PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_nat35b.cha change

Searching only french/lyon_nat35b.cha. Search all transcripts instead

5 matches in 5 utterances

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

Concordance Utterances Distribution Matched forms

on va jouer où Nat ? 408988_414677 MOT · french/lyon_nat35b.cha, line 297 · Nathan 2;07
Nat ? MOT · french/lyon_nat35b.cha, line 307 · Nathan 2;07
Nat ? 526630_528018 MOT · french/lyon_nat35b.cha, line 427 · Nathan 2;07
bonjour Nat ! 690793_696740 FAT · french/lyon_nat35b.cha, line 618 · Nathan 2;07
Nat ! 999250_1011542 MOT · french/lyon_nat35b.cha, line 936 · Nathan 2;07

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0246

2;062;072;082;09

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/lyon_nat35b.cha	Nathan	2;7.6	892	5	5	5.61

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.