6 papers · 1 filter
Unbalanced Optimal Transport for Unbalanced Word Alignment
Yuki Arase, Han Bao, Sho Yokoi
Monolingual word alignment is crucial to model semantic interactions between sentences. In particular, null alignment, a phenomenon in which words have no corresponding counterpart…
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research
Ji-Ung Lee, Haritz Puerto, Betty van Aken +8
Many recent improvements in NLP stem from the development and use of large pre-trained language models (PLMs) with billions of parameters. Large model sizes makes computational cos…
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…
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…