PHPCLANCHILDES with regular expressions

5 matches in 3 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,805 words searched).

  1. you have Bam_Bam (a)n(d) there's Pebbles . MEL · eng_USA_Brown/sarah085.cha, line 1542 · Sarah 3;11
  2. Kent [/] # Kent was so funny whe(n) [?] that's Pebbles and Bam_Bam # the Pebbles and Bam_Bam doll # 0of course he didn't know anything m… MOT · eng_USA_Brown/sarah085.cha, line 1553 · Sarah 3;11
  3. … was so funny whe(n) [?] that's Pebbles and Bam_Bam # the Pebbles and Bam_Bam doll # 0of course he didn't know anything more about Pebbles and Bam_… MOT · eng_USA_Brown/sarah085.cha, line 1553 · Sarah 3;11
  4. …_Bam doll # 0of course he didn't know anything more about Pebbles and Bam_Bam than Adam and Eve . MOT · eng_USA_Brown/sarah085.cha, line 1553 · Sarah 3;11
  5. +" you know Pebble and Bam_Bam . MOT · eng_USA_Brown/sarah085.cha, line 1561 · Sarah 3;11
  1. eng_USA_Brown/sarah085.cha, line 1542 · Sarah, 3;11.16
    CHIsee Pebbles .
    MELoh I see .
    MEL*MEL: you have Bam_Bam (a)n(d) there's Pebbles .
    CHIwhere ?
    CHIxxx .
  2. eng_USA_Brown/sarah085.cha, line 1553 · Sarah, 3;11.16
    CHIthey have don('t) know right here .
    CHI<see # see # see # see # see # see> [/] # see .
    MOT*MOT: Kent [/] # Kent was so funny whe(n) [?] that's Pebbles and Bam_Bam # the Pebbles and Bam_Bam doll # 0of course he didn't know anything more about Pebbles and Bam_Bam than Adam and Eve .
    MOTshe'd say # +"/.
    MOT+" you know Pebble and Bam_Bam .
  3. eng_USA_Brown/sarah085.cha, line 1561 · Sarah, 3;11.16
    MOTKent [/] # Kent was so funny whe(n) [?] that's Pebbles and Bam_Bam # the Pebbles and Bam_Bam doll # 0of course he didn't know anything more about Pebbles and Bam_Bam than Adam and Eve .
    MOTshe'd say # +"/.
    MOT*MOT: +" you know Pebble and Bam_Bam .
    MOTthey're on television # the Flintstones .
    MELoh yeah .

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. Sarah eng_USA_Brown2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah085.chaSarah 3;11.161,805352.77

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. bam_bam5 · 100.0%