PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,557 words searched).

  1. are you going to make some tea ? MOT · eng_british_Manchester_I/becky08a.cha, line 15 · Becky 2;02
  2. I'll have a cup of tea please . INV · eng_british_Manchester_I/becky08a.cha, line 23 · Becky 2;02
  3. come and finish this tea off now then . MOT · eng_british_Manchester_I/becky08a.cha, line 303 · Becky 2;02
  4. come on and finish this tea now . MOT · eng_british_Manchester_I/becky08a.cha, line 351 · Becky 2;02
  5. shall we go back to this tea now , Becky ? MOT · eng_british_Manchester_I/becky08a.cha, line 731 · Becky 2;02
  6. what about this tea that we were having ? MOT · eng_british_Manchester_I/becky08a.cha, line 772 · Becky 2;02
  1. eng_british_Manchester_I/becky08a.cha, line 15 · Becky, 2;2.22
    MOToh .
    MOT*MOT: are you going to make some tea ?
    CHIyeah .
    CHIdo you want some tea ?
  2. eng_british_Manchester_I/becky08a.cha, line 23 · Becky, 2;2.22
    CHIdo you want some tea ?
    INVyes please .
    INV*INV: I'll have a cup of tea please .
    MOTdo you want some saucers ?
    CHIyeah .
  3. eng_british_Manchester_I/becky08a.cha, line 303 · Becky, 2;2.22
    MOTno .
    MOTdon't do that .
    MOT*MOT: come and finish this tea off now then .
    MOTwhat's the matter ?
    CHIwhat's that ?
  4. eng_british_Manchester_I/becky08a.cha, line 351 · Becky, 2;2.22
    CHIxxx .
    MOTright .
    MOT*MOT: come on and finish this tea now .
    MOTwhat's the matter ?
    CHInappy .
  5. eng_british_Manchester_I/becky08a.cha, line 731 · Becky, 2;2.22
    CHIno .
    MOTright .
    MOT*MOT: shall we go back to this tea now , Becky ?
    MOTdon't do that .
    MOTyou'll get your face scratched .
  6. eng_british_Manchester_I/becky08a.cha, line 772 · Becky, 2;2.22
    CHImore .
    MOTmmhm .
    MOT*MOT: what about this tea that we were having ?
    CHIum don't know .
    MOTyou don't know ?

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_I3.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky08a.chaBecky 2;2.221,557663.85

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. tea6 · 100.0%