PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (588 utterances, 2,109 words searched).

  1. I did know how to do this and have his feet coming forward but I've forgotten . MOT · eng_british_Manchester_II/nic01b.cha, line 524 · Nicole 2;00
  2. see how many you've got ? MOT · eng_british_Manchester_II/nic01b.cha, line 638 · Nicole 2;00
  3. how many are there ? MOT · eng_british_Manchester_II/nic01b.cha, line 648 · Nicole 2;00
  4. <how many can you count> [>] ? MOT · eng_british_Manchester_II/nic01b.cha, line 652 · Nicole 2;00
  5. how many are there ? MOT · eng_british_Manchester_II/nic01b.cha, line 949 · Nicole 2;00
  1. eng_british_Manchester_II/nic01b.cha, line 524 · Nicole, 2;0.25
    CHIyeah .
    MOTand then we want his feet , don't we ?
    MOT*MOT: I did know how to do this and have his feet coming forward but I've forgotten .
    MOTI think we need a bigger man actually to put his feet on like that .
    MOTdo them like that , look .
  2. eng_british_Manchester_II/nic01b.cha, line 638 · Nicole, 2;0.25
    MOTxxx a zapper .
    MOTshall we count them ?
    MOT*MOT: see how many you've got ?
    CHIno .
    CHIxxx .
  3. eng_british_Manchester_II/nic01b.cha, line 648 · Nicole, 2;0.25
    INVeh ?
    INVwhat ?
    MOT*MOT: how many are there ?
    MOTone two three four five .
    MOT<how many can you count> [>] ?
  4. eng_british_Manchester_II/nic01b.cha, line 652 · Nicole, 2;0.25
    MOThow many are there ?
    MOTone two three four five .
    MOT*MOT: <how many can you count> [>] ?
    CHI<five six seven> [<] .
    CHIxxx .
  5. eng_british_Manchester_II/nic01b.cha, line 949 · Nicole, 2;0.25
    MOTegg .
    MOTthat's right .
    MOT*MOT: how many are there ?
    CHItwo three four five .
    MOTwww .

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_II2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01b.chaNicole 2;0.252,109552.37

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. how5 · 100.0%