PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (637 utterances, 2,284 words searched).

  1. hello . INV · eng_british_Manchester_II/nic01a.cha, line 378 · Nicole 2;00
  2. hello . INV · eng_british_Manchester_II/nic01a.cha, line 542 · Nicole 2;00
  3. say hello . MOT · eng_british_Manchester_II/nic01a.cha, line 544 · Nicole 2;00
  4. +" hello Lucy . MOT · eng_british_Manchester_II/nic01a.cha, line 566 · Nicole 2;00
  5. hello . MOT · eng_british_Manchester_II/nic01a.cha, line 630 · Nicole 2;00
  6. hello . MOT · eng_british_Manchester_II/nic01a.cha, line 1476 · Nicole 2;00
  7. hello . INV · eng_british_Manchester_II/nic01a.cha, line 1731 · Nicole 2;00
  1. eng_british_Manchester_II/nic01a.cha, line 378 · Nicole, 2;0.25
    MOToh .
    MOTare you playing peepbo [: peekaboo] now with Caroline ?
    INV*INV: hello .
    INVwhere's Mummy ?
    INVis Mummy going to hide ?
  2. eng_british_Manchester_II/nic01a.cha, line 542 · Nicole, 2;0.25
    MOTwhat's that ?
    MOTwhat do you do with that ?
    INV*INV: hello .
    MOTsay hello .
    MOTdo you talk on the telephone ?
  3. eng_british_Manchester_II/nic01a.cha, line 544 · Nicole, 2;0.25
    MOTwhat do you do with that ?
    INVhello .
    MOT*MOT: say hello .
    MOTdo you talk on the telephone ?
    CHIyeah .
  4. eng_british_Manchester_II/nic01a.cha, line 566 · Nicole, 2;0.25
    MOT<you tell her> [//] you ask her if she's poorly .
    MOTsay +"/.
    MOT*MOT: +" hello Lucy .
    CHIpoorly .
    MOTsay +"/.
  5. eng_british_Manchester_II/nic01a.cha, line 630 · Nicole, 2;0.25
    MOT+" hope you feel better soon .
    CHIhello .
    MOT*MOT: hello .
    CHIhello .
    CHIxxx .
  6. eng_british_Manchester_II/nic01a.cha, line 1476 · Nicole, 2;0.25
    MOTNicole .
    MOTare you cooking ?
    MOT*MOT: hello .
    CHIyeah .
    MOTyeah ?
  7. eng_british_Manchester_II/nic01a.cha, line 1731 · Nicole, 2;0.25
    INVwww .
    CHIhello .
    INV*INV: hello .
    MOTcan you see Caroline through there ?
    CHIyeah .

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_II3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01a.chaNicole 2;0.252,284773.06

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. hello7 · 100.0%