PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (637 utterances, 2,284 words searched).

  1. do you think Caroline'd like a sandwich ? MOT · eng_british_Manchester_II/nic01a.cha, line 1329 · Nicole 2;00
  2. are you going to come and make a sandwich then for her ? MOT · eng_british_Manchester_II/nic01a.cha, line 1336 · Nicole 2;00
  3. is she going to have a sausage sandwich ? MOT · eng_british_Manchester_II/nic01a.cha, line 1436 · Nicole 2;00
  4. can you get another slice of bread and make a sandwich ? MOT · eng_british_Manchester_II/nic01a.cha, line 1510 · Nicole 2;00
  5. can I have another slice of bread on my sandwich ? INV · eng_british_Manchester_II/nic01a.cha, line 1518 · Nicole 2;00
  6. are you going to put that on the sandwich like that , look . MOT · eng_british_Manchester_II/nic01a.cha, line 1529 · Nicole 2;00
  7. a nice healthy sandwich there . INV · eng_british_Manchester_II/nic01a.cha, line 1532 · Nicole 2;00
  1. MOThmm ?
    MOTshall we see what else there is ?
    MOT*MOT: do you think Caroline'd like a sandwich ?
    CHIyeah .
    MOThmm ?
  2. CHIyeah .
    MOThmm ?
    MOT*MOT: are you going to come and make a sandwich then for her ?
    CHIyeah .
    MOTgo on then .
  3. MOTno .
    MOTthey're sausages .
    MOT*MOT: is she going to have a sausage sandwich ?
    CHIyeah .
    MOTcan you say sausage ?
  4. MOTthere .
    CHIxxx .
    MOT*MOT: can you get another slice of bread and make a sandwich ?
    MOTyou're not very helpful today , are you ?
    CHIoh .
  5. MOTyou're not very helpful today , are you ?
    CHIoh .
    INV*INV: can I have another slice of bread on my sandwich ?
    CHIyeah .
    INVthank you .
  6. INVcan you go and get it ?
    MOToh .
    MOT*MOT: are you going to put that on the sandwich like that , look .
    INVa nice healthy sandwich there .
    MOTthere .
  7. MOToh .
    MOTare you going to put that on the sandwich like that , look .
    INV*INV: a nice healthy sandwich there .
    MOTthere .
    MOTare you going to pass that to Caroline ?

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. Nicole eng_british_Manchester_II3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01a.chaNicole 2;0.252,284773.06

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. sandwich7 · 100.0%