PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

24.59 per 1,000 words of the child (CHI), in 1 of 1 transcripts (194 utterances, 366 words searched).

  1. there's Budgie . CHI · eng_british_Manchester_II/joel15a.cha, line 170 · Joel 2;03
  2. there's helicopter . CHI · eng_british_Manchester_II/joel15a.cha, line 201 · Joel 2;03
  3. there's a +//. CHI · eng_british_Manchester_II/joel15a.cha, line 209 · Joel 2;03
  4. there . CHI · eng_british_Manchester_II/joel15a.cha, line 603 · Joel 2;03
  5. there's Sam_the_monkey . CHI · eng_british_Manchester_II/joel15a.cha, line 687 · Joel 2;03
  6. there . CHI · eng_british_Manchester_II/joel15a.cha, line 794 · Joel 2;03
  7. there . CHI · eng_british_Manchester_II/joel15a.cha, line 1020 · Joel 2;03
  8. there . CHI · eng_british_Manchester_II/joel15a.cha, line 1030 · Joel 2;03
  9. there . CHI · eng_british_Manchester_II/joel15a.cha, line 1066 · Joel 2;03
  1. INVthat's not very good , is it ?
    INVlet's make a Budgie .
    CHI*CHI: there's Budgie .
    CHIgot xxx .
    MOTyeah .
  2. INVit looks more like an aeroplane , doesn't it ?
    MOTdoes that look like Budgie ?
    CHI*CHI: there's helicopter .
    MOTyeah .
    MOTit's a helicopter .
  3. MOTit's a helicopter .
    INVit's supposed to be an aeroplane .
    CHI*CHI: there's a +//.
    CHIthat's Budgie_helicopter .
    MOTyeah .
  4. MOTcan you find something else ?
    CHIxxx .
    CHI*CHI: there .
    MOTwho's that ?
    CHIpenguin .
  5. INVpop them <on the> [/] on the whatsit [//] green thing .
    INVJoel .
    CHI*CHI: there's Sam_the_monkey .
    INVmonkey .
    INVthere you go .
  6. MOTum .
    MOTwhere's the giraffe and tigers and things .
    CHI*CHI: there .
    MOTwe've still got loads more to put on here , look .
    CHIoh .
  7. CHIfall down .
    MOToh .
    CHI*CHI: there .
    MOTthere .
    MOToh .
  8. CHIMummy .
    CHIxxx .
    CHI*CHI: there .
    MOToh wow .
    MOTthis is a bit of a mean machine , isn't it ?
  9. CHIhave a xxx .
    MOThmm ?
    CHI*CHI: there .
    MOTthere .
    MOTwho's going on top of the bridge ?

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. Joel eng_british_Manchester_II24.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel15a.chaJoel 2;3.253669924.59

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. there9 · 100.0%