PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

8.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (398 utterances, 1,702 words searched).

  1. I have to do an x@l as well , do I ? INV · eng_british_Manchester_II/john08a.cha, line 85 · John 2;01
  2. what color shall we have next ? MOT · eng_british_Manchester_II/john08a.cha, line 293 · John 2;01
  3. shall we have another one ? MOT · eng_british_Manchester_II/john08a.cha, line 297 · John 2;01
  4. let's have a few more and then we can make a good necklace then . MOT · eng_british_Manchester_II/john08a.cha, line 322 · John 2;01
  5. let's have a red one next . MOT · eng_british_Manchester_II/john08a.cha, line 325 · John 2;01
  6. how many cotton reels have you got now ? MOT · eng_british_Manchester_II/john08a.cha, line 338 · John 2;01
  7. if we want to open it we have to do it that way . MOT · eng_british_Manchester_II/john08a.cha, line 451 · John 2;01
  8. you might have to +//. MOT · eng_british_Manchester_II/john08a.cha, line 651 · John 2;01
  9. shall we have a race with our two cars , John ? MOT · eng_british_Manchester_II/john08a.cha, line 743 · John 2;01
  10. do I have to do one ? INV · eng_british_Manchester_II/john08a.cha, line 763 · John 2;01
  11. shall we have a race with our two cars ? MOT · eng_british_Manchester_II/john08a.cha, line 801 · John 2;01
  12. are we going to have a race ? MOT · eng_british_Manchester_II/john08a.cha, line 809 · John 2;01
  13. oh I have to fix it , do I before I put it on ? MOT · eng_british_Manchester_II/john08a.cha, line 862 · John 2;01
  14. you have some toast in a minute . MOT · eng_british_Manchester_II/john08a.cha, line 1162 · John 2;01
  15. what have you got ? MOT · eng_british_Manchester_II/john08a.cha, line 1346 · John 2;01
  1. CHIx@l .
    CHIx@l .
    INV*INV: I have to do an x@l as well , do I ?
    CHIx@l .
    INVokay .
  2. MOTvery good , John .
    MOTwell done .
    MOT*MOT: what color shall we have next ?
    MOTgood .
    MOTshall we have another one ?
  3. MOTwhat color shall we have next ?
    MOTgood .
    MOT*MOT: shall we have another one ?
    MOTmmhm .
    MOTanother the blue one .
  4. MOTa necklace yes .
    MOTyes .
    MOT*MOT: let's have a few more and then we can make a good necklace then .
    MOTlet's have a red one next .
    MOTfind a red cotton reel .
  5. MOTyes .
    MOTlet's have a few more and then we can make a good necklace then .
    MOT*MOT: let's have a red one next .
    MOTfind a red cotton reel .
    CHIwhite one .
  6. MOTgood .
    CHIxxx .
    MOT*MOT: how many cotton reels have you got now ?
    MOTone .
    MOTtwo .
  7. MOTtwist it that way to close it .
    MOTnow it's stuck .
    MOT*MOT: if we want to open it we have to do it that way .
    MOTtwist it shut .
    MOTthat's it .
  8. MOTthat's it .
    CHIin there .
    MOT*MOT: you might have to +//.
    MOToh all right .
    MOTI was gonna [: going to] say too many cars in there .
  9. CHIclock .
    CHIthat's a clock .
    MOT*MOT: shall we have a race with our two cars , John ?
    CHIJohn .
    MOTcome on nosey .
  10. INVthere aren't any threes , are there ?
    CHIthree .
    INV*INV: do I have to do one ?
    INVthere we are .
    CHIthree four .
  11. INVthere you go .
    MOTJohn .
    MOT*MOT: shall we have a race with our two cars ?
    MOTthey don't go so well across the carpet but +...
    MOTthere .
  12. MOTthey don't go so well across the carpet but +...
    MOTthere .
    MOT*MOT: are we going to have a race ?
    MOTyou just park them in the garage then .
    CHIthere you go .
  13. CHIscrewdriver .
    MOTmmhm .
    MOT*MOT: oh I have to fix it , do I before I put it on ?
    CHIthis .
    MOTthat's good .
  14. MOTjust come and play the game .
    MOTI would leave the sticky one just for a moment while we're playing the game , John .
    MOT*MOT: you have some toast in a minute .
    MOTright okay .
    MOTthat's it .
  15. MOTright .
    MOTanother one .
    MOT*MOT: what have you got ?
    CHIcow .
    CHIcow .

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. John eng_british_Manchester_II8.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john08a.chaJohn 2;1.241,70215158.81

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. have15 · 100.0%