This paper introduces new definitions of Chinese base phrases and presents a hybrid model to combine Memory-Based Learning method and disambiguation proposal based on lexical information and grammar rules populated from a large corpus for 9 types of Chinese base phrases chunking. Our experiment achieves an accuracy (F-measure) of 93.4%. The significance of the research lies in the fact that it ...

In this paper we will discuss the Auto-extraction of paraphrases of letter-word phrases in live Chinese texts. The paper discusses the modes of conventional dictionaries firstly, and then gives the principles of paraphrase of letter-word phrases; with an analysis of the examples of letter-word phrases paraphrases secondly, and then gives their formalized denotations and presents an auto-recogni...

We present a speech synthesizer to seamlessly concatenate recorded and synthetic phrases to produce natural sounding and highly expressive speech. Not only the acoustic units, but also the F0 contours are seamlessly concatenated together from recorded and synthetic phrases. When mixed with recorded phrases, the F0 contours of synthetic phrases are generated adaptively relative to the actual sur...

In this article, I provide a typology of transition words/phrases. This typology comprises 12 dimensions of link words/phrases that capture 277 link words/phrases. Using QDA Miner, WordStat, and SPSS—a computer-assisted mixed methods data analysis software, content analysis software, and statistical software, respectively—I analyzed 74 manuscripts that were submitted to the journal Research in ...

We present a speech synthesizer to seamlessly concatenate recorded and synthetic phrases to produce natural sounding and highly expressive speech. Not only the acoustic units, but also the F0 contours are seamlessly concatenated together from recorded and synthetic phrases. When mixed with recorded phrases, the F0 contours of synthetic phrases are generated adaptively relative to the actual sur...

In this paper we will describe a process for mining syntactical verbal subcategorization, i.e. the information about the kind of phrases or clauses a verb goes with. We will use a large text corpus having almost 10,000,000 tagged words as our resource material. Loglinear modeling is used to analyze and automatically identify the subcategorization dependencies. An unsupervised clustering algorit...

This article presents a contrastive analysis between reading time and syntactic/semantic categories in Japanese. We overlaid the reading time annotation of BCCWJ-EyeTrack and a syntactic/semantic category information annotation on the ‘Balanced Corpus of Contemporary Written Japanese’. Statistical analysis based on a mixed linear model showed that verbal phrases tend to have shorter reading tim...

This paper proposes a statistical method of acquiring knowledge about the abbreviation possibility of some of multiple phrases modifying the same verb/noun. Our method calculates weight values of multiple phrases by mutual information based on the strength of relation between the phrases among the multiple phrases and modified verbs/nouns. Among phrases modifying the same verb/noun, those havin...

In this paper, we present a two-stage approach to generating descriptive phrases from the output of a statistical topic model, such as LDA [4]. First, we propose a Bayesian method for selecting statistically significant phrases from a corpus of documents, using inferred parameter values from LDA. Second, the selected phrases are combined with the topic assignments to make a list of candidate ph...