Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuzana Win"'
Autor:
Yuzana Win, Tomonari Masada
Publikováno v:
ICTC
Myanmar is one of the developing countries situated in South-East Asia, and there are still many areas that have been under-developed with respect to advanced natural language processing technologies, where text-to-speech is one of them. The main mot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e81953be6949c6835e79cc84c0db05c3
https://doi.org/10.1109/ictc49870.2020.9289599
https://doi.org/10.1109/ictc49870.2020.9289599
Publikováno v:
ICTC
The main motivation of this paper is to improve the naturalness of Myanmar text-to-speech system using an end-to-end generative model called Tacotron. We introduce the open-source implementation for Myanmar text-to-speech system with very high natura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab42f13a9f37875bffab073528f79045
https://doi.org/10.1109/ictc49870.2020.9289277
https://doi.org/10.1109/ictc49870.2020.9289277
Autor:
Yuzana Win
Publikováno v:
2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia).
As a growth of the technological world, web technologies and social networking emerged and played an important role in telecommunication. People misuse the social network as a new weapon to make a person attack unable to find the identity of the atta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9987a25f0a53206c0e84ba785fd2ca77
https://doi.org/10.1109/icce-asia46551.2019.8942212
https://doi.org/10.1109/icce-asia46551.2019.8942212
Autor:
Yuzana Win, Tomonari Masada
This paper proposes a method for out-of-vocabulary (OOV) words extraction from Myanmar text with maximal substrings. Our method aims to extract OOV words that can be added into the Myanmar dictionary. The outcome of our method are new compound words
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cadec794a872fb8173b50191f5544317
Autor:
Yuzana, Win
長崎大学学位論文 [学位記番号]博（工）甲第36号 [学位授与年月日]平成29年3月21日
(2017-03-21)
(2017-03-21)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9f1b05e625553892fc37ca2d5441561e
http://hdl.handle.net/10069/37219
http://hdl.handle.net/10069/37219
Autor:
Tomonari Masada, Yuzana Win
Publikováno v:
TAAI
This paper proposes a method for proper names extraction from Myanmar text by using latent Dirichlet allocation (LDA). Our method aims to extract proper names that provide important information on the contents of Myanmar text. Our method consists of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ca5190f83d1a47cfcc8140ab188e8ad
https://doi.org/10.1109/taai.2016.7880176
https://doi.org/10.1109/taai.2016.7880176
Autor:
Yuzana Win, Tomonari Masada
Publikováno v:
IIAI-AAI
This paper proposes a method for exploring out-of-vocabulary (OOV) words from Myanmar text by using maximal substrings. Our main purpose is to find OOV words that can be added into the Myanmar dictionary. The outcome of our method are new compound wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dcc8564044d5642f089e3dda17fa849
https://doi.org/10.1109/iiai-aai.2016.73
https://doi.org/10.1109/iiai-aai.2016.73
Autor:
Tomonari Masada, Yuzana Win
Publikováno v:
International Journal of Advanced Research in Artificial Intelligence. 5
This paper proposes a new method for query expansion based on bidirectional extraction of phrases as word n-grams from research paper titles. The proposed method aims to extract information relevant to users’ needs and interests and thus to provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f90ff2e9ca19451dce5aaad034659c5
https://doi.org/10.14569/ijarai.2016.050105
https://doi.org/10.14569/ijarai.2016.050105
Autor:
Yuzana Win, Tomonari Masada
Publikováno v:
AINA Workshops
This paper proposes a method for exploring technical phrase frames by extracting word n-grams that match our information needs and interests from research paper titles. Technical phrase frames, the outcome of our method, are phrases with wildcards th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e39d2c6559b115502066d93d9f359a7
https://doi.org/10.1109/waina.2015.37
https://doi.org/10.1109/waina.2015.37