PHPCLANCHILDES with regular expressions

13 matches in 12 utterances

8.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,532 words searched).

  1. and her pants # she is quite clever # M can dress can't she ? GRA · bilingual_eng_Deuchar/870528eg.cha, line 131 · M 1;11
  2. does M put on her # clothes sometimes ? GRA · bilingual_eng_Deuchar/870528eg.cha, line 132 · M 1;11
  3. it's a long time ago already when [//] what happened here M you remember ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 229 · M 1;11
  4. right # now I am going to have another look at another paper I'm especially interested in # this one . MOT · bilingual_eng_Deuchar/870528eg.cha, line 349 · M 1;11
  5. M . MOT · bilingual_eng_Deuchar/870528eg.cha, line 377 · M 1;11
  6. mm # one for M and one for mummy perhaps ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 385 · M 1;11
  7. what is here M ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 448 · M 1;11
  8. it says d # d for # what does M+D stand for ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 498 · M 1;11
  9. what does M+D stand for <mummy's things> [>] . MOT · bilingual_eng_Deuchar/870528eg.cha, line 506 · M 1;11
  10. M likes that doesn't she ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 569 · M 1;11
  11. where is d [/] where is daddy now M # where is daddy now # where is he really # where is daddy ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 941 · M 1;11
  12. I don't think we need dog # cause look M [/] M # we're [/] we're going to have a snack soon and then we'll go … GRA · bilingual_eng_Deuchar/870528eg.cha, line 979 · M 1;11
  13. I don't think we need dog # cause look M [/] M # we're [/] we're going to have a snack soon and then we'll go out . GRA · bilingual_eng_Deuchar/870528eg.cha, line 979 · M 1;11
  1. GRAshe takes off her dressing gown and her night dress and she puts on her # vest .
    CHIuh .
    GRA*GRA: and her pants # she is quite clever # M can dress can't she ?
    GRAdoes M put on her # clothes sometimes ?
    CHIyes .
  2. CHIuh .
    GRAand her pants # she is quite clever # M can dress can't she ?
    GRA*GRA: does M put on her # clothes sometimes ?
    CHIyes .
    GRAyou put on a shirt sometimes ?
  3. MOThaven't you seen her since +...
    MOTyou haven't seen her since .
    MOT*MOT: it's a long time ago already when [//] what happened here M you remember ?
    GRAdid you have a bump ?
    CHIyes .
  4. CHIand cupboard .
    GRAcupboard .
    MOT*MOT: right # now I am going to have another look at another paper I'm especially interested in # this one .
    CHIyyy .
    MOTyou know any of these # parrots ?
  5. MOTdoes mummy write with a pencil sometimes ?
    CHIM .
    MOT*MOT: M .
    CHImummy's .
    MOTmummy .
  6. MOTmummy .
    CHImum [/] M's mummy .
    MOT*MOT: mm # one for M and one for mummy perhaps ?
    MOTright here is another page that is interesting # oh what is this ?
    CHIyyy .
  7. MOTmm .
    MOTright now let's find another page that mummy likes # I want this page uh !
    MOT*MOT: what is here M ?
    CHIduck .
    MOToh !
  8. CHInine .
    MOTit says nine does'nt it ?
    MOT*MOT: it says d # d for # what does M+D stand for ?
    CHIyyy .
    MOTmm ?
  9. MOTmm ?
    CHIyyy .
    MOT*MOT: what does M+D stand for <mummy's things> [>] .
    CHIone [<] .
    CHItwo .
  10. MOTmm ?
    CHIM .
    MOT*MOT: M likes that doesn't she ?
    MOTwhat are they called ?
    CHIyyy .
  11. CHIdaddy M .
    GRAdaddy Mina and where's that ?
    MOT*MOT: where is d [/] where is daddy now M # where is daddy now # where is he really # where is daddy ?
    CHIdaddy .
    MOTdaddy is in the picture ?
  12. MOTtalked rather a lot today .
    CHImummy .
    GRA*GRA: I don't think we need dog # cause look M [/] M # we're [/] we're going to have a snack soon and then we'll go out .
    CHI0.
    MOTshall we have a snack ?

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. M bilingual_eng_Deuchar8.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870528eg.chaM 1;11.041,53212138.49

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. m13 · 100.0%