PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

11.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,217 words searched).

  1. there we are . MOT · eng_british_Manchester_I/becky15a.cha, line 36 · Becky 2;05
  2. are you getting into the sand . MOT · eng_british_Manchester_I/becky15a.cha, line 50 · Becky 2;05
  3. here you are . MOT · eng_british_Manchester_I/becky15a.cha, line 101 · Becky 2;05
  4. going to get some tea , are you ? MOT · eng_british_Manchester_I/becky15a.cha, line 224 · Becky 2;05
  5. there we are . INV · eng_british_Manchester_I/becky15a.cha, line 323 · Becky 2;05
  6. what are you doing ? MOT · eng_british_Manchester_I/becky15a.cha, line 529 · Becky 2;05
  7. are we ? MOT · eng_british_Manchester_I/becky15a.cha, line 726 · Becky 2;05
  8. we're going in the car , are we ? MOT · eng_british_Manchester_I/becky15a.cha, line 736 · Becky 2;05
  9. what are you making ? MOT · eng_british_Manchester_I/becky15a.cha, line 749 · Becky 2;05
  10. there we are . MOT · eng_british_Manchester_I/becky15a.cha, line 1123 · Becky 2;05
  11. how are you ? MOT · eng_british_Manchester_I/becky15a.cha, line 1135 · Becky 2;05
  12. are you going for a walk ? MOT · eng_british_Manchester_I/becky15a.cha, line 1249 · Becky 2;05
  13. there you are . MOT · eng_british_Manchester_I/becky15a.cha, line 1269 · Becky 2;05
  14. there you are . MOT · eng_british_Manchester_I/becky15a.cha, line 1711 · Becky 2;05
  1. MOTno .
    MOTlet him sit on my knee now .
    MOT*MOT: there we are .
    CHIthere .
    CHIthere you are .
  2. INVin pool ?
    CHIin the sand .
    MOT*MOT: are you getting into the sand .
    CHIxxx sand .
    CHIsand xxx .
  3. MOTyou need some soap , do you ?
    CHIyeah .
    MOT*MOT: here you are .
    CHIthank you .
    CHIxxx .
  4. CHII'm gonna [: going to] get um # tea .
    INVpardon ?
    MOT*MOT: going to get some tea , are you ?
    CHIyeah .
    CHISukie_cat .
  5. CHIxxx .
    CHIthere we are .
    INV*INV: there we are .
    CHIoh pants .
    MOTwhoops .
  6. MOTBecky .
    MOTcome back in here please .
    MOT*MOT: what are you doing ?
    MOTshut the door .
    MOTthat's it .
  7. CHIyeah .
    MOTwe're going to see Minnie_Mouse again ?
    MOT*MOT: are we ?
    CHIyeah .
    MOTwhere ?
  8. CHII don't +...
    CHIwe 0are [*] going in the car .
    MOT*MOT: we're going in the car , are we ?
    MOTcan I come ?
    CHIyes please .
  9. CHIthank you .
    INVyou're welcome .
    MOT*MOT: what are you making ?
    CHII 0am [*] making a road .
    CHIcan't do it .
  10. MOTcan I try it on ?
    MOTthank you .
    MOT*MOT: there we are .
    CHII want to .
    MOTpardon ?
  11. CHIhi .
    MOThi .
    MOT*MOT: how are you ?
    CHIfine .
    MOTgood .
  12. MOThello .
    MOThello , Tiny_Tears .
    MOT*MOT: are you going for a walk ?
    CHIyes .
    CHIhe's having sleep .
  13. CHIyeah .
    MOToh .
    MOT*MOT: there you are .
    CHIhave a ticket .
    MOTanother one ?
  14. MOTlet's have a look .
    CHIxxx .
    MOT*MOT: there you are .
    CHIthere you are .
    CHIis it hard ?

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_I11.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky15a.chaBecky 2;5.011,217141411.50

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. are14 · 100.0%