Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "c331cfe2-0e8f-436b-8c73-43e86f0b4604"}, "_deposit": {"created_by": 73, "id": "8007", "owner": "73", "owners": [73], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8007"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008007", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "\"Abstract: Myanmar POS (part of speech) tagging is one of the useful preprocessing steps for Myanmar to English machine translation system and other NLP activities of Myanmar text. Basically, the nature of Myanmar language is a subject-object-verb language but the order in syntactic patterns of the words can vary based on the position in the sentence. Therefore, to achieve the proper POS categories of the words in Myanmar text is a challenging task. This paper presents an approach to indentify part of speech of the known words in the written Myanmar text. This proposed system is defined detailed POS tag sets, tagging algorithm, POS disambiguation rules which are generated from morphological features of Myanmar grammar. So, this proposed system can provide the promising tagging accuracy for the written Myanmar text.\n\""}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "POS Tagging; Morphological Features; Syntactic Categories.Natural Language Processing, POS Taggings"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-02-09"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text.pdf", "filesize": [{"value": "599 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_3", "mimetype": "application/pdf", "size": 599000.0, "url": {"url": "https://meral.edu.mm/record/8007/files/Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text.pdf"}, "version_id": "3bfdbe69-ce25-422a-a9d7-56f67a2a3871"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "Issue 5", "subitem_journal_title": "Journal of Computational Liguistics and Natural Language Processing,India", "subitem_pages": "Pages 396-403", "subitem_volume": "Volume 2"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Sin Thi Yar Myint"}, {"subitem_authors_fullname": "Mie Mie Khin"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2013-06-07"}, "item_title": "Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text", "item_type_id": "21", "owner": "73", "path": ["1582963674932", "1597396989070"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000008007", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-02-09"}, "publish_date": "2021-02-09", "publish_status": "0", "recid": "8007", "relation": {}, "relation_version_is_last": true, "title": ["Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text"], "weko_shared_id": -1}
  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Computer Science

Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text

http://hdl.handle.net/20.500.12678/0000008007
http://hdl.handle.net/20.500.12678/0000008007
a4164e84-c3b0-4952-8005-9557ac14682a
c331cfe2-0e8f-436b-8c73-43e86f0b4604
None
Preview
Name / File License Actions
Lexicon Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text.pdf (599 KB)
license.icon
Publication type
Journal article
Upload type
Publication
Title
Title Lexicon Based Word Segmentation and Part of Speech Tagging for Written Myanmar Text
Language en
Publication date 2013-06-07
Authors
Sin Thi Yar Myint
Mie Mie Khin
Description
"Abstract: Myanmar POS (part of speech) tagging is one of the useful preprocessing steps for Myanmar to English machine translation system and other NLP activities of Myanmar text. Basically, the nature of Myanmar language is a subject-object-verb language but the order in syntactic patterns of the words can vary based on the position in the sentence. Therefore, to achieve the proper POS categories of the words in Myanmar text is a challenging task. This paper presents an approach to indentify part of speech of the known words in the written Myanmar text. This proposed system is defined detailed POS tag sets, tagging algorithm, POS disambiguation rules which are generated from morphological features of Myanmar grammar. So, this proposed system can provide the promising tagging accuracy for the written Myanmar text.
"
Keywords
POS Tagging; Morphological Features; Syntactic Categories.Natural Language Processing, POS Taggings
Journal articles
Issue 5
Journal of Computational Liguistics and Natural Language Processing,India
Pages 396-403
Volume 2
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2021-02-09 10:37:03.714820
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL