PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (520 utterances, 1,942 words searched).

  1. what about these books ? INV · eng_british_Manchester_II/nic18b.cha, line 719 · Nicole 2;06
  2. you were gonna [: going to] do these books but I made you do the wug tests . INV · eng_british_Manchester_II/nic18b.cha, line 723 · Nicole 2;06
  3. you're getting very clever at reading these little books , aren't you ? MOT · eng_british_Manchester_II/nic18b.cha, line 1050 · Nicole 2;06
  4. it's going to take you ages to <pick all> [/] pick all these things up , Nicole . MOT · eng_british_Manchester_II/nic18b.cha, line 1369 · Nicole 2;06
  5. are we going to tidy all these things up then that are Caroline's ? MOT · eng_british_Manchester_II/nic18b.cha, line 1780 · Nicole 2;06
  1. eng_british_Manchester_II/nic18b.cha, line 719 · Nicole, 2;6.23
    MOTcome on then .
    MOTcome round .
    INV*INV: what about these books ?
    CHIno .
    INVyou were gonna [: going to] do these books but I made you do the wug tests .
  2. eng_british_Manchester_II/nic18b.cha, line 723 · Nicole, 2;6.23
    INVwhat about these books ?
    CHIno .
    INV*INV: you were gonna [: going to] do these books but I made you do the wug tests .
    MOTare you going to read Caroline your books ?
    CHIno .
  3. eng_british_Manchester_II/nic18b.cha, line 1050 · Nicole, 2;6.23
    CHIno .
    CHIno .
    MOT*MOT: you're getting very clever at reading these little books , aren't you ?
    CHIno no no .
    CHIno way .
  4. eng_british_Manchester_II/nic18b.cha, line 1369 · Nicole, 2;6.23
    CHIgone .
    MOTgone .
    MOT*MOT: it's going to take you ages to <pick all> [/] pick all these things up , Nicole .
    MOTthat's goose .
    CHIthere .
  5. eng_british_Manchester_II/nic18b.cha, line 1780 · Nicole, 2;6.23
    MOToh dear me .
    CHIoh no no no .
    MOT*MOT: are we going to tidy all these things up then that are Caroline's ?
    MOTare you going to put them all away ?
    CHIno no .

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. Nicole eng_british_Manchester_II2.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic18b.chaNicole 2;6.231,942552.57

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. these5 · 100.0%