Articles

. The automatic alignment of parallel corpora is a very rich source of information for automatic translation, multilingual document indexing, information retrieval, etc. The rapid growth of the use of “ minority ” languages in online documents makes it necessary to develop methods that can easily adapt to any language. …...

. Word segmentation for Vietnamese, like for most Asian languages, is an important task which has a significant impact on higher language processing levels. However, it has received little attention of the community due to the lack of a common annotated corpus for evaluation and comparison. Also, most previous studies …...

. How to improve the rankings of the relevant documents plays a key role in information retrieval. In this paper, a re-ranking approach based on topic words pair is proposed to improve precision while recall is preserved. The topic word pairs contain two correlated words, one of which is the …...

. This paper deals with the topic-comment articulation of information structures conveyed by sentences. In Japanese, the topic marker WA is attached not only to an N(P) but also to a PP or a clause, forming the information structure of a sentence, where the topicalized part represents a restriction and …...

. There have been heated debates on whether tense markers in Korean are inflectional affixes or syntactic words. One of the strongest pieces of evidence for the latter position comes from tense-related phenomena in -ko constructions. These constructions are usually assumed to consist of two coordinate clauses. In this paper, …...

. This paper analyses anaphora from the view of concept association vein. It probes into the problem of sentence semantic chunk share based on the sentence category expression of HNC theory. Firstly, the chunks share is divided into two kinds, one is sharing in a sentence where there is chunk …...

: 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 …...

. We explore the possibility of deeper linguistic research based on corpus and computational linguistic tools in this paper. In particular, we adopt Chinese Word Sketch, the application of Word Sketch Engine to Chinese GigaWord Corpus, for linguistic research. We apply Chinese Sketch Engine results to deeper linguistic account such …...

. This paper presents a computational analysis within the framework of a type grammar for the treatment of Japanese particles. In Japanese, particles express a number of functional relations; they follow a word to indicate its relationship to other words in a sentence, and/or give that word a particular meaning. …...

. Bilingual Named Entity Extraction is important to some cross language information processes such as machine translation (MT), cross-lingual information retrieval (CLIR), etc. A lot of previous work extracted bilingual Named Entities from parallel corpus. Here we propose a multi- feature based method to extract bilingual Named Entities from comparable …...

This paper discusses the implementation of a knowledge-rich approach to automatic acquisition of grammatical information. Our study is based on Word Sketch Engine (Kilgarriff and Tudgell 2002). The original claims of WSE are two folded: that linguistic generalizations can be automatically extracted from a corpus with simple collocation information provided …...

. We propose an information retrieval method based on question identification. We have implemented and integrated a prototype Chinese speech IR system for a commercial PDA with this method for questions concerning mobile phone operations. A preliminary evaluation showed that our method is effective. In the evaluation, our method outperformed …...

. This paper presents a hybrid method for extracting Chinese noun phrase collocations that combines a statistical model with rule-based linguistic knowledge. The algorithm first extracts all the noun phrase collocations from a shallow parsed corpus by using syntactic knowledge in the form of phrase rules. It then removes pseudo …...

. In this paper we present an approach to mining domain-dependent ontologies using term extraction and relationship discovery technology. There are two main innovations in our approach. One is extracting terms using log-likelihood ratio, which is based on the contrastive probability of term occurrence in domain corpus and background corpus. …...

. Knowledge is most often and directly expressed with natural language. Therefore, the representation and acquisition of knowledge play a key role in studies on information processing and natural language interpretation. Also, they are the principal issues in establishing a knowledge database. Only highly formalized descriptive systems or knowledge databases …...

. This paper is concerned with Chinese word segmentation, which is regarded as a character based tagging problem under conditional random field framework. It is different in our method that we consider both feature template selection and tag set selection, instead of feature template focused only method in existing work. …...

. This paper presents a Chinese dependency syntax for treebanking. The syntax contains 13 word classes and 34 dependency types. A format of treebank based on the syntax is also proposed for the applications of computational and general linguistic research. Some experiments show that the treebank based on the proposed …...

. We propose a new method to integrate multiple speech translation systems based on user interface-level integration. Users can select the result of free-sentence speech translation or that of registered sentence translation without being conscious of the configuration of the automatic speech translation system. We implemented this method on a …...

: Automatic term extraction is the first step towards automatic or semi-automatic update of existing domain knowledge base. Most of the researches applied word segmentation as a preproc- essing step to Chinese term extraction. However, segmentation ambiguity is unavoidable, especially in identifying unknown words for Chinese. In this paper, we …...

. This paper presents and evaluates an original approach to automatically align bitexts at the word level. It relies on a syntactic dependency analysis of the texts and uses a machine- learning technique, namely inductive logic programming, to automatically infer rules called propagation rules. These rules make the most of …...