PHPCLANCHILDES with regular expressions

9 matches in 7 utterances

6.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,304 words searched).

  1. I thought she was sayin(g) the doll was Donna's . MOT · eng_USA_Brown/sarah048.cha, line 886 · Sarah 3;02
  2. she named the doll Donna . MOT · eng_USA_Brown/sarah048.cha, line 892 · Sarah 3;02
  3. she kept <&in> [//] I'm going to give this ta Donna # this is Donna . MOT · eng_USA_Brown/sarah048.cha, line 894 · Sarah 3;02
  4. she kept <&in> [//] I'm going to give this ta Donna # this is Donna . MOT · eng_USA_Brown/sarah048.cha, line 894 · Sarah 3;02
  5. no # this is Donna and I thought she was sayin(g) she was givin(g) it to Donna . MOT · eng_USA_Brown/sarah048.cha, line 897 · Sarah 3;02
  6. …# this is Donna and I thought she was sayin(g) she was givin(g) it to Donna . MOT · eng_USA_Brown/sarah048.cha, line 897 · Sarah 3;02
  7. I'm sayin(g) it isn't Donna # xxx . MOT · eng_USA_Brown/sarah048.cha, line 901 · Sarah 3;02
  8. ah # this is Donna . MOT · eng_USA_Brown/sarah048.cha, line 905 · Sarah 3;02
  9. what else are you giving Donna to eat ? GLO · eng_USA_Brown/sarah048.cha, line 1230 · Sarah 3;02
  1. GLOwhat was the argument about # Sarah ?
    MOTI misunderstood her .
    MOT*MOT: I thought she was sayin(g) the doll was Donna's .
    MOTthat's my cousin # but she didn't .
    MOTshe named the doll Donna .
  2. MOTI thought she was sayin(g) the doll was Donna's .
    MOTthat's my cousin # but she didn't .
    MOT*MOT: she named the doll Donna .
    MOTshe kept <&in> [//] I'm going to give this ta Donna # this is Donna .
    MOTno # this is Donna and I thought she was sayin(g) she was givin(g) it to Donna .
  3. MOTthat's my cousin # but she didn't .
    MOTshe named the doll Donna .
    MOT*MOT: she kept <&in> [//] I'm going to give this ta Donna # this is Donna .
    MOTno # this is Donna and I thought she was sayin(g) she was givin(g) it to Donna .
    MOTI'm sayin(g) it isn't Donna # xxx .
  4. MOTshe named the doll Donna .
    MOTshe kept <&in> [//] I'm going to give this ta Donna # this is Donna .
    MOT*MOT: no # this is Donna and I thought she was sayin(g) she was givin(g) it to Donna .
    MOTI'm sayin(g) it isn't Donna # xxx .
    MOTah # this is Donna .
  5. MOTshe kept <&in> [//] I'm going to give this ta Donna # this is Donna .
    MOTno # this is Donna and I thought she was sayin(g) she was givin(g) it to Donna .
    MOT*MOT: I'm sayin(g) it isn't Donna # xxx .
    MOTah # this is Donna .
    MOTyeah about half an hour .
  6. MOTno # this is Donna and I thought she was sayin(g) she was givin(g) it to Donna .
    MOTI'm sayin(g) it isn't Donna # xxx .
    MOT*MOT: ah # this is Donna .
    MOTyeah about half an hour .
    CHIthis is Donna .
  7. CHIyeah .
    GLOwhat else are you giving your doll to eat ?
    GLO*GLO: what else are you giving Donna to eat ?
    CHI0 [=! makes random, wandering noises] .
    GLOshe's hungry too # isn't she ?

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. Sarah eng_USA_Brown6.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah048.chaSarah 3;2.101,304796.90

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. donna9 · 100.0%