From 8c8f2055493907e2450c5d09b496a5837b3f4592 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mika=20H=C3=A4m=C3=A4l=C3=A4inen?= Date: Mon, 4 Oct 2021 20:09:12 +0300 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bc7bae2..8bf420f 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,7 @@ Possible keyword arguments are n_best=10, dictionary=None, all_candidates=True, - *dictionary* sets a custom dictionary to be used to filter the NMT output (see more in the next section) - *all_candidates*, if False, the method will return only the topmost normalization candidate (this will improve the speed of the method) - *correct_spelling_cache*, used only when checking if a candidate word is correctly spelled. Set this to False if you are testing with multiple *dictionaries*. -- *return_scores*, if True, returns the model's predictions scores for example [['secret', -1.0969021320343018], ['secrete', -4.121032238006592]] +- *return_scores*, if True, returns the model's predictions scores together with the normalization candidates. For example [['secret', -1.0969021320343018], ['secrete', -4.121032238006592]] ## OCR post correction