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

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_mar12a.cha change

Searching only french/lyon_mar12a.cha. Search all transcripts instead

5 matches in 5 utterances

3.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (330 utterances, 1,299 words searched).

Concordance Utterances Distribution Matched forms

c'est bon ? MOT · french/lyon_mar12a.cha, line 145 · Marie 1;07
bon ! MOT · french/lyon_mar12a.cha, line 151 · Marie 1;07
bon ben moi j'ai pas d(e) vert là hein . 662657_668005 MOT · french/lyon_mar12a.cha, line 794 · Marie 1;07
ah bon ? MOT · french/lyon_mar12a.cha, line 812 · Marie 1;07
ah bon ? 696902_698203 MOT · french/lyon_mar12a.cha, line 837 · Marie 1;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

012345

1;061;071;081;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_mar12a.cha	Marie	1;7.26	1,299	5	5	3.85

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