typo fixed

egs/aishell/ASR/prepare.sh

@@ -242,7 +242,7 @@ if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
       -lm data/lm/3-gram.unpruned.arpa
   fi
 
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
   if [ ! -f data/lm/G_3_gram_char.fst.txt ]; then
     # It is used in building HLG

egs/aishell2/ASR/prepare.sh

@@ -157,7 +157,7 @@ fi
 
 if [ $stage -le 6 ] && [ $stop_stage -ge 6 ]; then
   log "Stage 6: Prepare G"
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
 
   if [ ! -f ${lang_char_dir}/3-gram.unpruned.arpa ]; then

egs/gigaspeech/ASR/prepare.sh

@@ -293,7 +293,7 @@ fi
 
 if [ $stage -le 12 ] && [ $stop_stage -ge 12 ]; then
   log "Stage 12: Prepare G"
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
 
   mkdir -p data/lm

egs/librispeech/ASR/prepare.sh

@@ -278,7 +278,7 @@ fi
 
 if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
   log "Stage 8: Prepare G"
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
 
   mkdir -p data/lm

egs/librispeech/WSASR/prepare.sh

@@ -193,7 +193,7 @@ fi
 
 if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then
   log "Stage 5: Prepare G"
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
 
   mkdir -p "${lm_dir}"

egs/mgb2/ASR/prepare.sh

@@ -188,7 +188,7 @@ fi
 
 if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
   log "Stage 8: Prepare G"
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
   for vocab_size in ${vocab_sizes[@]}; do
     lang_dir=data/lang_bpe_${vocab_size}

egs/swbd/ASR/prepare.sh

@@ -311,7 +311,7 @@ fi
 if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
     log "Stage 8: Prepare G"
     lang_dir=data/lang_phone
-    # We assume you have install kaldilm, if not, please install
+    # We assume you have installed kaldilm, if not, please install
     # it using: pip install kaldilm
 
     mkdir -p data/lm

egs/tal_csasr/ASR/prepare.sh

@@ -150,7 +150,7 @@ if [ $stage -le 5 ] && [ $stop_stage -ge 5 ]; then
   fi
 
   # Prepare words.txt
-  # We assume you have install jieba, if not, please install
+  # We assume you have installed jieba, if not, please install
   # it using: pip install jieba
   if [ ! -f $lang_char_dir/words.txt ]; then
     python -m jieba $lang_char_dir/text | sed 's/\///g;s/\s\+/ /g' > $lang_char_dir/text.seg

egs/tedlium3/ASR/prepare.sh

@@ -172,7 +172,7 @@ fi
 
 if [ $stage -le 7 ] && [ $stop_stage -ge 7 ]; then
   log "Stage 7: Prepare G"
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
 
   mkdir -p data/lm

egs/wenetspeech/ASR/prepare.sh

@@ -237,7 +237,7 @@ fi
 if [ $stage -le 17 ] && [ $stop_stage -ge 17 ]; then
   log "Stage 17: Prepare G"
   # It will take about 20 minutes.
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
   if [ ! -f $lang_char_dir/3-gram.unpruned.arpa ]; then
     python3 ./shared/make_kn_lm.py \

egs/xbmu_amdo31/ASR/prepare.sh

@@ -224,7 +224,7 @@ fi
 
 if [ $stage -le 8 ] && [ $stop_stage -ge 8 ]; then
   log "Stage 8: Prepare G"
-  # We assume you have install kaldilm, if not, please install
+  # We assume you have installed kaldilm, if not, please install
   # it using: pip install kaldilm
 
   mkdir -p data/lm