Language interface techniques to assist document writing

We are studying the semantic indexing method for associating other texts semantically similar and recommending them as an example to the arbitrary sites of the text read and written by a user in this project. Moreover, our subjects include paraphrasing, error correction, and template extraction for sentence generation, with the aim of developing a practical application that assists paper writing in English for non-native speakers.


Distributdc representation for similar sentence search

Inclusion criterion and crosslingually constrained word representations (by Hubert Soyer).

Inclusion criterion and crosslingually constrained word representations (by Hubert Soyer).

We propose a neural network that learns the semantic expression of phrases based on a novel standard called Inclusion criterion, which has implemented a multilanguage similar sentence search function. Furthermore, we have applied the proposed method to a Japanese–English bilingual corpus extracted from papers, and prepared a demonstration tool for English composition support CroVeWA. (Hubert Soyer, Goran Topić)