Verbal Conversation
(Redirected from conversational speech)
A Verbal Conversation is a conversation that involves spoken utterances/verbal utterance sequences.
- AKA: Verbal Discourse.
- Context:
- It can range from being a Two-Agent Verbal Conversation to being a Multi-Agent Verbal Conversation.
- It can range from being a Pleasant Conversation to being a Neutral Conversation to being a Difficult Conversation.
- It can range from being a Coherent Conversation to being an Incoherent Conversation.
- It can be an input to a Verbal Conversation Recognition Task.
- Example(s):
- Counter-Example(s):
- See: Verbal Debate, Discussion.
References
2015
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/conversation Retrieved:2015-7-24.
- Conversation is a form of interactive, spontaneous communication between two or more people. Typically it occurs in spoken communication, as written exchanges are usually not referred to as conversations. The development of conversational skills and etiquette is an important part of socialization. The development of conversational skills in a new language is a frequent focus of language teaching and learning.
Conversation analysis is a branch of sociology which studies the structure and organization of human interaction, with a more specific focus on conversational interaction.
- Conversation is a form of interactive, spontaneous communication between two or more people. Typically it occurs in spoken communication, as written exchanges are usually not referred to as conversations. The development of conversational skills and etiquette is an important part of socialization. The development of conversational skills in a new language is a frequent focus of language teaching and learning.
2003
- (Galley et al., 2003) ⇒ Michel Galley, Kathleen McKeown, Eric Fosler-Lussier, and Hongyan Jing. (2003). “Discourse Segmentation of Multi-party Conversation.” In: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1. doi:10.3115/1075096.1075167
- QUOTE: We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about form using linguistic and acoustic cues about topic shifts extracted from speech.