PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

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

  1. Min [/] like Mina's pencils are they ? GRA · bilingual_eng_Deuchar/870528eg.cha, line 364 · M 1;11
  2. goat # and these are . MOT · bilingual_eng_Deuchar/870528eg.cha, line 557 · M 1;11
  3. what are these ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 561 · M 1;11
  4. what are they called ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 570 · M 1;11
  5. pas # they are grapes aren't they ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 582 · M 1;11
  6. <where [/] where> [<] are you ? GRA · bilingual_eng_Deuchar/870528eg.cha, line 649 · M 1;11
  7. mm # what are these ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 684 · M 1;11
  8. cups # more cups are here # what are these ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 688 · M 1;11
  9. cups # more cups are here # what are these ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 688 · M 1;11
  10. are buckets ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 689 · M 1;11
  11. oh what are those ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 699 · M 1;11
  12. what are their names ? GRA · bilingual_eng_Deuchar/870528eg.cha, line 723 · M 1;11
  13. what are they called ? MOT · bilingual_eng_Deuchar/870528eg.cha, line 724 · M 1;11
  14. <yes in a minute> [<] yes and who are [/] who's giving baby bottle here ? GRA · bilingual_eng_Deuchar/870528eg.cha, line 818 · M 1;11
  1. CHIpencils .
    CHImama .
    GRA*GRA: Min [/] like Mina's pencils are they ?
    CHImummy's .
    GRA<no mummy's> [//] they're more like mummy's pencils aren't they ?
  2. MOTit's a goat .
    CHIgoat .
    MOT*MOT: goat # and these are .
    CHIthese are .
    MOTwhat are these ?
  3. MOTgoat # and these are .
    CHIthese are .
    MOT*MOT: what are these ?
    CHIM .
    MOTmm ?
  4. CHIM .
    MOTM likes that doesn't she ?
    MOT*MOT: what are they called ?
    CHIyyy .
    MOTmm ?
  5. MOTpat ?
    CHIyyy .
    MOT*MOT: pas # they are grapes aren't they ?
    CHIgrapes .
    MOTyes .
  6. CHIyes .
    MOT<what is this> [>] ?
    GRA*GRA: <where [/] where> [<] are you ?
    MOTyes # where is it ?
    CHIyyy .
  7. GRAyes .
    GRARayna's got a hat on hasn't she ?
    MOT*MOT: mm # what are these ?
    CHIcups .
    MOTcups # more cups are here # what are these ?
  8. MOTmm # what are these ?
    CHIcups .
    MOT*MOT: cups # more cups are here # what are these ?
    MOTare buckets ?
    MOTmm ?
  9. CHIcups .
    MOTcups # more cups are here # what are these ?
    MOT*MOT: are buckets ?
    MOTmm ?
    CHIpies .
  10. CHIpaws .
    MOTpaws ?
    MOT*MOT: oh what are those ?
    CHIshoes .
    MOTshoes or # boots perhaps .
  11. CHIyes .
    MOTthose [/] that's daddy's mummy and daddy isn't it ?
    GRA*GRA: what are their names ?
    MOTwhat are they called ?
    CHIgranny and mummy .
  12. MOTthose [/] that's daddy's mummy and daddy isn't it ?
    GRAwhat are their names ?
    MOT*MOT: what are they called ?
    CHIgranny and mummy .
    CHI<granny grandpa> [/] granny grandpa .
  13. CHImilk juice .
    MOTyes I get <my scissors in a> [>] minute .
    GRA*GRA: <yes in a minute> [<] yes and who are [/] who's giving baby bottle here ?
    GRAwho's that ?
    CHIbaby .

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_Deuchar9.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870528eg.chaM 1;11.041,53213149.14

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%