24 citations · 134 across the 37 of their papers we have counts for
6 papers · 1 filter
Long Short-Term Memory for Japanese Word Segmentation
Yoshiaki Kitagawa, Mamoru Komachi
This study presents a Long Short-Term Memory (LSTM) neural network approach to Japanese word segmentation (JWS). Previous studies on Chinese word segmentation (CWS) succeeded in us…
English-Japanese Neural Machine Translation with Encoder-Decoder-Reconstructor
Yukio Matsumura, Takayuki Sato, Mamoru Komachi
Neural machine translation (NMT) has recently become popular in the field of machine translation. However, NMT suffers from the problem of repeating or missing words in the transla…
Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings
Junki Matsuo, Mamoru Komachi, Katsuhito Sudoh
One of the most important problems in machine translation (MT) evaluation is to evaluate the similarity between translation hypotheses with different surface forms from the referen…
Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention
Ryosuke Miyazaki, Mamoru Komachi
Previous approaches to training syntax-based sentiment classification models required phrase-level annotated corpora, which are not readily available in many languages other than E…
Sparse Named Entity Classification using Factorization Machines
Ai Hirata, Mamoru Komachi
Named entity classification is the task of classifying text-based elements into various categories, including places, names, dates, times, and monetary values. A bottleneck in name…
Construction of a Japanese Word Similarity Dataset
Yuya Sakaizawa, Mamoru Komachi
An evaluation of distributed word representation is generally conducted using a word similarity task and/or a word analogy task. There are many datasets readily available for these…