PHPCLANCHILDES with regular expressions

13 matches in 12 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (702 utterances, 4,460 words searched).

  1. mm hm . MOT · bilingual_eng_Deuchar/870129eg.cha, line 134 · M 1;07
  2. mm # granny's got boots on today it was so cold . GRA · bilingual_eng_Deuchar/870129eg.cha, line 209 · M 1;07
  3. mm no # she [/] she does play a lot with [>] +... MOT · bilingual_eng_Deuchar/870129eg.cha, line 211 · M 1;07
  4. mm [<] ? GRA · bilingual_eng_Deuchar/870129eg.cha, line 255 · M 1;07
  5. <mm # mm> [<] . HVI · bilingual_eng_Deuchar/870129eg.cha, line 259 · M 1;07
  6. <mm # mm> [<] . HVI · bilingual_eng_Deuchar/870129eg.cha, line 259 · M 1;07
  7. mm ? GRA · bilingual_eng_Deuchar/870129eg.cha, line 274 · M 1;07
  8. mm . GRA · bilingual_eng_Deuchar/870129eg.cha, line 953 · M 1;07
  9. mm . GRA · bilingual_eng_Deuchar/870129eg.cha, line 1345 · M 1;07
  10. mm . GRA · bilingual_eng_Deuchar/870129eg.cha, line 1467 · M 1;07
  11. mm yes a bucket that's a clever girl . GRA · bilingual_eng_Deuchar/870129eg.cha, line 1549 · M 1;07
  12. mm # M's ? GRA · bilingual_eng_Deuchar/870129eg.cha, line 1722 · M 1;07
  13. mm . GRA · bilingual_eng_Deuchar/870129eg.cha, line 1744 · M 1;07
  1. CHI0.
    HVIthe next # assessment that she has xxx two [//] at two and a half which is a more formal assessment she has a medical part with a doctor as well .
    MOT*MOT: mm hm .
    GRAthat's an +...
    HVIare you following ?
  2. CHIgranny [<] .
    CHIgranny [<] .
    GRA*GRA: mm # granny's got boots on today it was so cold .
    MOTmm no # she [/] she does play a lot with [>] +...
    HVIyes [<] .
  3. CHIgranny [<] .
    GRAmm # granny's got boots on today it was so cold .
    MOT*MOT: mm no # she [/] she does play a lot with [>] +...
    HVIyes [<] .
    MOT+, other children .
  4. GRA<what are those> [<] ?
    CHIabi [<] .
    GRA*GRA: mm [<] ?
    CHIabi [<] .
    HVI<mm # mm> [<] .
  5. GRAmm [<] ?
    CHIabi [<] .
    HVI*HVI: <mm # mm> [<] .
    CHIabi .
    HVIdid you [//] was it the centile chart that you [/] you tracked her <up against> [>] ?
  6. HVIwhat whereabouts <is she> [>] .
    CHIgalleta [<] .
    GRA*GRA: mm ?
    MOTshe was in [//] well in the height I think she was quite <# she was within the> [/] # she was within the normal distribution but about [//] I don't know # about the fifth .
    CHIgalleta [<] .
  7. HVIbut bear in mind # growth spurts .
    CHIgranny .
    GRA*GRA: mm .
    MOTbear in mind her # grandmother and father's large heads .
    HVIyes exactly .
  8. GRAoh !
    CHIyyy .
    GRA*GRA: mm .
    CHI0.
    GRAoh oof is it hot ?
  9. GRAhe's eating the carrot isn't he ?
    CHInina [?] .
    GRA*GRA: mm .
    GRAeating the carrot .
    GRAlook .
  10. GRAthere's a +...
    CHIbucket .
    GRA*GRA: mm yes a bucket that's a clever girl .
    GRAshe's <feeding the hens> [//] feeding the chickens .
    CHI0.
  11. CHIyyy .
    CHIyyy .
    GRA*GRA: mm # M's ?
    GRAI think it's broken .
    GRAyes it won't go on .
  12. CHIyyy .
    GRAare you going to take dog and have the clock on him ?
    GRA*GRA: mm .
    CHIyyy # yyy .
    GRAoh !

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_Deuchar2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870129eg.chaM 1;7.054,46012132.91

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. mm13 · 100.0%