PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (601 utterances, 2,412 words searched).

  1. mon bonhomme après . 1615747_1619075 POL · french/york_mona026.cha, line 1680 · Max 2;09
  2. mon bonhomme , regarde , xxx . 1660748_1668663 POL · french/york_mona026.cha, line 1714 · Max 2;09
  3. moi , j(e) avais mon cow+boy , mais là +... 1673928_1679488 CAT · french/york_mona026.cha, line 1725 · Max 2;09
  4. mon cow+boy va prendre ton shérif . 1680372_1684626 CAT · french/york_mona026.cha, line 1731 · Max 2;09
  5. mon paresseux . 1854857_1857004 CAT · french/york_mona026.cha, line 1895 · Max 2;09
  1. french/york_mona026.cha, line 1680 · Max, 2;9.12
    CATtu peux tirer , maintenant . 1610734_1612588
    CHIokay . 1612588_1615747
    POL*POL: mon bonhomme après . 1615747_1619075
    CATc(e) est +/. 1619075_1619959
    POLcomme ça . 1619959_1621728
  2. french/york_mona026.cha, line 1714 · Max, 2;9.12
    POLxxx . 1650934_1657168
    CATbon . 1657168_1660748
    POL*POL: mon bonhomme , regarde , xxx . 1660748_1668663
    CATPol ? 1668663_1669042
    POLouais ? 1669042_1670263
  3. french/york_mona026.cha, line 1725 · Max, 2;9.12
    CATchut . 1670263_1673169
    CATokay „ toi , t(u) avais le shérif , toi ? 1673169_1673928
    CAT*CAT: moi , j(e) avais mon cow+boy , mais là +... 1673928_1679488
    CATah il est ici . 1679488_1680372
    CATmon cow+boy va prendre ton shérif . 1680372_1684626
  4. french/york_mona026.cha, line 1731 · Max, 2;9.12
    CATmoi , j(e) avais mon cow+boy , mais là +... 1673928_1679488
    CATah il est ici . 1679488_1680372
    CAT*CAT: mon cow+boy va prendre ton shérif . 1680372_1684626
    POLregarde , Catherine ! 1684626_1688965
    CATquoi ? 1688965_1689638
  5. french/york_mona026.cha, line 1895 · Max, 2;9.12
    CHImoi , 0je 0ne veux pas ranger . 1849130_1853214
    CATtoi , tu 0ne veux pas ranger ? 1853214_1854857
    CAT*CAT: mon paresseux . 1854857_1857004
    CATokay . 1857004_1862355
    CATje range ça ici ? 1862355_1862944

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. Max french2.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/york_mona026.chaMax 2;9.122,412552.07

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. mon5 · 100.0%