PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (595 utterances, 1,830 words searched).

  1. let's have a go . INV · eng_british_Manchester_I/becky18a.cha, line 299 · Becky 2;06
  2. let's put them back in the box then . MOT · eng_british_Manchester_I/becky18a.cha, line 762 · Becky 2;06
  3. let's put this on . MOT · eng_british_Manchester_I/becky18a.cha, line 800 · Becky 2;06
  4. let's . INV · eng_british_Manchester_I/becky18a.cha, line 1579 · Becky 2;06
  5. let's find you a nice red mouth . MOT · eng_british_Manchester_I/becky18a.cha, line 1863 · Becky 2;06
  6. let's use these now . MOT · eng_british_Manchester_I/becky18a.cha, line 1952 · Becky 2;06
  1. eng_british_Manchester_I/becky18a.cha, line 299 · Becky, 2;6.05
    MOTxxx [<] .
    INVwell .
    INV*INV: let's have a go .
    CHIthat's alright .
    CHIthat's for a crocodile .
  2. eng_british_Manchester_I/becky18a.cha, line 762 · Becky, 2;6.05
    CHIgo in there ?
    CHIxxx .
    MOT*MOT: let's put them back in the box then .
    CHIoh .
    CHIthey going back in the box .
  3. eng_british_Manchester_I/becky18a.cha, line 800 · Becky, 2;6.05
    CHIxxx .
    MOTcome on then .
    MOT*MOT: let's put this on .
    MOTput this on a minute .
    CHIxxx .
  4. eng_british_Manchester_I/becky18a.cha, line 1579 · Becky, 2;6.05
    CHI<shall we> [/] shall we +/.
    INVyes .
    INV*INV: let's .
    CHI<did you do> [/] did you do this eyes ?
    MOTcome on then .
  5. eng_british_Manchester_I/becky18a.cha, line 1863 · Becky, 2;6.05
    CHIyeah .
    CHIyes .
    MOT*MOT: let's find you a nice red mouth .
    CHII don't need red mouth .
    MOTdon't want a red mouth ?
  6. eng_british_Manchester_I/becky18a.cha, line 1952 · Becky, 2;6.05
    CHIthis 0is [*] the eyes .
    MOTcome on .
    MOT*MOT: let's use these now .
    CHIxxx .
    MOTand we need some of the little blue circles for middles .

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_I3.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky18a.chaBecky 2;6.051,830663.28

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. let's6 · 100.0%