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": "110e2fbd-2208-4d38-8408-a77ed5c1fcbf"}, "_deposit": {"id": "4683", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4683"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4683", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper contributes the first evaluation of the quality of automatic translation between Myanmar sign language (MSL) and Myanmar written text, in both directions. Our developing MSL-Myanmar parallel corpus was used for translations and the experiments were carried out using three different statistical machine translation (SMT) approaches: phrase-based, hierarchical phrase-based, and the operation sequence model. In addition, three different segmentation schemes were studies, these were syllable segmentation, word segmentation and sign unit based word segmentation. The results show that the highest quality machine translation was attained with syllable segmentations for both MSL and Myanmar written text."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Hierarchical Phrase-based Machine Translation"}, {"interim": "Myanmar sign language"}, {"interim": "Operation Sequence Model"}, {"interim": "Phrase-based Machine Translation"}, {"interim": "Word Segmentation"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Sixteenth International Conferences on Computer Applications(ICCA 2018)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Moe, Swe Zin"}, {"subitem_authors_fullname": "Thu, Ye Kyaw"}, {"subitem_authors_fullname": "Hlaing, Hnin Wai Wai"}, {"subitem_authors_fullname": "Nwe, Hlaing Myat"}, {"subitem_authors_fullname": "Aung, Ni Htwe"}, {"subitem_authors_fullname": "Thant, Hnin Aye"}, {"subitem_authors_fullname": "Min, Nandar Win"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2018-02-22"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/346"}, "item_title": "Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004683", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4683", "relation": {}, "relation_version_is_last": true, "title": ["Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text

http://hdl.handle.net/20.500.12678/0000004683
http://hdl.handle.net/20.500.12678/0000004683
3e535804-b275-4f3f-b666-918bf4808923
110e2fbd-2208-4d38-8408-a77ed5c1fcbf
Publication type
Article
Upload type
Publication
Title
Title Statistical Machine Translation between Myanmar Sign Language and Myanmar Written Text
Language en
Publication date 2018-02-22
Authors
Moe, Swe Zin
Thu, Ye Kyaw
Hlaing, Hnin Wai Wai
Nwe, Hlaing Myat
Aung, Ni Htwe
Thant, Hnin Aye
Min, Nandar Win
Description
This paper contributes the first evaluation of the quality of automatic translation between Myanmar sign language (MSL) and Myanmar written text, in both directions. Our developing MSL-Myanmar parallel corpus was used for translations and the experiments were carried out using three different statistical machine translation (SMT) approaches: phrase-based, hierarchical phrase-based, and the operation sequence model. In addition, three different segmentation schemes were studies, these were syllable segmentation, word segmentation and sign unit based word segmentation. The results show that the highest quality machine translation was attained with syllable segmentations for both MSL and Myanmar written text.
Keywords
Hierarchical Phrase-based Machine Translation, Myanmar sign language, Operation Sequence Model, Phrase-based Machine Translation, Word Segmentation
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/346
Journal articles
Sixteenth International Conferences on Computer Applications(ICCA 2018)
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 15:16:12.184979
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