PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (371 utterances, 1,980 words searched).

  1. well all the teddys are out now . MOT · eng_british_Manchester_II/warr15a.cha, line 114 · Warren 2;03
  2. all right . MOT · eng_british_Manchester_II/warr15a.cha, line 206 · Warren 2;03
  3. well it's all under a great pile of stuff . MOT · eng_british_Manchester_II/warr15a.cha, line 743 · Warren 2;03
  4. I hope Anna had finished all her coffee if you topped her up with tea . MOT · eng_british_Manchester_II/warr15a.cha, line 1068 · Warren 2;03
  5. it's getting all out . MOT · eng_british_Manchester_II/warr15a.cha, line 1188 · Warren 2;03
  1. eng_british_Manchester_II/warr15a.cha, line 114 · Warren, 2;3.02
    CHIoh that's a nice teddy .
    CHIlooking in those to see .
    MOT*MOT: well all the teddys are out now .
    CHIyou got naughty frog in the basket .
    CHIjust looking man .
  2. eng_british_Manchester_II/warr15a.cha, line 206 · Warren, 2;3.02
    MOTyou play there .
    MOTMummy'll get him a drink .
    MOT*MOT: all right .
    MOTshall I bring him something in a saucer ?
    CHIyes .
  3. eng_british_Manchester_II/warr15a.cha, line 743 · Warren, 2;3.02
    CHIrest of my tea set out .
    MOToh you'd like the rest of the tea set out .
    MOT*MOT: well it's all under a great pile of stuff .
    CHIwant my tea set .
    CHImy xxx .
  4. eng_british_Manchester_II/warr15a.cha, line 1068 · Warren, 2;3.02
    CHItea this time .
    MOTwas that tea ?
    MOT*MOT: I hope Anna had finished all her coffee if you topped her up with tea .
    MOTI'm not sure I fancy the idea of tea and coffee mixed .
    CHIhave a drink .
  5. eng_british_Manchester_II/warr15a.cha, line 1188 · Warren, 2;3.02
    MOTwhat's it doing ?
    CHIgetting people all out .
    MOT*MOT: it's getting all out .
    MOTgetting what out ?
    CHIgetting people out .

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. Warren eng_british_Manchester_II2.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr15a.chaWarren 2;3.021,980552.53

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. all5 · 100.0%