PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (451 utterances, 1,619 words searched).

  1. how many did we [/] we get to ? MOT · eng_british_Manchester_I/becky34a.cha, line 245 · Becky 2;11
  2. you'll get your feet cold . MOT · eng_british_Manchester_I/becky34a.cha, line 1039 · Becky 2;11
  3. and get Pongo and Perdita and put them behind the fence as well . MOT · eng_british_Manchester_I/becky34a.cha, line 1491 · Becky 2;11
  4. he willn't be able to get through the fence . MOT · eng_british_Manchester_I/becky34a.cha, line 1523 · Becky 2;11
  5. but you [/] you don't say snap unless you can get two the same . MOT · eng_british_Manchester_I/becky34a.cha, line 1611 · Becky 2;11
  6. get what ? MOT · eng_british_Manchester_I/becky34a.cha, line 1812 · Becky 2;11
  1. eng_british_Manchester_I/becky34a.cha, line 245 · Becky, 2;11.15
    MOThow many ?
    CHIone .
    MOT*MOT: how many did we [/] we get to ?
    MOTstart again .
    CHIone .
  2. eng_british_Manchester_I/becky34a.cha, line 1039 · Becky, 2;11.15
    MOTno .
    MOTdon't take your socks off .
    MOT*MOT: you'll get your feet cold .
    CHIxxx .
    CHIbecause they're just coming off .
  3. eng_british_Manchester_I/becky34a.cha, line 1491 · Becky, 2;11.15
    MOTthere we are .
    CHIxxx .
    MOT*MOT: and get Pongo and Perdita and put them behind the fence as well .
    CHIxxx .
    CHIwhere's Pongo ?
  4. eng_british_Manchester_I/becky34a.cha, line 1523 · Becky, 2;11.15
    CHIhe's getting me .
    MOToh .
    MOT*MOT: he willn't be able to get through the fence .
    CHIwhy ?
    MOThe's got a fat bottom .
  5. eng_british_Manchester_I/becky34a.cha, line 1611 · Becky, 2;11.15
    CHIwhat [/] what's it called ?
    MOTit's called snap .
    MOT*MOT: but you [/] you don't say snap unless you can get two the same .
    MOTdo you ?
    CHIno .
  6. eng_british_Manchester_I/becky34a.cha, line 1812 · Becky, 2;11.15
    CHInot xxx .
    CHIbut we only get a phones .
    MOT*MOT: get what ?
    MOTthe phones ?
    CHIno .

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. Becky eng_british_Manchester_I3.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34a.chaBecky 2;11.151,619663.71

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. get6 · 100.0%