PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.28 per 1,000 words of the child (CHI), in 1 of 1 transcripts (651 utterances, 2,190 words searched).

  1. New_Brunswick . CHI · eng_USA_Brown/eve19.cha, line 1428 · Eve 2;03
  2. <it way up> [//] where is New_Brunswick ? CHI · eng_USA_Brown/eve19.cha, line 1438 · Eve 2;03
  3. and # we will go drive to New_Brunswick and +... CHI · eng_USA_Brown/eve19.cha, line 1486 · Eve 2;03
  4. Canada which inside New_Brunswick . CHI · eng_USA_Brown/eve19.cha, line 1491 · Eve 2;03
  5. where New_Brunswick ? CHI · eng_USA_Brown/eve19.cha, line 1660 · Eve 2;03
  1. eng_USA_Brown/eve19.cha, line 1428 · Eve, 2;3.
    MOThe got a new house for us # we're going to move in .
    MOTwhere is our new house ?
    CHI*CHI: New_Brunswick .
    MOTNew_Brunswick .
    MOTright .
  2. eng_USA_Brown/eve19.cha, line 1438 · Eve, 2;3.
    MOTNew_Brunswick .
    MOTright .
    CHI*CHI: <it way up> [//] where is New_Brunswick ?
    MOTNew_Brunswick is way up in Canada .
    CHIthere ?
  3. eng_USA_Brown/eve19.cha, line 1486 · Eve, 2;3.
    MOTCanada +...
    MOTwe get in our car and we drive out of Massachusetts and we drive up through Maine and go in our new house .
    CHI*CHI: and # we will go drive to New_Brunswick and +...
    CHICanada which inside New_Brunswick .
    MOTNew_Brunswick's inside of Canada .
  4. eng_USA_Brown/eve19.cha, line 1491 · Eve, 2;3.
    MOTwe get in our car and we drive out of Massachusetts and we drive up through Maine and go in our new house .
    CHIand # we will go drive to New_Brunswick and +...
    CHI*CHI: Canada which inside New_Brunswick .
    MOTNew_Brunswick's inside of Canada .
    MOTit's all very confusing # I must say .
  5. eng_USA_Brown/eve19.cha, line 1660 · Eve, 2;3.
    CHIhi .
    COLhi .
    CHI*CHI: where New_Brunswick ?
    COLit's in Canada .
    COLit's far away and you go by car .

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. Eve eng_USA_Brown2.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve19.chaEve 2;3.2,190552.28

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. new_brunswick5 · 100.0%