demo clarification

author: Yigit Sever 2019-09-26 17:20:28 +0300
committer: Yigit Sever 2019-09-26 17:20:28 +0300
commit: 9e62cf0f8d7d6016df505234aa6e062c5da54443 (patch)
tree: 9c0da61061c0dbc97020cb46b6b12e52de7c3edd
parent: 5f30965f966aa76881d212e30115700a10a5154e (diff)
download: Evaluating-Dictionary-Alignment-9e62cf0f8d7d6016df505234aa6e062c5da54443.tar.gz
Evaluating-Dictionary-Alignment-9e62cf0f8d7d6016df505234aa6e062c5da54443.tar.bz2
Evaluating-Dictionary-Alignment-9e62cf0f8d7d6016df505234aa6e062c5da54443.zip
2 files changed, 2 insertions, 2 deletions
diff --git a/README.md b/README.md
index 338c51d..40909f5 100644
--- a/README.md
+++ b/README.md
@@ -113,7 +113,7 @@ Bear in mind that this will require around 50 GB free space. The mapped embeddin
 ## Quick Demo
-`demo.sh` is included, downloads data for 2 languages.
+`demo.sh` is included, downloads data for 2 languages and runs WMD (Word Mover's Distance) and SNK (Sinkhorn Distance) methods in matching and retrieval paradigms.
 ```bash
 ./demo.sh
diff --git a/demo.sh b/demo.sh
index d8b0b37..1eb1f64 100755
--- a/demo.sh
+++ b/demo.sh
@@ -95,4 +95,4 @@ python "${ROOT}/vecmap/map_embeddings.py" --supervised \
    "${MAP_TO}/${source_lang}_to_${target_lang}.vec" \
    "${MAP_TO}/${target_lang}_to_${source_lang}.vec" > /dev/null 2>&1
-python "${ROOT}/WMD_matching.py" "${source_lang}" "${target_lang}" "${MAP_TO}/${source_lang}_to_${target_lang}.vec" "${MAP_TO}/${target_lang}_to_${source_lang}.vec" "${READY}/${source_lang}_to_${target_lang}.def" "${READY}/${target_lang}_to_${source_lang}.def" all
+python "${ROOT}/WMD.py" "${source_lang}" "${target_lang}" "${MAP_TO}/${source_lang}_to_${target_lang}.vec" "${MAP_TO}/${target_lang}_to_${source_lang}.vec" "${READY}/${source_lang}_to_${target_lang}.def" "${READY}/${target_lang}_to_${source_lang}.def" all all
author	Yigit Sever	2019-09-26 17:20:28 +0300
committer	Yigit Sever	2019-09-26 17:20:28 +0300
commit	9e62cf0f8d7d6016df505234aa6e062c5da54443 (patch)
tree	9c0da61061c0dbc97020cb46b6b12e52de7c3edd
parent	5f30965f966aa76881d212e30115700a10a5154e (diff)
download	Evaluating-Dictionary-Alignment-9e62cf0f8d7d6016df505234aa6e062c5da54443.tar.gz Evaluating-Dictionary-Alignment-9e62cf0f8d7d6016df505234aa6e062c5da54443.tar.bz2 Evaluating-Dictionary-Alignment-9e62cf0f8d7d6016df505234aa6e062c5da54443.zip

diff --git a/README.md b/README.md index 338c51d..40909f5 100644 --- a/README.md +++ b/README.md
@@ -113,7 +113,7 @@ Bear in mind that this will require around 50 GB free space. The mapped embeddin
113		113
114	## Quick Demo	114	## Quick Demo
115		115
116	`demo.sh` is included, downloads data for 2 languages.	116	`demo.sh` is included, downloads data for 2 languages and runs WMD (Word Mover's Distance) and SNK (Sinkhorn Distance) methods in matching and retrieval paradigms.
117		117
118	```bash	118	```bash
119	./demo.sh	119	./demo.sh


diff --git a/demo.sh b/demo.sh index d8b0b37..1eb1f64 100755 --- a/demo.sh +++ b/demo.sh
@@ -95,4 +95,4 @@ python "${ROOT}/vecmap/map_embeddings.py" --supervised \
95	"${MAP_TO}/${source_lang}_to_${target_lang}.vec" \	95	"${MAP_TO}/${source_lang}_to_${target_lang}.vec" \
96	"${MAP_TO}/${target_lang}_to_${source_lang}.vec" > /dev/null 2>&1	96	"${MAP_TO}/${target_lang}_to_${source_lang}.vec" > /dev/null 2>&1
97		97
98	python "${ROOT}/WMD_matching.py" "${source_lang}" "${target_lang}" "${MAP_TO}/${source_lang}_to_${target_lang}.vec" "${MAP_TO}/${target_lang}_to_${source_lang}.vec" "${READY}/${source_lang}_to_${target_lang}.def" "${READY}/${target_lang}_to_${source_lang}.def" all	98	python "${ROOT}/WMD.py" "${source_lang}" "${target_lang}" "${MAP_TO}/${source_lang}_to_${target_lang}.vec" "${MAP_TO}/${target_lang}_to_${source_lang}.vec" "${READY}/${source_lang}_to_${target_lang}.def" "${READY}/${target_lang}_to_${source_lang}.def" all all