Articles

. This paper proposes an empirical comparison between word-based method and character-based method for Chinese word segmentation. In three Chinese word segmentation Bakeoffs, character-based method quickly rose as a mainstream technique in this field. We disclose the linguistic background and sta- tistical feature behind this observation. Also, an empirical study …...

. This paper proposes a networked data mining method for relations discovery from large corpus. The key idea is representing the named entities pairs and their contexts as the network structure and detecting the communities from the network. Then each community relates to a relation the named entities pairs in …...

We describe the LDV-COMBO system pre- sented at the Shared Task. Our approach explores the possibility of working with alignments at different levels of abstrac- tion using different degrees of linguis- tic analysis from the lexical to the shal- low syntactic level. Translation mod- els are built on top of …...

. Based on large-scale bilingual corpora and the theories of vector space model and lexical mutual information, this paper explores the application of the traditional monolingual IR technology to converting the translation of query sentence to the computation of the boost value of query keyword translations in the bilingual dictionary, …...

. The Olympics-oriented mobile game news ordering system introduced in the paper involved the technology of natural language processing, machine learning and information extraction. We collected text information from the major Internet media websites about the table-tennis and badminton games of the 2004 Athens Olympics; then we transformed these texts …...

. Natural language processing (NLP) is a very hot research domain. One important branch of it is sentence analysis, including Chinese sentence analysis. However, currently, no mature deep analysis theories and techniques are available. An alternative way is to perform shallow parsing on sentences which is very popular in the …...

. This paper presents a new document clustering method based on frequent co-occurring words. We first employ the Singular Value Decomposition, and then group the words into clusters called word representatives as substitution of the corresponding words in the original documents. Next, we extract the frequent word representative sets by …...

. A large amount of on-line information and lengthiness information can’t fit for the mobile devices. In order to save this problem, we propose a method which collects original news text from on-line information and extracts summary sentences from them automatically. On this basis, we adopt WML(Wireless Markup Language) to …...

. It remains to be a difficult issue to convert Chinese language into Chinese sign language, which makes it hard to implement an obstacle free Chinese sign language information service under pervasive environment. This paper presents an improved algorithm of forward maximum match approach (MM) and backward maximum match approach …...

. De in Chinese relative clauses is commonly analyzed as a complementizer signifying a relative clause. In this paper we argue that De has two roles in RCs. Besides being a relativization marker, which is its basic function, De can also mark the realis state of the event expressed by …...

. In an EBMT system, we will meet the word sense disambiguation problem. The disambiguation methods used at present can’t be used easily in EBMT. We propose a new method for word sense disambiguation in EBMT: it is based on a language mode of the target language. Its main idea …...

. This paper describes the implementation of a Japanese semantic parser based on glue ap- proach. The parser is designed as domain-independent, and produces fully scoped higher-order in- tensional logical expressions, coping with semantically ambiguous sentences without storage mechanism. It is constructed from an English semantic parser on top of …...

. This paper reports a psycholinguistic research for the human intuition on the sense classification. The goal of this research is to find a computational model that fits best with our experiments on human intuition. In this regard, we compare three different computational models; the Boolean model, the probabilistic model, …...

. In this paper, we parse the hierarchy relation of concepts in HowNet, with the parsing we design a concept-sememe tree structure, which can make it easy to understand the relations between the sememes in concepts. The tree structure can easily describe the relationship between sememes in concept and make …...

. Category-based statistic language model is an important method to solve the problem of sparse data. But there are two bottlenecks about this model: (1) the problem of word clustering, it is hard to find a suitable clustering method that has good performance and not large amount of computation. (2) …...

. Topic structures are conventionally classified into two types in Mandarin Chinese, namely dangling and non-dangling topics. The present study concurs that non-dangling topics might be licensed by A’ movement (e.g. Chen 1995), in the sense that they might be interpreted as an operator A’-binding their co-indexed variable, usually an …...

. To make it easier to understand the machine translation evaluation results, a curve is utilized to stand for the performance of a machine translation system. The position of the curve in the graph depicts the quality of the system. The upper left curve stands for higher translation quality. System …...

. Filipino is a changing language that poses several challenges. Our goal is to develop a bidirectional English-Filipino Machine Translation (MT) system using a hybrid approach to learn rules from examples. The first phase was an English to Filipino MT system that required several language resources. The problem lies on …...

. This paper describes a universal concept representational mechanism called E-HowNet, to handle difficulties caused by unknown words in natural language processing. Semantic structures and sense disambiguation of unknown words are discovered by analogy. We intend to achieve that any concept can be defined by E-HowNet and the representation is …...

：The position of noun is replaced by numerous concept types under the system of HNC Theory. Noun is called as a general designation describing objective entity, including type of g、z、r in abstract concepts and p、w、x in concrete concepts. Computers have difficulties in recognizing the relationship of preferential combination in Noun …...