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_nat08a.cha change

Searching only french/lyon_nat08a.cha. Search all transcripts instead

4 matches in 4 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (450 utterances, 1,602 words searched).

Concordance Utterances Distribution Matched forms

ouh c'est trop salé ! 686355_693683 MOT · french/lyon_nat08a.cha, line 688 · Nathan 1;04
j'ai pas trop envie [= ! chuchote] . 849010_865657 MOT · french/lyon_nat08a.cha, line 857 · Nathan 1;04
trop vieux hein ? 998013_998907 MOT · french/lyon_nat08a.cha, line 933 · Nathan 1;04
ah elle est trop lourde celle là . 1091580_1105103 MOT · french/lyon_nat08a.cha, line 998 · Nathan 1;04

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

per 1,000 words

0123

1;031;041;051;06

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_nat08a.cha	Nathan	1;4.9	1,602	4	4	2.50

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