English and Taiwanese text categorization using N-gram based on Vector Space Model In this paper, we present a new mathematical model based on a "Vector Space Model" and consider its implications. The proposed method is evaluated by perfo... M Suzuki,N Yamagishi,YC Tsai,... - International...
In this study, we design and prototype an automatic quiz generation system (auto-quiz for short) for a given English text to test learner comprehension of text content and English skills. The auto-quiz process parses an English text into a semantic network representation and enhances the ...
In this programme, we look at Generation Z - a name that describes the people born in the late nineties or early noughties. Also known as Gen Z, they are seen as the social media generation. We discuss other characteristics of this young ...
M Umer,Z Imtiaz,M Ahmad,... - 《Multimedia Tools & Applications》 被引量: 0发表: 2022年 A Study of the Position of Discourse Markers: Focusing on the Texts Whose Target Audience Was Intermediate Non-native Speakers of English As an international language, English has become more and more ...
A Chinese-English patent machine translation system based on the theory of hierarchical network of concepts Compared with ordinary text, patent text often has more complex sentence structure and more ambiguity of multiple verbs. To deal with these problems, this ... Y Zhu,YH Jin - 《Journal of...
(2021). A review on question generation from natural language text. ACM Transactions on Information and System Security, 40(1), 1–43. Article Google Scholar Zhang, Z., & Zhu, K. (2021). Diverse and specific clarification question generation with keywords. In Proceedings of the web ...
It’s also awkward to think thatTIYLfeatured an A-Z ofOperation Yew Tree.Jimmy Savilewas the subject twice and appeared as a guest on no fewer than 18 other shows including as diverse characters as wrestlerJackie Pallo, larger than life scientistMagnus Pyke, Pan’s PersonBabs Lordand unpleas...
Han C, Lavoie B, Palmer MS, Rambow O, Kittredge RI, Korelsky T, Kim N, Kim M (2000) Handling stuctural divergences and recovering dropped arguments in a korean/english machine translation system. In: AMTA Hu Z, Yang Z, Liang X, Salakhutdinov R, Xing EP (2017) Toward controlled gener...
Specifically, for the conditioning, we use the generated object layout concatenated by text embeddings, with the same conditioning augmentation applied. The generator G obtains as input a randomly sampled noise vector z, the location and size of the individual bounding boxes, a label for each of ...
Paraphrase Generation involves transforming a natural language sentence to a new sentence, that has the same semantic meaning but a different syntactic or lexical surface form.