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Spontaneous speech, interaction & large databases for prosodic research. Roxane Bertrand & Cristel Portes Université de Provence Laboratoire Parole et Langage, UMR 6057 CNRS France. Prosody & pragmatics/discourse analysis. Information flow tradition Monologue Naturally occuring data
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Spontaneous speech,interaction& large databasesfor prosodic research Roxane Bertrand & Cristel Portes Université de Provence Laboratoire Parole et Langage, UMR 6057 CNRS France
Prosody & pragmatics/discourse analysis Information flow tradition Monologue Naturally occuring data Contextualization tradition Dialogue Grammar approach Constructed data Spontaneous speech in large databases Spontaneous speech, interaction & large databases for prosodic research
Prosody & pragmatics/discourse analysis • Beyond the sentence, 4 dimensions • 1. Using sentences: • speech acts, pragmatics • 2. Combining sentences: • coherence/cohesion, discourse analysis • 3. Adapting to context (situation): • discourse typology • 4. Coordinating with the interlocutor(s): • interaction, conversation analysis Spontaneous speech, interaction & large databases for prosodic research
Prosody and illocution Marandin (2004, 2006) Contours as constructions Spontaneous speech, interaction & large databases for prosodic research
Prosody and illocution Marandin (2004, 2006) Contours as constructions Spontaneous speech, interaction & large databases for prosodic research
Prosody & Illocution Portes, Bertrand & Espesser 2007 Spontaneous speech, interaction & large databases for prosodic research
A discourse prosodic unit:the paratone • Discourse topic = what a piece of discourse is ‘about’ • Paratone = a group of utterances corresponding to a discourse topic and prosodically marked: • Beginning phrases (vs intermediate vs final phrases) • higher and wider (resetting) • Delayed first pitch peak downtrend • Louder = between • Slower intonationalphrases (IP) • Final lowering • Very long pause • Brown & Yule (1983), Grosz & Hirschberg (1992), Swerts (1994), Wichmann (2000) Spontaneous speech, interaction & large databases for prosodic research
Phonological units are preserved in spontaneous data despite… • Disfluencies • Orthogonal prosodic variation • Tempo • Faster • slower • Pitch range • Register level • Register span • Both have discursive and interactional specific functions … Spontaneous speech, interaction & large databases for prosodic research
Disfluency insidethe Accentual phrase Spontaneous speech, interaction & large databases for prosodic research
Tempo & register variation Spontaneous speech, interaction & large databases for prosodic research
Slower tempo Spontaneous speech, interaction & large databases for prosodic research
Register Spontaneous speech, interaction & large databases for prosodic research
Interactional Linguistics Perspective (1)(Couper-Kuhlen 2001; Couper-Kuhlen & Selting, 1996) • Background • How linguistic structures are shaped by interaction? • How, simultaneously, linguistic structures influence interaction? Attempt of elaboration of an Interaction Grammar Interaction in langage? Linguistics in Interaction? Spontaneous speech, interaction & large databases for prosodic research
Interactional Linguistics Perspective (2) • Take into account verbal activities in which speakers are involved to reach some objectives or specific tasks in talk-in-interaction • Locate interactional activities (such as narratives, requests, reported speech, humor, etc.) • Characterize these activities at various linguistic levels • What type of resources available? Role of prosodic cues? • Observables, tools and methods from the Conversation Analysis(Sacks et al. 1974) • The Interactional Phonetics (Local, Ogden, etc.) Spontaneous speech, interaction & large databases for prosodic research
Basic notions of an approach of talk-in-interaction (1) • Naturally-occurring data • More often • BUT : elicited conversations, task-oriented corpus, etc. • enable to analyze in a systematic way the whole resources availabe • avoid to reject some phenomena (overlaps among others) (see Bertrand et al. 2008, The CID: Corpus of Interaction Data) • Activity collectively fulfilled • Take into account all the partners • Analysis unit based on their relevance in the interaction for the participants Spontaneous speech, interaction & large databases for prosodic research
Basic notions of an approach of talk-in-interaction (2) • Co-ordination, alignment and negociation according to the shared knowledge • Specific units or phenomena to make this understandable: • adjacency pair (request~answer for example, extract from the CID) Sp1 mais les euh les nanas du foyer elles étaient pas au courant but girls of residence they did not know Sp2 non non no no Sp1 ah… • Localisation in specific points (TCU & TRP) Spontaneous speech, interaction & large databases for prosodic research
Overview of the turn-taking system • Mechanism for the organization of turn-taking: • relies on 2 components related to the construction and the allocation of the turn • A turn constructional component = turn-constructional unit (TCU) • A turn-allocation component = transition relevance place (TRP) Spontaneous speech, interaction & large databases for prosodic research
TCU and TRP • How do speakers build and recognize TCU and TRP? • What type of resources or cues are used? • Turn-Constructional Unit (TCU): the smallest interactionnally relevant complete linguistic unit(Selting 1998: 40) • A TCU is a point of completeness (Ford & Thompson, 1996) • Syntactic (clause) • Prosodic (intonative unit achieved in a terminal rising) • Pragmatic (complete action of request and answer) • Transition-Relevance Place (TRP) • Completion points which make a transition relevant but not necessarily accomplished (Schegloff 1996: 55) Spontaneous speech, interaction & large databases for prosodic research
Crucial notion of Projection (1) • Large projects (Selting 2000) • Consists of more than 1 TCU = multi-unit turns (explanation, narratives, description, etc.) • Need to be projected by the SPEAKER • Typical prosodic features of turn-design are used locally to project more-to-come (Ogden 2005, Bertrand et al. 2007, Kern 2007) • pitch contours (extracted from the CID): the rising contour(H*H%) • Turn-holding device Spontaneous speech, interaction & large databases for prosodic research
Crucial Notion of Projection (2) • What about the RECIPIENT? • Each TRP occurs in a point of potential achievement built from the different linguistic criteria which are used by recipients as predictable cues. Spontaneous speech, interaction & large databases for prosodic research
Backchannel signals (1) • BCs are short utterances produced by the recipient • to co-construct discourse by orienting it in one or another way • different functions • Continuer • Acknowledgement • Assesment • Attitude statement, etc. • They provide information on interlocutor’s listening but also comprehension processes of discourse (Fox Tree 1999) • Prosodic role in the projection of this kind of response? Spontaneous speech, interaction & large databases for prosodic research
Backchannel signals (2) • Context of production of BCs • Higher occurrences of BC after terminal rising contours (continuation rise) • Different BC’s function according to a terminal rising vs a continuation rising (Bertrand et al. 2007) • function as continuer for continuative rising • function as assesment for terminal rising • Confirmation of the « more-to-come » intonation function • Prosodic cues organize the floor by making specific recipient response relevant. • Multimodal analysis(Bertrand et al. 2007): gestural resources also play a role in the context of production of BC • More gestural BC after continuative rising than vocal BC • less intrusive • Confirm that BC highlight some steps in the elaboration of discourse, and more precisely in the construction of different steps of the larger projects Spontaneous speech, interaction & large databases for prosodic research
Direct Reported Speech in conversation • Who is speaking and for what? • Reported speech is not only used to report words but also • to convey their assessment of the utterance while reproducing it (Holt 2000) • to increase one’s standing or saying something without really assuming it (Bertrand 2003) • to typify a character on which members of the same community shared knowledge and typical representations (Klewitz & Couper-Kuhlen 1999; Bertrand & Priego-Valverde, 2009) • Using of a specific prosodic delivery to make the another voice hearable and understable (Couper-Kuhlen 1996, Klewitz & Couper-Kuhlen 1999 Bertrand & Espesser 2002) • Melodic Shift in the beginning of DRS • But an absence of such a shift is yet a relevant cue • Specific prosodic design of each voice in a reported dialog Spontaneous speech, interaction & large databases for prosodic research
Reported dialog in conversation • Re(gister)Span/Re(gister)Le(vel) N(ormal) = direct speech • Rai(sed) and Exp(ansion) of span = reported speech (other figure) • N(ormal)/Com(pressed) = reported speech (self-quotation) Spontaneous speech, interaction & large databases for prosodic research
Prosodic orientation (Szczepek-Reed 2006) • Belongs to the general frame of the interactional orientation • throughout the course of a conversation (…) speakers display in their sequentially “next” turns an understanding of what the “prior” turn was about’ (Hutchby & Wooffitt 1998: 15). • Several cases of prosodic orientation • complementation of a prior turn • continuation of a previous unfinished prosodic pattern • copy of a previous prosodic pattern Spontaneous speech, interaction & large databases for prosodic research
Prosodic mapping in humor(Bertrand & Priego-Valverde 2009) and he put the detonators uh he works at I.R.A. yeah he is watchmaker at I.R.A and he blows up uh 4 TCUs with the same syntactic and prosodic form: little variation in f0 curve, slightly falling, final lengthening + filler (euh) Spontaneous speech, interaction & large databases for prosodic research
In Sum • Prosody is a crucial resource in the management of turn-taking system and in the structuring of various activities displayed in everyday conversations • Construction of turn • Projection of points of completion • Projection of more-to-come • Step by step constitution of the shared knowledge Spontaneous speech, interaction & large databases for prosodic research
Conclusion • Of course, naturally occurring data present to the observation multiple sources of information mixed together so that they may be hidden at first sight. • However, phonological (grammatical) units are recoverable in spontaneous speech. The confrontation of grammatical formalization with attested data and the reverse appear to be very fruitful. • In order to do so, we need a separate model of disfluencies (which are not grammatical but play important interactional roles). • We also need to treat orthogonal dimensions of prosody (tempo, pitch range, intensity) separately because of their specificity (gradience). • Finally, we need to dissociate the speaker from the addressee, and to study the way each of them takes its specific part in the co-construction of discourse. Spontaneous speech, interaction & large databases for prosodic research
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Prosodic cues in turn-taking Spontaneous speech, interaction & large databases for prosodic research