Japanese

and complex meanings; whereas Radford's (1990) maturational theory makes no such predictions about Japanese. In replicating O'Grady's (1993) Korean study, I collected both production and comprehension data for Japanese. The …...

Bilingual or Multilingual speech recognition gradually becomes an attractive research topic because bilingual writings appear almost everywhere in present day. In this paper, we propose a continuous word-based speech recognition …...

. We explore the use of a partially annotated corpus to build a depen- dency parser for Japanese. We examine two types of partially annotated corpora. It is found that …...

. This paper presents the architectural aspects of the phrase analyzer that attempts to recognize phrases and identify the functional roles in the sentences in formal Japanese documents. Since the …...

. This paper presents an implementation of a gramar of Dynamic Syntax for Japanese. Dynamic Syntax is a grammar formalism which enables a parser to process a sentence in an …...

. Japanese does not exhibit deontic-epistemic polysemy which is recognized among typologically different languages. Hence, in Japanese linguistics, it has been debated which of the two types of modality is …...

Numerative classifiers are ubiquitous in many Asian languages. This paper pro- poses a method to construct a taxonomy of numerative classifiers based on a noun- classifier agreement database. The taxon- …...

. In this paper, we propose a new linguistic approach for sentiment analysis of Korean. In order to overcome shortcomings of previous works confined to statistical methods, we make effective …...

. Wikipedia is a potentially very useful source of information, but intuitively it is difficult to have confidence in the quality of an encyclopedia that anyone can modify. One aspect …...

Numeral classifiers present a challenge to suc- cessful machine translation. We investigate two numeral classifier languages: Mandarin Chinese and Japanese. This paper presents a quantitative analysis of classifier translations between …...

While much work has considered the problem of latent attribute inference for users of social media such as Twitter, little has been done on non-English-based content and users. Here, we …...

We propose a minimally supervised method for multilingual paraphrase extraction from definition sentences on the Web. Hashimoto et al. (2011) extracted paraphrases from Japanese definition sentences on the Web, as- …...

The use of an obligatory numeral classifier (C) on N in general does not co-occur with mandatory plural marking (PM) (Greenberg 1990[1972], Sanches and Slobin 1973). Borer (2005) and Her …...

AbstractThis paper outlines the recent development on multilingual medical data and multilingual speech recognition system for network-based speech-to-speech translation in the medical domain. The overall speech-to-speech translation (S2ST) system was …...

It is well known that prosodic information is used by infants in early language acquisition. In particular, prosodic boundaries have been shown to help infants with sentence and word- level …...

We study the relationship between word order freedom and preordering in statisti- cal machine translation. To assess word order freedom, we first introduce a novel entropy measure which quantifies how …...

We propose a pipeline through which to derive clusters of dialects, given a mixed corpus composed of different dialects, when their standard counterpart is sufficiently resourced. The test case is …...

AbstractWord segmentation is a low-level NLP task that is non-trivial for a considerable number of languages. In this paper, we present a sequence tagging framework and apply it to word …...

AbstractRecurrent neural network grammars generate sentences using phrase-structure syntax and perform very well on both parsing and language modeling. To explore whether generative dependency models are similarly effective, we propose …...

AbstractWe propose a new type of representation learning method that models words, phrases and sentences seamlessly. Our method does not depend on word segmentation and any human-annotated resources (e.g., word …...

AbstractVerb prediction is important for understanding human processing of verb-final languages, with practical applications to real-time simultaneous interpretation from verb-final to verb-medial languages. While previous approaches use classical statistical models, …...

AbstractWe examine a methodology using neural language models (LMs) for analyzing the word order of language. This LM-based method has the potential to overcome the difficulties existing methods face, such …...

AbstractFine-grained control of machine translation (MT) outputs along multiple attributes is critical for many modern MT applications and is a requirement for gaining users’ trust. A standard approach for exerting …...

With the increasing interest in low-resource languages, unsupervised morphological seg- mentation has become an active area of re- search, where approaches based on Adap- tor Grammars achieve state-of-the-art results. We …...