PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (215 utterances, 892 words searched).

  1. je vais te l'enl(e)ver . MOT · french/lyon_nat35b.cha, line 722 · Nathan 2;07
  2. je vais te l'enlever . 765180_766250 MOT · french/lyon_nat35b.cha, line 725 · Nathan 2;07
  1. MOToui on va .
    MOTattends .
    MOT*MOT: je vais te l'enl(e)ver .
    MOTje vais te l'enlever . 765180_766250
    CHIyyy . 766250_768650
  2. MOTattends .
    MOTje vais te l'enl(e)ver .
    MOT*MOT: je vais te l'enlever . 765180_766250
    CHIyyy . 766250_768650
    MOTallez . 768650_769855

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. Nathan french2.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat35b.chaNathan 2;7.6892222.24

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. te2 · 100.0%