Sentence examples for speakers were identified from inspiring English sources

Academic investigators involved in functional neuroimaging research related to mood disorders (bipolar and unipolar disorders), schizophrenia, obsessive compulsive disorder (OCD), and/or attention deficit disorder (ADD /attention deficit hyperactivity disorder (ADHD) who were fluent English speakers were identified using a combination of purposive and snowball sampling methods.

Regions with significant differences between Chinese versus non-Chinese speakers were identified using a statistical threshold of P < 0.05 following correction for multiple comparison either across the whole brain or in our bilateral temporal regions of interest determined using a bilateral temporal mask image previously reported [Leff et al., 2008].

After each conference a private report of the meeting is circulated only to past and present participants, and in the report speakers are identified only by their country.

Then the active speakers are identified using the decomposed likelihood function.

In order to evaluate our method under various circumstances, we tested male-to-female (the source and the target speakers are identified with MMY and FTK in the database, respectively), female-to-female (FKN and FTK), and male-to-male (MMY and MHT) patterns.

Quotes presented below have been selected for typicality and eloquence in illustrating a particular analytic point; speakers are identified by pseudonym.

Box 1 Transcription notation Simplified and adapted version of jeffersonian transcribing conventions The speaker is identified by a participant identifier (P1 P28) followed by a colon.

The enemy of the after-dinner speaker is identified with remarkable success.

Quotes were chosen to best illustrate the themes emerging from data analysis and the speaker was identified only by (where known) parity, rural/urban focus group location, public/private status and if the woman was pregnant or had already had her baby, e.g. (primiparous, non-metropolitan, public, postnatal).

The number of active speakers must be estimated, these active speakers must be identified, and the locations of all speakers including inactive speakers must be tracked.

No names were associated with comments, but the interviewer's comments were identified and letters were assigned to distinguish speakers.