PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (362 utterances, 1,670 words searched).

  1. how many vehicles have you got on already ? MOT · eng_british_Manchester_II/warr32b.cha, line 689 · Warren 2;08
  2. how will it get out I wonder ? MOT · eng_british_Manchester_II/warr32b.cha, line 789 · Warren 2;08
  3. how does it go ? MOT · eng_british_Manchester_II/warr32b.cha, line 1013 · Warren 2;08
  4. how does it go ? MOT · eng_british_Manchester_II/warr32b.cha, line 1017 · Warren 2;08
  5. how does it go ? MOT · eng_british_Manchester_II/warr32b.cha, line 1021 · Warren 2;08
  6. see how it +//. MOT · eng_british_Manchester_II/warr32b.cha, line 1322 · Warren 2;08
  1. eng_british_Manchester_II/warr32b.cha, line 689 · Warren, 2;8.24
    MOTthey're probably not +...
    CHImaybe [/] maybe some # other vehicles .
    MOT*MOT: how many vehicles have you got on already ?
    MOThave you got four on ?
    CHIone is here .
  2. eng_british_Manchester_II/warr32b.cha, line 789 · Warren, 2;8.24
    MOTmmhm .
    MOTthat one's stuck , isn't it ?
    MOT*MOT: how will it get out I wonder ?
    CHIoh it can't get out .
    CHIlook .
  3. eng_british_Manchester_II/warr32b.cha, line 1013 · Warren, 2;8.24
    CHIno .
    CHIMummy sing draw buckets .
    MOT*MOT: how does it go ?
    MOTI've forgotten .
    MOThow does it go ?
  4. eng_british_Manchester_II/warr32b.cha, line 1017 · Warren, 2;8.24
    MOThow does it go ?
    MOTI've forgotten .
    MOT*MOT: how does it go ?
    MOTI've forgotten .
    MOThow does it go ?
  5. eng_british_Manchester_II/warr32b.cha, line 1021 · Warren, 2;8.24
    MOThow does it go ?
    MOTI've forgotten .
    MOT*MOT: how does it go ?
    MOTdraw buckets of +...
    CHI++ water .
  6. eng_british_Manchester_II/warr32b.cha, line 1322 · Warren, 2;8.24
    MOTright .
    MOTlet's have a little feel .
    MOT*MOT: see how it +//.
    MOToh that tummy's poorly , isn't it ?
    MOTdoes that hurt ?

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_II3.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr32b.chaWarren 2;8.241,670663.59

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. how6 · 100.0%