PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (297 utterances, 1,174 words searched).

  1. …ck in time for Don to go to # school tell Don has tell # xxx tell Don is ya can't get xxx to go to school . MOT · eng_USA_Brown/sarah046.cha, line 141 · Sarah 3;01
  2. oh this is Sandra . GLO · eng_USA_Brown/sarah046.cha, line 165 · Sarah 3;01
  3. who is that ? GLO · eng_USA_Brown/sarah046.cha, line 626 · Sarah 3;01
  4. what is that ? GLO · eng_USA_Brown/sarah046.cha, line 902 · Sarah 3;01
  5. well # whose [/] # whose dress is that ? MOT · eng_USA_Brown/sarah046.cha, line 1021 · Sarah 3;01
  6. see this is her picture . SAN · eng_USA_Brown/sarah046.cha, line 1074 · Sarah 3;01
  7. that one is # but the other one isn't . MOT · eng_USA_Brown/sarah046.cha, line 1159 · Sarah 3;01
  1. MOTwhat's a matter with that ?
    CHIxxx .
    MOT*MOT: back in time for Don to go to # school tell Don has tell # xxx tell Don is ya can't get xxx to go to school .
    MOTunless she has on Darkids .
    MOTnow sit here and I'll give you lunch .
  2. GLOwhat's your name ?
    MOTSandra .
    GLO*GLO: oh this is Sandra .
    GLOhi # Sandra # I've heard about you .
    GLOam I in your way ?
  3. CHIlook it .
    CHIyyy .
    GLO*GLO: who is that ?
    CHITickles .
    SANTickles .
  4. SANnot (un)till next year .
    MOTnex(t) year .
    GLO*GLO: what is that ?
    MOTuh # the doll's .
    GLOoh +...
  5. MOThuh ?
    CHIah yyy .
    MOT*MOT: well # whose [/] # whose dress is that ?
    MOTwhat's her name ?
    CHIBlondie .
  6. MOTsee .
    CHInow yyy +...
    SAN*SAN: see this is her picture .
    SANsee ?
    CHI(a)n(d) she got a pretty dressh [: dress] .
  7. SANthat isn't no doll .
    MOTthat's no doll .
    MOT*MOT: that one is # but the other one isn't .
    SANit's just plain [/] # plain cardboard .
    CHIthis one is .

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_Brown5.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah046.chaSarah 3;1.241,174775.96

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. is7 · 100.0%