MERAL Myanmar Education Research and Learning Portal
Item
{"_buckets": {"deposit": "10258513-4058-4fdd-8908-7e1895880172"}, "_deposit": {"id": "3998", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3998"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3998", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "N Gram Based Spelling Checker for Myanmar Noun Words", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Myanmar spelling checker system is the important task in one of NLP application such as information retrieval and in most other NLP applications. This system is based on N-Gram approach for Myanmar Spelling Checker. The process is a fundamental task in document processing allowing the automated handling of documents in electronic form. One difficulty in handling some classes of documents is the presence of different kinds of textual error, such as spelling. This system must work reliably and effectively on all input and thus must tolerate some level of these kinds of problems. The aim of the paper is to understand the basic concept of N-Gram approach and to study how to check Myanmar Noun words spelling checkers with data mining approach by using N-Gram-Based approach and then to obtain accurate and relevant result with reduce time consuming. This system can be checked efficiently for Myanmar Noun words spelling."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Myanmar Noun words"}, {"interim": "N Garms approach"}, {"interim": "textual error"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-08-04"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "55105.pdf", "filesize": [{"value": "415 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 415000.0, "url": {"url": "https://meral.edu.mm/record/3998/files/55105.pdf"}, "version_id": "9132632b-e9cb-4721-ba17-9f973500dcbd"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourth Local Conference on Parallel and Soft Computing", "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": "Oo, Naing Lin"}]}]}, "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": "2009-12-30"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1710"}, "item_title": "N Gram Based Spelling Checker for Myanmar Noun Words", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003998", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-08-04"}, "publish_date": "2019-08-04", "publish_status": "0", "recid": "3998", "relation": {}, "relation_version_is_last": true, "title": ["N Gram Based Spelling Checker for Myanmar Noun Words"], "weko_shared_id": -1}
N Gram Based Spelling Checker for Myanmar Noun Words
http://hdl.handle.net/20.500.12678/0000003998
http://hdl.handle.net/20.500.12678/00000039981eea96bf-072e-4ea1-acf4-e010e42a07f9
10258513-4058-4fdd-8908-7e1895880172
Name / File | License | Actions |
---|---|---|
55105.pdf (415 Kb)
|
|
Publication type | ||||||
---|---|---|---|---|---|---|
Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | N Gram Based Spelling Checker for Myanmar Noun Words | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Oo, Naing Lin | ||||||
Description | ||||||
Myanmar spelling checker system is the important task in one of NLP application such as information retrieval and in most other NLP applications. This system is based on N-Gram approach for Myanmar Spelling Checker. The process is a fundamental task in document processing allowing the automated handling of documents in electronic form. One difficulty in handling some classes of documents is the presence of different kinds of textual error, such as spelling. This system must work reliably and effectively on all input and thus must tolerate some level of these kinds of problems. The aim of the paper is to understand the basic concept of N-Gram approach and to study how to check Myanmar Noun words spelling checkers with data mining approach by using N-Gram-Based approach and then to obtain accurate and relevant result with reduce time consuming. This system can be checked efficiently for Myanmar Noun words spelling. | ||||||
Keywords | ||||||
Myanmar Noun words, N Garms approach, textual error | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1710 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |