PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (531 utterances, 2,054 words searched).

  1. yeah ? MOT · eng_british_Manchester_II/nic07a.cha, line 353 · Nicole 2;02
  2. yeah . MOT · eng_british_Manchester_II/nic07a.cha, line 408 · Nicole 2;02
  3. yeah . MOT · eng_british_Manchester_II/nic07a.cha, line 451 · Nicole 2;02
  4. yeah . MOT · eng_british_Manchester_II/nic07a.cha, line 742 · Nicole 2;02
  5. yeah . MOT · eng_british_Manchester_II/nic07a.cha, line 1068 · Nicole 2;02
  6. yeah . MOT · eng_british_Manchester_II/nic07a.cha, line 1355 · Nicole 2;02
  7. yeah . MOT · eng_british_Manchester_II/nic07a.cha, line 1424 · Nicole 2;02
  1. eng_british_Manchester_II/nic07a.cha, line 353 · Nicole, 2;2.27
    MOTlike that .
    MOTand you pull it .
    MOT*MOT: yeah ?
    MOThave another go ?
    MOToh .
  2. eng_british_Manchester_II/nic07a.cha, line 408 · Nicole, 2;2.27
    MOTwhat did you see lots and lots of ?
    CHI&a quack^quack@o .
    MOT*MOT: yeah .
    MOTand what else ?
    CHIxxx .
  3. eng_british_Manchester_II/nic07a.cha, line 451 · Nicole, 2;2.27
    MOTgoose and a little hen , wasn't there that we stood watching one morning .
    CHIyeah .
    MOT*MOT: yeah .
    CHIand [/] and a baa .
    MOTwhat goes baa@o ?
  4. eng_british_Manchester_II/nic07a.cha, line 742 · Nicole, 2;2.27
    MOTxxx .
    MOT+" in the bright +//.
    MOT*MOT: yeah .
    MOT+" in the bright +//.
    MOToh .
  5. eng_british_Manchester_II/nic07a.cha, line 1068 · Nicole, 2;2.27
    MOTwe're listening to this exciting story .
    MOTwe're waiting for the next page .
    MOT*MOT: yeah .
    MOTwe are .
    MOTwaiting for the next page .
  6. eng_british_Manchester_II/nic07a.cha, line 1355 · Nicole, 2;2.27
    MOTxxx .
    CHImmhm .
    MOT*MOT: yeah .
    MOTxxx .
    MOTwhat are they Caroline's pinching ?
  7. eng_british_Manchester_II/nic07a.cha, line 1424 · Nicole, 2;2.27
    MOTcome over here .
    CHIno .
    MOT*MOT: yeah .
    CHIno .
    MOTcome here .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Nicole eng_british_Manchester_II3.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07a.chaNicole 2;2.272,054773.41

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. yeah7 · 100.0%