PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (676 utterances, 2,839 words searched).

  1. you're gonna [: going to] eat your cheese ,, are you ? MOT · eng_british_Manchester_I/anne28a.cha, line 509 · Anne 2;07
  2. are you gonna [: going to] eat it or just play with it ? MOT · eng_british_Manchester_I/anne28a.cha, line 535 · Anne 2;07
  3. gonna [: going to] eat the meat ,, are you ? MOT · eng_british_Manchester_I/anne28a.cha, line 540 · Anne 2;07
  4. if you're gonna [: going to] eat it you can have it but I don't want +//. MOT · eng_british_Manchester_I/anne28a.cha, line 1599 · Anne 2;07
  5. what're we gonna [: going to] tell them ? MOT · eng_british_Manchester_I/anne28a.cha, line 1725 · Anne 2;07
  6. what're we gonna [: going to] tell them ? MOT · eng_british_Manchester_I/anne28a.cha, line 1727 · Anne 2;07
  1. MOToh .
    CHIeat cheese .
    MOT*MOT: you're gonna [: going to] eat your cheese ,, are you ?
    MOTor your sandwich ?
    MOToh .
  2. CHIcan stick that on again ?
    MOTyeah .
    MOT*MOT: are you gonna [: going to] eat it or just play with it ?
    MOThmm ?
    MOTgonna [: going to] eat the meat ,, are you ?
  3. MOTare you gonna [: going to] eat it or just play with it ?
    MOThmm ?
    MOT*MOT: gonna [: going to] eat the meat ,, are you ?
    MOTpulling it apart ,, aren't you ?
    MOToh look .
  4. MOT<I think> [/] I think we'll put that away .
    MOTbecause I don't +//.
    MOT*MOT: if you're gonna [: going to] eat it you can have it but I don't want +//.
    MOTalright .
    MOTlet's see you bite it .
  5. MOTshe's got my hat on ?
    MOToh .
    MOT*MOT: what're we gonna [: going to] tell them ?
    MOTwhat're we gonna [: going to] tell them ?
    CHIdon't get your [/] your hats .
  6. MOToh .
    MOTwhat're we gonna [: going to] tell them ?
    MOT*MOT: what're we gonna [: going to] tell them ?
    CHIdon't get your [/] your hats .
    CHIyou two have your hats .

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. Anne eng_british_Manchester_I2.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne28a.chaAnne 2;7.152,839662.11

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. gonna6 · 100.0%