PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

2.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (670 utterances, 3,241 words searched).

  1. what's the next picture we need ? MOT · eng_british_Manchester_I/aran23a.cha, line 306 · Aran 2;07
  2. we don't need that one next . MOT · eng_british_Manchester_I/aran23a.cha, line 312 · Aran 2;07
  3. I think you need [/] need glasses if you can't see that boiled egg . MOT · eng_british_Manchester_I/aran23a.cha, line 509 · Aran 2;07
  4. I think you need [/] need glasses if you can't see that boiled egg . MOT · eng_british_Manchester_I/aran23a.cha, line 509 · Aran 2;07
  5. what do we need next ? MOT · eng_british_Manchester_I/aran23a.cha, line 804 · Aran 2;07
  6. now what do we need next ? MOT · eng_british_Manchester_I/aran23a.cha, line 1634 · Aran 2;07
  7. oh we need the queen next . MOT · eng_british_Manchester_I/aran23a.cha, line 1636 · Aran 2;07
  1. MOTwhat's the next one ?
    MOTyou look at the instructions and find d@l for what ?
    MOT*MOT: what's the next picture we need ?
    CHIorange .
    MOTno .
  2. CHIorange .
    MOTno .
    MOT*MOT: we don't need that one next .
    MOTthat wasn't so good ,, was it ?
    CHIwhat [/] what you need ?
  3. CHIthere .
    CHIthere .
    MOT*MOT: I think you need [/] need glasses if you can't see that boiled egg .
    MOToh I'm going to find it then .
    MOTit's got toast with it .
  4. MOTit fits ,, doesn't it ?
    MOTwell done .
    MOT*MOT: what do we need next ?
    MOTg@l for goat .
    MOTh@l for +//.
  5. MOTthat's it .
    MOTwell done .
    MOT*MOT: now what do we need next ?
    MOToh we need the queen next .
    MOTfind me the queen .
  6. MOTwell done .
    MOTnow what do we need next ?
    MOT*MOT: oh we need the queen next .
    MOTfind me the queen .
    CHIoh .

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. Aran eng_british_Manchester_I2.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran23a.chaAran 2;7.073,241672.16

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. need7 · 100.0%