5 papers
CEFR-Based Sentence Difficulty Annotation and Assessment
Yuki Arase, Satoru Uchida, Tomoyuki Kajiwara
Controllable text simplification is a crucial assistive technique for language learning and teaching. One of the primary factors hindering its advancement is the lack of a corpus a…
Smart City Data Analysis via Visualization of Correlated Attribute Patterns
Yuya Sasaki, Keizo Hori, Daiki Nishihara +9
Urban conditions are monitored by a wide variety of sensors that measure several attributes, such as temperature and traffic volume. The correlations of sensors help to analyze and…
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences
Andrew Merritt, Chenhui Chu, Yuki Arase
Multimodal neural machine translation (NMT) has become an increasingly important area of research over the years because additional modalities, such as image data, can provide more…
Lexically Cohesive Neural Machine Translation with Copy Mechanism
Vipul Mishra, Chenhui Chu, Yuki Arase
Lexically cohesive translations preserve consistency in word choices in document-level translation. We employ a copy mechanism into a context-aware neural machine translation model…
Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation
Yuki Kawara, Chenhui Chu, Yuki Arase
The word order between source and target languages significantly influences the translation quality in machine translation. Preordering can effectively address this problem. Previo…