PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (392 utterances, 1,783 words searched).

  1. we can't see his face . MOT · eng_british_Manchester_II/warr13a.cha, line 131 · Warren 2;02
  2. there's somebody's face there and they're missing a helmet . MOT · eng_british_Manchester_II/warr13a.cha, line 1216 · Warren 2;02
  3. can you see a helmet with no face ? MOT · eng_british_Manchester_II/warr13a.cha, line 1219 · Warren 2;02
  4. can you see a helmet with no face ? MOT · eng_british_Manchester_II/warr13a.cha, line 1223 · Warren 2;02
  1. MOTno .
    MOTwe can see his funnel , can't we ?
    MOT*MOT: we can't see his face .
    CHIoh there 0is [*] his face .
    MOToh yes .
  2. MOTwhere does that piece go do you think ?
    CHIover there .
    MOT*MOT: there's somebody's face there and they're missing a helmet .
    MOTcan you see a helmet with no face ?
    MOTon here .
  3. CHIover there .
    MOTthere's somebody's face there and they're missing a helmet .
    MOT*MOT: can you see a helmet with no face ?
    MOTon here .
    MOTcan you see a helmet with no face ?
  4. MOTcan you see a helmet with no face ?
    MOTon here .
    MOT*MOT: can you see a helmet with no face ?
    CHIoh there it is .
    MOTis it ?

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_II2.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13a.chaWarren 2;2.121,783442.24

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. face4 · 100.0%