PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

13.62 per 1,000 words of the child (CHI), in 1 of 1 transcripts (219 utterances, 514 words searched).

  1. yes . CHI · eng_british_Manchester_II/liz17a.cha, line 178 · Liz 2;04
  2. yes . CHI · eng_british_Manchester_II/liz17a.cha, line 186 · Liz 2;04
  3. yes I have . CHI · eng_british_Manchester_II/liz17a.cha, line 188 · Liz 2;04
  4. yes . CHI · eng_british_Manchester_II/liz17a.cha, line 202 · Liz 2;04
  5. um yes please . CHI · eng_british_Manchester_II/liz17a.cha, line 524 · Liz 2;04
  6. <yes sir yes sir> [<] . CHI · eng_british_Manchester_II/liz17a.cha, line 947 · Liz 2;04
  7. <yes sir yes sir> [<] . CHI · eng_british_Manchester_II/liz17a.cha, line 947 · Liz 2;04
  1. eng_british_Manchester_II/liz17a.cha, line 178 · Liz, 2;4.24
    CHIflying away .
    INVis he ?
    CHI*CHI: yes .
    CHII went up on there .
    CHII went on [/] on there .
  2. eng_british_Manchester_II/liz17a.cha, line 186 · Liz, 2;4.24
    CHII went on [/] on there .
    INVdid you ?
    CHI*CHI: yes .
    CHIyes I have .
    CHII'm doing jigsaw .
  3. eng_british_Manchester_II/liz17a.cha, line 188 · Liz, 2;4.24
    INVdid you ?
    CHIyes .
    CHI*CHI: yes I have .
    CHII'm doing jigsaw .
    CHInext one grey ?
  4. eng_british_Manchester_II/liz17a.cha, line 202 · Liz, 2;4.24
    CHIum .
    MOTdo you want some help with it , Liz ?
    CHI*CHI: yes .
    MOTright then .
    MOTturn all the pieces so we can see what's on them , eh ?
  5. eng_british_Manchester_II/liz17a.cha, line 524 · Liz, 2;4.24
    INVwhat're you doing behind there ?
    MOTdo you want a nana , Liz ?
    CHI*CHI: um yes please .
    MOTtake your time .
    MOTno not for you .
  6. eng_british_Manchester_II/liz17a.cha, line 947 · Liz, 2;4.24
    CHI<have you any wool> [<] ?
    MOT<yes sir yes sir> [>] .
    CHI*CHI: <yes sir yes sir> [<] .
    MOT<three bags full> [>] .
    CHI<three bags full> [<] .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Liz eng_british_Manchester_II13.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz17a.chaLiz 2;4.245146713.62

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. yes7 · 100.0%