In its first week alone, the campaign achieved 729,078 media impressions, attracted 8,818 click-throughs and drove 380,730 new browsers to be installed. The Forgetting Tab provided a simple, innovative solution to a growing problem in Vietnam. The Forgetting Tab campaign reminded people to help those who forget, to learn more about the disease and to be more sympathetic to sufferers and their caregivers. The campaign launch was supported by media activity including web and video banner ads, keyword search ads, browser skins and a PR campaign targeting 30 leading Vietnamese media channels and platforms.
“The Forgetting Tab” name perfectly fitted the campaign because some users of Cốc Cốc make the choice to forget their browsing history, but Alzheimer sufferers have no choice in losing their memories of the precious people and moments in their life. They could then click through for more information and guides to practical help. The private browser was renamed “The Forgetting Tab” and users who wanted to surf incognito were served an emotional video message about Alzheimer's to inform them about this serious, life-debilitating disease in a powerful way. When using incognito mode, pages viewed do not stick around in the browser history, cookie store or search history after the tab is closed. The project uses Cốc Cốc's existing incognito or private browsing mode to call attention to the forgetfulness that characterises Alzheimer's. We worked with Cốc Cốc, a Vietnamese browser and search engine with 22 million users, to develop “The Forgotten Tab” campaign. The answer lay in combining an online technology, with which Vietnamese engage every day, with an attention-grabbing creative idea. How could we raise awareness, create conversation and prompt visits to medical specialists about this illness when it was such a taboo subject? In addition to this, societal stigmas around the disease meant many sufferers did not admit they had the condition or seek treatment. Research showed that despite almost half a million Vietnamese people suffering from Alzheimer’s disease, awareness of the disease and its symptoms was critically low. If you find any issues or have any suggestions regarding further upgrades, please, report them here or write us through github.It’s hard to generate compassion and empathy without understanding.
We are also thinking about adding POS tagger and more complex linguistic features later. We'd love to introduce bindings for Python and maybe other languages later and we'd be happy if somebody can help us doing that. We thus didn't want to provide exact quality comparison results as probably the goals and potential use cases of this library and of those similar ones mentioned above are different and thus precise comparison doesn't make much sense. We also don't apply any named entity recognition mechanisms within the tokenizer and have few rare cases where we fail to solve ambiguity correctly. RDRsegmenter : cô bé lớn lên dưới mái lều tranh rách_nát, trong một gia_đình có bốn thế_hệ phải xách bị_gậy đi ăn_xin. Underthesea : cô bé lớn lên dưới mái lều tranh rách_nát, trong một gia_đình có bốn thế_hệ phải xách bị_gậy đi ăn_xin. Original : cô bé lớn lên dưới mái lều tranh rách nát, trong một gia đình có bốn thế hệ phải xách bị gậy đi ăn xin.Ĭoccoc-tokenizer : cô_bé lớn lên dưới mái lều tranh rách_nát, trong một gia_đình có bốn thế_hệ phải xách bị gậy đi ăn_xin. RDRsegmenter : kết_quả cuộc thi phóng_sự - ký_sự 2004 của báo Tuổi_Trẻ. Underthesea : kết_quả cuộc thi phóng_sự - ký_sự 2004 của báo Tuổi_Trẻ. Original : kết quả cuộc thi phóng sự - ký sự 2004 của báo Tuổi Trẻ.Ĭoccoc-tokenizer : kết_quả cuộc_thi phóng_sự - ký_sự 2004 của báo Tuổi_Trẻ. RDRsegmenter : Em_út theo anh_cả vào miền Nam.
Underthesea : Em_út theo anh cả vào miền Nam. Original : Em út theo anh cả vào miền Nam.Ĭoccoc-tokenizer : Em_út theo anh_cả vào miền_Nam. The tokenizer tool has a special output format which is similar to other existing tools for tokenization of Vietnamese texts - it preserves all the original text and just marks multi-syllable tokens with underscores instead of spaces. Speed: 15M characters / second, or 2.5M tokens / second.Dataset: 1.203.165 Vietnamese Wikipedia articles ( Link).The benchmark is done on a typical laptop with Intel Core i5-5200U processor: The library provides high speed tokenization which is a requirement for performance critical applications. # output: Other languagesīindings for other languages are not yet implemented but it will be nice if someone can help to write them. word_tokenize( "xin chào, tôi là người Việt Nam", tokenize_option = 0)) # tokenize_option: # 0: TOKENIZE_NORMAL (default) #đ: TOKENIZE_HOST #Ē: TOKENIZE_URL print( T. From CocCocTokenizer import PyTokenizer # load_nontone_data is True by default T = PyTokenizer( load_nontone_data = True)
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