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.


Extracting and retrieving formulaic expressions for scientific writing assistance

Using Formulaic Expressions in Writing Assistance Systems

Using Formulaic Expressions in Writing Assistance Systems


Although many formulaic expression dictionaries are published to help non-native English speakers write research papers, most of these resources are not machine readable nor hard to use conveniently and handily during writing. In this study, we develop a method of presenting appropriate formulaic expressions based on a user’s ambiguous input. Specifically, we aim at improving the prediction accuracy of formulaic expressions by utilizing rich context information with domain-specific expressions and discourse structures that were extracted automatically from large domain corpora. (Iwatsuki et al.: to be presented at COLING-2018)


Distributdc representation for similar sentence search

Inclusion criterion and crosslingually constrained word representations.

Inclusion criterion and crosslingually constrained word representations.


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 et al.: NAACL HLT 2015 demo [1], ICLR 2015 short [2])