenmaier and Steedman, 2007); and the MapTask corpus (Anderson et al, 1991) with CFG annotation (mp-CFG). We also look at lexical priming (sw-words).…”

Multi-level information and automatic dialog act detection in human–human spoken dialogs

“…Dialog act classification has also been carried out on the Map Task corpus [2]. This corpus consists of conversations between two speakers, each having in their possession a different map of an imaginary territory.…”

“…Number of occurrences of all dialog acts in the 3912 utterance units of the training corpus, grouped by class (1)(2)(3)(4)(5)(6)(7)(8).…”

“…• Most of the information is encoded in specific entities. 2 A question that arises here is what features are relevant for the vectors. We chose to use the number of utterance units in the turn, the words and the dialog act tags as features.…”