PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_nat34a.cha change

Searching only french/lyon_nat34a.cha. Search all transcripts instead

5 matches in 5 utterances

3.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (345 utterances, 1,375 words searched).

Concordance Utterances Distribution Matched forms

avec du beurre . 631098_634270 MOT · french/lyon_nat34a.cha, line 566 · Nathan 2;06
avec du beurre pour monsieur Nanou . 634270_638778 MOT · french/lyon_nat34a.cha, line 568 · Nathan 2;06
c'est bon le beurre hein ! 883540_884740 MOT · french/lyon_nat34a.cha, line 726 · Nathan 2;06
c'est bon le beurre hein ? MOT · french/lyon_nat34a.cha, line 743 · Nathan 2;06
c'est pas bon le beurre . 899053_901275 MOT · french/lyon_nat34a.cha, line 750 · Nathan 2;06

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

per 1,000 words

01234

2;052;062;072;08

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_nat34a.cha	Nathan	2;6.13	1,375	5	5	3.64

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