PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,514 words searched).

  1. what's she going to wear ? MOT · eng_british_Manchester_II/warr13b.cha, line 58 · Warren 2;02
  2. is she going to wear the blouse and the trousers ? MOT · eng_british_Manchester_II/warr13b.cha, line 60 · Warren 2;02
  3. is she going to wear these ? MOT · eng_british_Manchester_II/warr13b.cha, line 63 · Warren 2;02
  4. do you want her to wear that ? MOT · eng_british_Manchester_II/warr13b.cha, line 104 · Warren 2;02
  5. you want her to wear that as well ? MOT · eng_british_Manchester_II/warr13b.cha, line 113 · Warren 2;02
  1. eng_british_Manchester_II/warr13b.cha, line 58 · Warren, 2;2.12
    MOTI think she wants to keep her pants on .
    MOTshe might get cold with no pants on .
    MOT*MOT: what's she going to wear ?
    MOTis she going to wear the blouse and the trousers ?
    MOTis she going to wear these ?
  2. eng_british_Manchester_II/warr13b.cha, line 60 · Warren, 2;2.12
    MOTshe might get cold with no pants on .
    MOTwhat's she going to wear ?
    MOT*MOT: is she going to wear the blouse and the trousers ?
    MOTis she going to wear these ?
    CHIyeah .
  3. eng_british_Manchester_II/warr13b.cha, line 63 · Warren, 2;2.12
    MOTwhat's she going to wear ?
    MOTis she going to wear the blouse and the trousers ?
    MOT*MOT: is she going to wear these ?
    CHIyeah .
    MOTokay .
  4. eng_british_Manchester_II/warr13b.cha, line 104 · Warren, 2;2.12
    CHIthat one .
    CHIthat one .
    MOT*MOT: do you want her to wear that ?
    CHIyes .
    MOTright well we'd better take this blouse off then .
  5. eng_british_Manchester_II/warr13b.cha, line 113 · Warren, 2;2.12
    MOTright well we'd better take this blouse off then .
    CHIkeep it on .
    MOT*MOT: you want her to wear that as well ?
    CHIno .
    CHIwant that one .

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_II3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13b.chaWarren 2;2.121,514553.30

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. wear5 · 100.0%