TL;DR: The overall incidence rate of severe reading difficulty appears to be much higher than ever reported on Chinese reading, and children’s reading scores were significantly negatively correlated with their use of the pinyin input method, suggesting that pinyIn typing on e-devices hinders Chinese reading development.
Abstract: Written Chinese as a logographic system was developed over 3,000 y ago. Historically, Chinese children have learned to read by learning to associate the visuo-graphic properties of Chinese characters with lexical meaning, typically through handwriting. In recent years, however, many Chinese children have learned to use electronic communication devices based on the pinyin input method, which associates phonemes and English letters with characters. When children use pinyin to key in letters, their spelling no longer depends on reproducing the visuo-graphic properties of characters that are indispensable to Chinese reading, and, thus, typing in pinyin may conflict with the traditional learning processes for written Chinese. We therefore tested character reading ability and pinyin use by primary school children in three Chinese cites: Beijing (n = 466), Guangzhou (n = 477), and Jining (n = 4,908). Children with severe reading difficulty are defined as those who were normal in nonverbal IQ but two grades (i.e., 2 y) behind in character-reading achievement. We found that the overall incidence rate of severe reading difficulty appears to be much higher than ever reported on Chinese reading. Crucially, we found that children’s reading scores were significantly negatively correlated with their use of the pinyin input method, suggesting that pinyin typing on e-devices hinders Chinese reading development. The Chinese language has survived the technological challenges of the digital era, but the benefits of communicating digitally may come with a cost in proficient learning of written Chinese.
TL;DR: The Moon IME is presented, a pinyin IME that integrates the attention-based neural machine translation (NMT) model and Information Retrieval (IR) to offer amusive and customizable association ability.
Abstract: Chinese pinyin input method engine (IME) lets user conveniently input Chinese into a computer by typing pinyin through the common keyboard. In addition to offering high conversion quality, modern pinyin IME is supposed to aid user input with extended association function. However, existing solutions for such functions are roughly based on oversimplified matching algorithms at word-level, whose resulting products provide limited extension associated with user inputs. This work presents the Moon IME, a pinyin IME that integrates the attention-based neural machine translation (NMT) model and Information Retrieval (IR) to offer amusive and customizable association ability. The released IME is implemented on Windows via text services framework.
TL;DR: In this article, a conversion key is allocated to convert pinyin symbol combinations into a Chinese character or word using nine numerical keys such as those used in a telephone set or a television remote controller.
Abstract: To enable Chinese characters to be inputted by means of pinyin symbols inputted with the use of nine numerical keys such as those used in a telephone set or a television remote controller For inputting pinyin symbols, keys “2” to “9” on a keypad are utilized and a conversion key is allocated, so that pinyin symbol combinations inputted are converted into a Chinese character or word Because of this, difficulty in learning is reduced and the number of keystrokes is also reduced
TL;DR: In this paper, a vehicular voice network music system and a control method for vehicular vehicles is presented, which includes the steps of turning on or off the VN music system, searching songs and playing the songs.
Abstract: The invention discloses a vehicular voice network music system and a control method thereof. The vehicular voice network music system comprises a server and a vehicular loader client terminal mounted on a vehicle, the server comprises a voice cloud computing server, a music search server and a music platform server, both the voice cloud computing server and the music search server are in communication connection with the vehicular loader client terminal, and the music search server is in communication connection with the music platform server. The control method includes the steps of turning on or off the vehicular voice network music system, searching songs and playing the songs. By the aid of the vehicular voice network music system and the control method thereof, the problem of inconvenience for a user to use input methods such as a handwriting input method, a Pinyin input method and a stroke input method during driving is solved.
TL;DR: This work developed an efficient error-tolerant Pinyin input method called "CHIME" that can handle typing errors and achieves a better performance than state-of-the-art input methods.
Abstract: Chinese Pinyin input methods are very important for Chinese language processing. In many cases, users may make typing errors. For example, a user wants to type in "shenme" (???, meaning "what" in English) but may type in "shenem" instead. Existing Pinyin input methods fail in converting such a Pinyin sequence with errors to the right Chinese words. To solve this problem, we developed an efficient error-tolerant Pinyin input method called "CHIME" that can handle typing errors. By incorporating state-of-the-art techniques and language-specific features, the method achieves a better performance than state-of-the-art input methods. It can efficiently find relevant words in milliseconds for an input Pinyin sequence.