From 4f9b0ef495ffb438da52866ddbf2bd08eb69f0e5 Mon Sep 17 00:00:00 2001 From: Al Date: Fri, 7 Apr 2017 00:55:39 -0400 Subject: [PATCH] [docs][ci skip] adding note about using libpostal on mobile --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 35a4d164..af9d0108 100644 --- a/README.md +++ b/README.md @@ -558,8 +558,8 @@ needed to construct the training data. where we may be limited to < 1GB of RAM per process depending on the machine configuration. As much as possible libpostal uses contiguous arrays, tries (built on contiguous arrays), bloom filters and compressed sparse matrices to -keep memory usage low. It's conceivable that libpostal could even be used on -a mobile device, although that's not an explicit goal of the project. +keep memory usage low. It's possible to use libpostal on a mobile device with +models trained on a single country or a handful of countries. 3. **Performance**: this is last on the list for a reason. Most of the optimizations in libpostal are for memory usage rather than performance.