PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. no we've had enough . MOT · bilingual_eng_Deuchar/870402eg.cha, line 381 · M 1;09
  2. <we've> [<] . MOT · bilingual_eng_Deuchar/870402eg.cha, line 508 · M 1;09
  3. we've been through this before . MOT · bilingual_eng_Deuchar/870402eg.cha, line 689 · M 1;09
  4. no put it away we've had enough of that . MOT · bilingual_eng_Deuchar/870402eg.cha, line 898 · M 1;09
  5. we've got something else look that mummy gave you . MOT · bilingual_eng_Deuchar/870402eg.cha, line 1281 · M 1;09
  6. all right let's see if we've got some more pictures # shall we ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1394 · M 1;09
  1. bilingual_eng_Deuchar/870402eg.cha, line 381 · M, 1;9.09
    CHIoh dear !
    MOThmm ?
    MOT*MOT: no we've had enough .
    CHIpicture .
    CHIpicture .
  2. bilingual_eng_Deuchar/870402eg.cha, line 508 · M, 1;9.09
    CHIpicture .
    GRAoh I expect she likes the pictures we look at # perhaps [>] .
    MOT*MOT: <we've> [<] .
    CHIother picture .
    MOTother [>] pictures .
  3. bilingual_eng_Deuchar/870402eg.cha, line 689 · M, 1;9.09
    MOTAngus .
    GRAvery good .
    MOT*MOT: we've been through this before .
    GRAoh you have # yes of course .
    MOTwhat's this ?
  4. bilingual_eng_Deuchar/870402eg.cha, line 898 · M, 1;9.09
    GRAnow she reckons these are puddings .
    MOTwhat's this # hmm ?
    MOT*MOT: no put it away we've had enough of that .
    CHIbook .
    CHIback .
  5. bilingual_eng_Deuchar/870402eg.cha, line 1281 · M, 1;9.09
    GRA<yellow genuine> [<] and pink teddy .
    CHIniña .
    MOT*MOT: we've got something else look that mummy gave you .
    GRAouh # what was that ?
    GRAwhat are those ?
  6. bilingual_eng_Deuchar/870402eg.cha, line 1394 · M, 1;9.09
    GRAgot a hat hasn't it and a scarf .
    CHIscarf .
    MOT*MOT: all right let's see if we've got some more pictures # shall we ?
    CHImore pictures .
    GRA0.

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_Deuchar2.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870402eg.chaM 1;9.092,657662.26

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. we've6 · 100.0%