PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

8.34 per 1,000 words of the child (CHI), in 1 of 1 transcripts (393 utterances, 1,079 words searched).

  1. here we are . CHI · eng_british_Manchester_I/becky32b.cha, line 144 · Becky 2;11
  2. here we are . CHI · eng_british_Manchester_I/becky32b.cha, line 146 · Becky 2;11
  3. this here . CHI · eng_british_Manchester_I/becky32b.cha, line 325 · Becky 2;11
  4. this has to stay in here . CHI · eng_british_Manchester_I/becky32b.cha, line 489 · Becky 2;11
  5. here she is . CHI · eng_british_Manchester_I/becky32b.cha, line 559 · Becky 2;11
  6. here . CHI · eng_british_Manchester_I/becky32b.cha, line 1055 · Becky 2;11
  7. here you are . CHI · eng_british_Manchester_I/becky32b.cha, line 1291 · Becky 2;11
  8. here you are . CHI · eng_british_Manchester_I/becky32b.cha, line 1293 · Becky 2;11
  9. just wipe it on here . CHI · eng_british_Manchester_I/becky32b.cha, line 1553 · Becky 2;11
  1. MOTthink I'll leave the goose sitting down , Becky .
    CHIwhere ?
    CHI*CHI: here we are .
    CHIhere we are .
    CHIhe's fallen over .
  2. CHIwhere ?
    CHIhere we are .
    CHI*CHI: here we are .
    CHIhe's fallen over .
    MOTlet me have a look at him .
  3. MOTwhich one is it ?
    MOTthis one ?
    CHI*CHI: this here .
    INVwww .
    CHIonly one .
  4. MOTyou wash them .
    CHIthis is a wash there .
    CHI*CHI: this has to stay in here .
    CHIwhy ?
    CHIthey 0are [*] dry now .
  5. MOTno .
    MOTthink you're right , Becky .
    CHI*CHI: here she is .
    MOTthank you .
    MOTwhat [/] what does she want to wear then ?
  6. CHII need this one .
    MOTuhhum .
    CHI*CHI: here .
    CHIdoesn't go .
    MOToh .
  7. CHIand I xxx .
    CHIxxx .
    CHI*CHI: here you are .
    CHIhere you are .
    MOTwhat're you doing ?
  8. CHIxxx .
    CHIhere you are .
    CHI*CHI: here you are .
    MOTwhat're you doing ?
    MOTwhere're you going , Becky ?
  9. CHIlet's have a look .
    CHIlet's have a look , Mum .
    CHI*CHI: just wipe it on here .
    MOTdon't put that in your eye .
    CHIjust put your wipe .

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. Becky eng_british_Manchester_I8.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32b.chaBecky 2;11.011,079998.34

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. here9 · 100.0%