Active Reading for Intercomprehension Between Sinogramic Languages - Archive ouverte HAL Access content directly
Conference Papers Year :

Active Reading for Intercomprehension Between Sinogramic Languages


In the domain of e-learning for a linguistic field, active reading interfaces are useful tools for learning new languages. For a learner of a given language, the goal is to assist in knowledge development in other known languages, in order to enhance their learning. An active reading program enriches the understanding of the input sentence in different ways, such as adding the pronunciation of each word or displaying a definition or a translation taken from a dictionary. By the process of analogy, the users would then be able to synthesize the information and produce themselves a translation that would be, at their convenience, both syntactically and semantically appropriate. We propose two new features for an active reading interface that aims to help in the understanding of Sinogramic languages. We focus on Japanese and Mandarin languages. The first feature identifies the reading (on'yomi, kun'yomi…) of the sinograms; the second feature displays, for certain words of the input text, their equivalent in another language that is etymologically close to the source one. In our case, the words with on'yomi reading will be associated with their Mandarin equivalents, in their Pīnyīn form. This tool can be useful for learners of Japanese with some knowledge of Mandarin or the contrary. CCS Concepts • Computing methodologies➝Artificial intelligence➝Natural language processing ➝Language resources
Fichier principal
Vignette du fichier
NLPIR2019_5p_PMMMVBYG_MM06_conf.pdf (337.07 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02165613 , version 1 (26-06-2019)
hal-02165613 , version 2 (04-07-2019)
hal-02165613 , version 3 (28-09-2019)


  • HAL Id : hal-02165613 , version 3


Pierric Mazodier, Yoann Goudin, Mathieu Mangeot, Valérie Bellynck. Active Reading for Intercomprehension Between Sinogramic Languages. Natural Language Processing and Information Retrieval 2019, Jun 2019, Tokushima, Japan. ⟨hal-02165613v3⟩
266 View
141 Download


Gmail Facebook Twitter LinkedIn More