To automatically extract Chinese collocations and build a large-scale collocation bank, we are developing a one-million-word Chinese shallow parsed treebank. The treebank can be used not only as a training set for our shallow parser, but also as processed data from which collocations are extracted. This paper presents several issues related to this on-going project, such as our definition of sh...

This article presents the evaluation of a valence dictionary for Polish produced with the help of shallow parsing techniques and compares those results to earlier results involving deep parsing. We show that the valence dictionary obtained with the use of shallow parsing attains higher quality when it is measured on the basis of a corpus of valence frames, while the dictionary produced with the...

In this paper we describe how we have adapted the syntactic analyzer of written Estonian to the spoken language. The Constraint Grammar shallow syntactic parser (Müürisep et al. 2003) was used for the automatic syntactic analysis of the corpus of Estonian spoken language (Hennoste et al. 2000). To adapt the parser, the clause boundary detection rules as well as some syntactic constraints had to...

In this paper we consider the problem of analysing sentence-level discourse structure. We introduce discourse chunking (i.e., the identification of intra-sentential nucleus and satellite spans) as an alternative to full-scale discourse parsing. Our experiments show that the proposed modelling approach yields results comparable to state-of-the-art while exploiting knowledge-lean features and sma...

This paper is concerned with state space problem solvers that achieve generality by learning strong heuristics through experience in a particular domain. We specif ically consider two ways of learning by analysing past solutions that can improve future problem solving: creating macros and the chunks. A method of learning search heuristics is specified which is related to 'chunking' but which co...

This paper employs one-dimensional numerical ground response analysis models to investigate seismic response of shallow cohesive and non-cohesive soil deposits on vertical propagation of horizontal shear waves. Soil response is modelled by traditional equivalent-linear (EL) frequency-domain analysis using DEEPSOIL software and nonlinear (NL) time-domain analysis using OPENSEES software. The ana...

Chunking is segmenting a text into chunks, sub-sentential segments, that Abney approximately defined as stress groups. Chunking usually uses monolingual resources, most often exhaustive, sometimes partial : function words and punctuations, which often mark beginnings and ends of chunks. But, to extend this method to other languages, monolingual resources have to be multiplied. We present a new ...

As described in this paper, we propose a new automatic evaluation method for machine translation using noun-phrase chunking. Our method correctly determines the matching words between two sentences using corresponding noun phrases. Moreover, our method determines the similarity between two sentences in terms of the noun-phrase order of appearance. Evaluation experiments were conducted to calcul...

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 ...