PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 2,039 words searched).

  1. how do you know he's sleeping ? MOT · eng_british_Manchester_II/warr05a.cha, line 469 · Warren 1;11
  2. how many engines does it need ? MOT · eng_british_Manchester_II/warr05a.cha, line 861 · Warren 1;11
  3. how [/] how many wheels can we see ? MOT · eng_british_Manchester_II/warr05a.cha, line 1085 · Warren 1;11
  4. how [/] how many wheels can we see ? MOT · eng_british_Manchester_II/warr05a.cha, line 1085 · Warren 1;11
  5. how many wheels are there ? MOT · eng_british_Manchester_II/warr05a.cha, line 1087 · Warren 1;11
  6. how many cats ? MOT · eng_british_Manchester_II/warr05a.cha, line 1508 · Warren 1;11
  7. how many sheep ? MOT · eng_british_Manchester_II/warr05a.cha, line 1534 · Warren 1;11
  1. MOTwhat's Spot doing ?
    CHIsleep .
    MOT*MOT: how do you know he's sleeping ?
    MOThis eyes are shut , aren't they ?
    CHII put that there .
  2. MOTit's got engines .
    MOTit's got an engine .
    MOT*MOT: how many engines does it need ?
    CHIbroken .
    MOTit needs another wing too , doesn't it ?
  3. CHIblue .
    MOTblue .
    MOT*MOT: how [/] how many wheels can we see ?
    MOThow many wheels are there ?
    MOToh dear .
  4. MOTblue .
    MOThow [/] how many wheels can we see ?
    MOT*MOT: how many wheels are there ?
    MOToh dear .
    CHIthat 0is [*] ripped .
  5. CHIMummy read it .
    MOTwww .
    MOT*MOT: how many cats ?
    CHIone two .
    MOTone cat .
  6. CHIsheeps [*] .
    MOTsheep .
    MOT*MOT: how many sheep ?
    CHIthere's a sheep .
    MOTcan Warren count the sheep ?

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_II3.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05a.chaWarren 1;11.262,039673.43

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. how7 · 100.0%