Collocation is a popular method in geodesy for combining heterogeneous data of different kind. It comprises adjustment, interpolation and extrapolation as special cases. Current methods of collocation apply however only if the trend parameters are real valued. In the present contribution we will generalize the theory of collocation by permitting the trend parameters to be integer valued. It wil...

This paper presents the design and construction of an annotated Chinese collocation bank as the resource to support systematic research on Chinese collocations. With the help of computational tools, the bi-gram and n-gram collocations corresponding to 3,643 headwords are manually identified. Furthermore, annotations for bi-gram collocations include dependency relation, chunking relation and cla...

In this paper we present a new method of automatic collocation identification. Collocation is an important relation between words, which is widely used, among others, in information retrieval tasks. Over the last years, many methods of automatic collocation acquisition from text corpora have been proposed. The approach described in this paper differs from the others by focusing on domain colloc...

Studies on language learning have revealed that collocation knowledge is an important indicator for advanced second language competence. Native speakers' production relies heavily on prefabricated or pre-made chunks such as collocations, which save processing load to achieve language fluency and accuracy. Previous investigation on ESL and EFL students indicated that nonnative learners' collocat...

This paper presents a corpus{based approach to word sense disambiguation that combines a number of Naive Bayesian classiers into an ensemble that performs disambiguation via a majority vote. Each of the member classiers is based on collocation and co{occurrence features found in varying sized windows of context. This approach is motivated by the observation that, in general, enhancing the featu...

The paper presents a novel approach to extracting dependency information in morphologically rich languages using co-occurrence statistics based not only on lexical forms (as in previously described collocation-based methods), but also on morphosyntactic and wordnet-derived semantic properties of words. Statistics generated from a corpus annotated only at the morphosyntactic level are used as fe...

In this paper we present KX, a system for keyphrase extraction developed at FBK-IRST, which exploits basic linguistic annotation combined with simple statistical measures to select a list of weighted keywords from a document. The system is flexible in that it offers to the user the possibility of setting parameters such as frequency thresholds for collocation extraction and indicators for keyph...

In this contribution we will argue that negative polarity is a collocational phenomenon that does not follow from other properties of the respective lexical elements. With German data as evidence, we will follow a proposal by van der Wouden and treat Negative Polarity Items (NPIs) as collocates which must be licensed by abstract semantic properties of their contexts. Using a collocation module ...

This paper reports the results of Natural Language Processing (NLP) experiments in semantic parsing, based on a new semantic resource, the Pattern Dictionary of English Verbs (PDEV) (Hanks, 2013). This work is set in the DVC (Disambiguating Verbs by Collocation) project aimed at expanding PDEV to a large scale. This project springs from a long-term collaboration of lexicographers with computer ...

We present an adaptation for the French text mining challenge (DEFT 2012) of the KX system for multilingual unsupervised key-concept extraction. KX carries out the selection of a list of weighted keywords from a document by combining basic linguistic annotations with simple statistical measures. In order to adapt it to the French language, a French morphological analyzer (PoS-Tagger) has been a...