PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (362 utterances, 1,056 words searched).

  1. si tu m'aides comme ça on va y arriver . MOT · french/lyon_ana04b.cha, line 422 · Anais 1;01
  2. voilà , on va y arriver . 787517_790330 RYM · french/lyon_ana04b.cha, line 733 · Anais 1;01
  1. french/lyon_ana04b.cha, line 422 · Anais, 1;1.27
    MOTqu'est ce qu'on fait on répare ou pas ? 422872_424460
    MOTbon tu +//. 424470_431205
    MOT*MOT: si tu m'aides comme ça on va y arriver .
    MOTvoilà . 431205_434340
    MOTtiens !
  2. french/lyon_ana04b.cha, line 733 · Anais, 1;1.27
    RYMattends [/] <(...) attends> [/] www [= ! murmuré] !
    RYMmh . 783517_786330
    RYM*RYM: voilà , on va y arriver . 787517_790330
    RYMtiens ! 790343_795540
    RYMwww [= ! rigole] .

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. Anais french1.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana04b.chaAnais 1;1.271,056221.89

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. arriver2 · 100.0%