PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 2,657 words searched).

  1. what are these ### that's right . GRA · bilingual_eng_Deuchar/870402eg.cha, line 101 · M 1;09
  2. what are these Ma +... GRA · bilingual_eng_Deuchar/870402eg.cha, line 302 · M 1;09
  3. what are these lovely things # is that an orange M # orange and a tomato . GRA · bilingual_eng_Deuchar/870402eg.cha, line 304 · M 1;09
  4. <you mean these> [<] . MOT · bilingual_eng_Deuchar/870402eg.cha, line 556 · M 1;09
  5. now she reckons these are puddings . GRA · bilingual_eng_Deuchar/870402eg.cha, line 895 · M 1;09
  6. no # <look at these> [>] . MOT · bilingual_eng_Deuchar/870402eg.cha, line 960 · M 1;09
  7. <we are going to look at these> [<] . GRA · bilingual_eng_Deuchar/870402eg.cha, line 961 · M 1;09
  8. papa # now # is there a mama # among these ? GRA · bilingual_eng_Deuchar/870402eg.cha, line 1016 · M 1;09
  9. what <are these clothes> [<] mama has on # is quite difficult to see if it's a mama o… GRA · bilingual_eng_Deuchar/870402eg.cha, line 1031 · M 1;09
  1. bilingual_eng_Deuchar/870402eg.cha, line 101 · M, 1;9.09
    CHIball .
    MOTmm .
    GRA*GRA: what are these ### that's right .
    CHImamá .
    GRAmm [>] # one for mama one for granny .
  2. bilingual_eng_Deuchar/870402eg.cha, line 302 · M, 1;9.09
    MOTyes # just [//] mummy's going to see Helen a minute # and then I come back # all right ?
    GRAshow it to granny .
    GRA*GRA: what are these Ma +...
    MOTI'll see you with granny in a minute .
    GRAwhat are these lovely things # is that an orange M # orange and a tomato .
  3. bilingual_eng_Deuchar/870402eg.cha, line 304 · M, 1;9.09
    GRAwhat are these Ma +...
    MOTI'll see you with granny in a minute .
    GRA*GRA: what are these lovely things # is that an orange M # orange and a tomato .
    CHIyyy .
    GRAhmm ?
  4. bilingual_eng_Deuchar/870402eg.cha, line 556 · M, 1;9.09
    CHIotra picture .
    GRA<the ones that xxx> [>] .
    MOT*MOT: <you mean these> [<] .
    GRAoh I thought she meant the ones you mount .
    CHIbook .
  5. bilingual_eng_Deuchar/870402eg.cha, line 895 · M, 1;9.09
    GRAoh another smiling girl .
    CHIyyy .
    GRA*GRA: now she reckons these are puddings .
    MOTwhat's this # hmm ?
    MOTno put it away we've had enough of that .
  6. bilingual_eng_Deuchar/870402eg.cha, line 960 · M, 1;9.09
    GRA0.
    CHIbook .
    MOT*MOT: no # <look at these> [>] .
    GRA<we are going to look at these> [<] .
    CHIbook .
  7. bilingual_eng_Deuchar/870402eg.cha, line 961 · M, 1;9.09
    CHIbook .
    MOTno # <look at these> [>] .
    GRA*GRA: <we are going to look at these> [<] .
    CHIbook .
    GRAall this people I've forgotten all about them .
  8. bilingual_eng_Deuchar/870402eg.cha, line 1016 · M, 1;9.09
    GRAthat's right [>] .
    CHIpapa [<] .
    GRA*GRA: papa # now # is there a mama # among these ?
    CHImamá .
    GRAand a dog .
  9. bilingual_eng_Deuchar/870402eg.cha, line 1031 · M, 1;9.09
    CHImama .
    CHImama [>] .
    GRA*GRA: what <are these clothes> [<] mama has on # is quite difficult to see if it's a mama or not a # there we are with mama with papa # and yes # dog .
    CHIwoof .
    CHIdog .

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_Deuchar3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870402eg.chaM 1;9.092,657993.39

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. these9 · 100.0%