PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (384 utterances, 1,290 words searched).

  1. shall we take these off then ? MOT · eng_british_Manchester_I/becky21a.cha, line 285 · Becky 2;07
  2. are these ears ? MOT · eng_british_Manchester_I/becky21a.cha, line 661 · Becky 2;07
  3. what about these ? MOT · eng_british_Manchester_I/becky21a.cha, line 682 · Becky 2;07
  4. are these ears ? MOT · eng_british_Manchester_I/becky21a.cha, line 684 · Becky 2;07
  5. these tights are too small for you now , aren't they ? MOT · eng_british_Manchester_I/becky21a.cha, line 1270 · Becky 2;07
  6. I don't know whether we're gonna [: going to] put sticky tape on all these . MOT · eng_british_Manchester_I/becky21a.cha, line 1391 · Becky 2;07
  1. eng_british_Manchester_I/becky21a.cha, line 285 · Becky, 2;7.02
    CHImmhm .
    MOTright .
    MOT*MOT: shall we take these off then ?
    MOTand start again ?
    CHIxxx .
  2. eng_british_Manchester_I/becky21a.cha, line 661 · Becky, 2;7.02
    CHIyeah .
    CHIcan you ?
    MOT*MOT: are these ears ?
    CHIno .
    CHIthey aren't .
  3. eng_british_Manchester_I/becky21a.cha, line 682 · Becky, 2;7.02
    CHIthey're not ears .
    MOToh .
    MOT*MOT: what about these ?
    MOTare these ears ?
    CHIyes .
  4. eng_british_Manchester_I/becky21a.cha, line 684 · Becky, 2;7.02
    MOToh .
    MOTwhat about these ?
    MOT*MOT: are these ears ?
    CHIyes .
    CHIthat's right .
  5. eng_british_Manchester_I/becky21a.cha, line 1270 · Becky, 2;7.02
    MOTthank you , Becky .
    MOTso don't pinch my face .
    MOT*MOT: these tights are too small for you now , aren't they ?
    MOTdon't please .
    MOTBecky .
  6. eng_british_Manchester_I/becky21a.cha, line 1391 · Becky, 2;7.02
    CHIwhere's some sticky tape .
    MOTwell .
    MOT*MOT: I don't know whether we're gonna [: going to] put sticky tape on all these .
    MOTwe didn't realize there were so many pages coming out .
    CHIcan we um fix the baa+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. Becky eng_british_Manchester_I4.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky21a.chaBecky 2;7.021,290664.65

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. these6 · 100.0%