Inference items added

interactive.sh

@@ -0,0 +1,18 @@
+source_lang=en
+target_lang=$1
+input_file=$2
+beam=$3
+nbest=$4
+
+
+fairseq-interactive corpus-bin \
+  --path transformer/checkpoint_best.pt \
+  --task translation_multi_simple_epoch \
+  --beam $beam \
+  --nbest $nbest \
+  --source-lang $source_lang \
+  --target-lang $target_lang \
+  --encoder-langtok "tgt" \
+  --lang-dict lang_list.txt \
+  --input $input_file \
+  --lang-pairs en-as,en-bn,en-brx,en-gom,en-gu,en-hi,en-kn,en-ks,en-mai,en-ml,en-mni,en-mr,en-ne,en-or,en-pa,en-sa,en-sd,en-si,en-ta,en-te,en-ur  > output/${source_lang}_${target_lang}.txt

lang_list.txt

@@ -0,0 +1,22 @@
+en
+as
+bn
+brx
+gom
+gu
+hi
+kn
+ks
+mai
+ml
+mni
+mr
+ne
+or
+pa
+sa
+sd
+si
+ta
+te
+ur

load_input.py

@@ -0,0 +1,16 @@
+import sys
+import re
+
+line = sys.argv[1]
+line = re.sub(r'[^a-zA-Z ]+', '', line.strip().lower())
+
+words = line.split(' ')
+
+input_words = []
+
+for word in words:
+    input_words.append(' '.join(list(word)))
+
+with open('source/source.txt', 'w') as file:
+    for word in (input_words):
+        file.write(word + "\n")

transliterate_word.sh

@@ -0,0 +1,16 @@
+while getopts l:i:b:n:r: module
+do
+    case "${module}" in
+        l)lang_abr=${OPTARG};;
+        i)input_file=${OPTARG};;
+        b)beam=${OPTARG};;
+        n)nbest=${OPTARG};;
+        r)rerank=${OPTARG};;
+    esac
+done
+
+while IFS= read -r line; do
+    python3 load_input.py "$line"
+    bash interactive.sh $lang_abr 'source/source.txt' $beam $nbest
+    python3 generate_result_files_txt.py $lang_abr $rerank
+done < $input_file