PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 1,022 words searched).

  1. j(e) vais mettre ça là parce que je te voie plus là ma puce . 408458_411870 GER · french/lyon_ana08a.cha, line 158 · Anais 1;04
  2. bon il faut que je t'aide ? MOT · french/lyon_ana08a.cha, line 795 · Anais 1;04
  3. comment tu veux que je t(e) l(e) lance si tu me montres ton dos ? 1361630_1366543 MOT · french/lyon_ana08a.cha, line 836 · Anais 1;04
  1. GERla chaise ?
    GERattends .
    GER*GER: j(e) vais mettre ça là parce que je te voie plus là ma puce . 408458_411870
    GERvoilà . 411870_414263
    GERla chaise tu veux ?
  2. MOTça te dérange pas [= ! rit] ?
    MOTmerci Ana . 1241043_1252517
    MOT*MOT: bon il faut que je t'aide ?
    MOTtu veux le mettre ?
    MOTon l(e) met ?
  3. MOToh mais il est parti l(e) ballon ! 1342662_1350735
    MOTmerci ! 1350735_1361630
    MOT*MOT: comment tu veux que je t(e) l(e) lance si tu me montres ton dos ? 1361630_1366543
    MOTtiens [= ! rit] . 1366543_1369823
    CHIyyy . 1369823_1382157

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 french2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana08a.chaAnais 1;4.11,022332.94

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. je3 · 100.0%