Second draft of Korean Cardinal ITN

Jenkinsfile

@@ -28,6 +28,8 @@ pipeline {
     MR_TN_CACHE='/home/jenkinsci/TestData/text_norm/ci/grammars/03-12-24-1'
     JA_TN_CACHE='/home/jenkinsci/TestData/text_norm/ci/grammars/10-17-24-1'
     HI_TN_CACHE='/home/jenkinsci/TestData/text_norm/ci/grammars/04-22-25-0'
+    KO_TN_CACHE='/home/jenkinsci/TestData/text_norm/ci/grammars/05-21-25-0'
+
     DEFAULT_TN_CACHE='/home/jenkinsci/TestData/text_norm/ci/grammars/06-08-23-0'
   }
   stages {
@@ -318,6 +320,22 @@ pipeline {
         }
       }
     }
+    stage('L0: Create KO ITN Grammars') {
+      when {
+        anyOf {
+          branch 'main'
+          changeRequest target: 'main'
+        }
+      }   
+      failFast true
+      parallel {
+        stage('L0: KO ITN grammars') {
+          steps {
+            sh 'CUDA_VISIBLE_DEVICES="" python nemo_text_processing/inverse_text_normalization/inverse_normalize.py --lang=ko --text="100" --cache_dir ${KO_TN_CACHE}'
+          }
+        }
+      }
+    }    
 
 
 // L1 Tests starts here
@@ -406,6 +424,11 @@ pipeline {
             sh 'CUDA_VISIBLE_DEVICES="" pytest tests/nemo_text_processing/hy/ -m "not pleasefixme" --cpu --tn_cache_dir ${HY_TN_CACHE}'
           }
         }
+        stage('L1: Run all KO TN/ITN tests (restore grammars from cache)') {
+          steps {
+            sh 'CUDA_VISIBLE_DEVICES="" pytest tests/nemo_text_processing/ko/ -m "not pleasefixme" --cpu --tn_cache_dir ${KO_TN_CACHE}'
+          }
+        }        
       }
     }
 

nemo_text_processing/inverse_text_normalization/inverse_normalize.py

@@ -131,6 +131,11 @@ def __init__(
             from nemo_text_processing.inverse_text_normalization.ja.verbalizers.verbalize_final import (
                 VerbalizeFinalFst,
             )
+        elif lang == 'ko':  # Korean
+            from nemo_text_processing.inverse_text_normalization.ko.taggers.tokenize_and_classify import ClassifyFst
+            from nemo_text_processing.inverse_text_normalization.ko.verbalizers.verbalize_final import (
+                VerbalizeFinalFst,
+            )
 
         self.tagger = ClassifyFst(
             cache_dir=cache_dir, whitelist=whitelist, overwrite_cache=overwrite_cache, input_case=input_case
@@ -175,7 +180,7 @@ def parse_args():
     parser.add_argument(
         "--language",
         help="language",
-        choices=['en', 'de', 'es', 'pt', 'ru', 'fr', 'sv', 'vi', 'ar', 'es_en', 'zh', 'hi', 'hy', 'mr', 'ja'],
+        choices=['en', 'de', 'es', 'pt', 'ru', 'fr', 'sv', 'vi', 'ar', 'es_en', 'zh', 'hi', 'hy', 'mr', 'ja', 'ko'],
         default="en",
         type=str,
     )

nemo_text_processing/inverse_text_normalization/ko/__init__.py

@@ -0,0 +1,17 @@
+# Copyright (c) 2025, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from nemo_text_processing.inverse_text_normalization.ko.taggers.tokenize_and_classify import ClassifyFst
+from nemo_text_processing.inverse_text_normalization.ko.verbalizers.verbalize import VerbalizeFst
+from nemo_text_processing.inverse_text_normalization.ko.verbalizers.verbalize_final import VerbalizeFinalFst

nemo_text_processing/inverse_text_normalization/ko/data/__init__.py

@@ -0,0 +1,13 @@
+# Copyright (c) 2025, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.

nemo_text_processing/inverse_text_normalization/ko/data/numbers/__init__.py

@@ -0,0 +1,13 @@
+# Copyright (c) 2025, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.

nemo_text_processing/inverse_text_normalization/ko/data/numbers/digit.tsv

@@ -0,0 +1,9 @@
+일	1
+이	2
+삼	3
+사	4
+오	5
+육	6
+칠	7
+팔	8
+구	9

nemo_text_processing/inverse_text_normalization/ko/data/numbers/zero.tsv

@@ -0,0 +1 @@
+영	0