PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (404 utterances, 2,002 words searched).

  1. that's very good except you counted one of them twice . MOT · eng_british_Manchester_II/warr09b.cha, line 176 · Warren 2;01
  2. good job we've not got concrete floors with no carpets on . MOT · eng_british_Manchester_II/warr09b.cha, line 339 · Warren 2;01
  3. you're good at jigsaws , aren't you ? MOT · eng_british_Manchester_II/warr09b.cha, line 426 · Warren 2;01
  4. that's not very good , is it ? MOT · eng_british_Manchester_II/warr09b.cha, line 605 · Warren 2;01
  5. well you did such a good job of getting him <then Mummy> [//] shall Mummy help ? MOT · eng_british_Manchester_II/warr09b.cha, line 1191 · Warren 2;01
  1. eng_british_Manchester_II/warr09b.cha, line 176 · Warren, 2;1.01
    MOThow many firefighters are there ?
    CHIone two three four five six seven eight .
    MOT*MOT: that's very good except you counted one of them twice .
    CHIlight .
    CHIlights .
  2. eng_british_Manchester_II/warr09b.cha, line 339 · Warren, 2;1.01
    CHIbang a leg .
    MOTyeah .
    MOT*MOT: good job we've not got concrete floors with no carpets on .
    CHInot got body there .
    MOTwhat a wild boy .
  3. eng_british_Manchester_II/warr09b.cha, line 426 · Warren, 2;1.01
    CHIpull the wheel .
    CHIpull the wheel off .
    MOT*MOT: you're good at jigsaws , aren't you ?
    MOTshall we get out your kitten and puppy jigsaws ?
    CHIget some more [/] more jigsaw .
  4. eng_british_Manchester_II/warr09b.cha, line 605 · Warren, 2;1.01
    MOTthree gaps .
    MOTone here and one here and one here .
    MOT*MOT: that's not very good , is it ?
    MOTterrible child .
    MOTshall we take that one apart and make it again ?
  5. eng_british_Manchester_II/warr09b.cha, line 1191 · Warren, 2;1.01
    CHIWarren 0is [*] getting it .
    CHIWarren 0is [*] getting it .
    MOT*MOT: well you did such a good job of getting him <then Mummy> [//] shall Mummy help ?
    CHIxxx .
    MOTWarren .

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_II2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr09b.chaWarren 2;1.012,002552.50

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. good5 · 100.0%