PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (592 utterances, 2,304 words searched).

  1. what about Postman_Pat ? MOT · eng_british_Manchester_II/nic08b.cha, line 393 · Nicole 2;03
  2. something about panda . INV · eng_british_Manchester_II/nic08b.cha, line 438 · Nicole 2;03
  3. what about this arm ? MOT · eng_british_Manchester_II/nic08b.cha, line 806 · Nicole 2;03
  4. sit down in your bath then and have a squish about . MOT · eng_british_Manchester_II/nic08b.cha, line 1070 · Nicole 2;03
  5. you've already been told that once about that . MOT · eng_british_Manchester_II/nic08b.cha, line 1385 · Nicole 2;03
  6. don't know about Nicole being tired . MOT · eng_british_Manchester_II/nic08b.cha, line 1532 · Nicole 2;03
  1. eng_british_Manchester_II/nic08b.cha, line 393 · Nicole, 2;3.03
    MOTwhere ?
    CHIPostman_Pat .
    MOT*MOT: what about Postman_Pat ?
    CHIseesaw .
    CHIseesaw .
  2. eng_british_Manchester_II/nic08b.cha, line 438 · Nicole, 2;3.03
    MOTI didn't catch that at all .
    MOTcan you say it again ?
    INV*INV: something about panda .
    MOTmum [/] mummy didn't catch what you said .
    MOTshe didn't hear properly .
  3. eng_british_Manchester_II/nic08b.cha, line 806 · Nicole, 2;3.03
    MOTblue .
    MOTaren't they pretty bracelets .
    MOT*MOT: what about this arm ?
    MOTno .
    MOThold your arm out .
  4. eng_british_Manchester_II/nic08b.cha, line 1070 · Nicole, 2;3.03
    CHIxxx .
    MOTwell .
    MOT*MOT: sit down in your bath then and have a squish about .
    MOTthat's it .
    CHIout .
  5. eng_british_Manchester_II/nic08b.cha, line 1385 · Nicole, 2;3.03
    MOTRachel's trying to write , isn't she ?
    MOTNicole .
    MOT*MOT: you've already been told that once about that .
    MOTno .
    CHIno .
  6. eng_british_Manchester_II/nic08b.cha, line 1532 · Nicole, 2;3.03
    MOTshall we start +//.
    MOToh dear me .
    MOT*MOT: don't know about Nicole being tired .
    MOTmummy is .
    MOTshall we start tidying up for Rachel ?

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_II2.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic08b.chaNicole 2;3.032,304662.60

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. about6 · 100.0%