Merge pull request #162 from ko-nlp/pages-en-modumessenger

modu_messenger.md 영문 번역 반영

en-docs/corpuslist/modu_messenger.md

@@ -4,4 +4,63 @@ sort: 14
 
 # Modu: Messenger
 
-TBD
+Modu: Messenger is a dataset released by National Institute of Korean Language.
+Data specification is as follows.
+
+- author: National Institute of Korean Language
+- repository: [https://corpus.korean.go.kr](https://corpus.korean.go.kr)
+- references: [document](https://rlkujwkk7.toastcdn.net/NIKL_MESSENGER(v1.0).pdf)
+- size:
+  - train: 4,203 examples
+
+Data structure is as follows:
+
+|Attributes|Property|
+| --- | --- |
+| document_id | Unique id of the conversation |
+| form | text of the conversation |
+| original_form | original text of the conversation |
+| speaker_id | speaker (in non-numerical format) |
+| time | `yyyymmdd hh:mm` format |
+
+```warning
+Due to the licensing issue of Modu corpus, `Korpora` does not provide any download functions for this corpus. Rather, it only offers a load function.
+If you wish to use this corpus, please complete the authentication process required by the National Institue of Korean Language and manually download the corpus. 
+```
+
+You can load the corpus from your Python console as follows.
+
+```python
+from Korpora import Korpora
+corpus = Korpora.load("modu_messenger")
+```
+
+```warning
+The code assumes that the corpus has already been unzipped into NIKL_MESSENGER directory within `~/Korpora` (`~/Korpora/NIKL_MESSENGER`).
+If the root directory is not `~/Korpora`, add `root_dir=custom_path` argument to the `load` method.
+```
+
+You can also load the corpus as follows.
+The output of these codes is identical to that of previous codes.
+
+```python
+from Korpora import ModuMessengerKorpus
+corpus = ModuMessengerKorpus()
+```
+
+```warning
+The codes assumes that the corpus has already been unzipped into `~/Korpora/NIKL_MESSENGER` within the current user's local root. 
+If the corpus exists in another directory, add `root_dir_or_paths=custom_path` argument in `ModuMessengerKorpus` class declaration.
+```
+
+If you use either one of these previous examples, you can load the corpus into the variable `corpus`.
+`train` refers to the training dataset of the corpus, and you can check its first training instance as follows.
+
+```
+>>> corpus.train[0]
+Conversation(id=MDRW1900000002.1, len=70, attributes=(form(str), original_form(str), speaker_id(str), time(str)))
+>>> corpus.train[0].form
+('누나 모해??', 'ㅋㅋㅋㅋ 일하고 있지ㅠㅠ', ... )
+>>> corpus.train[0].speaker_id
+('1', '2', ... )
+```