A Structural Similarity Measure
نویسندگان
چکیده
This paper outlines a measure of language similarity based on structural similarity of surface syntactic dependency trees. Unlike the more traditional string-based measures, this measure tries to reflect “deeper” correspondences among languages. The development of this measure has been inspired by the experience from MT of syntactically similar languages. This experience shows that the lexical similarity is less important than syntactic similarity. This claim is supported by a number of examples illustrating the problems which may arise when a measure of language similarity relies too much on a simple similarity of texts in different languages.
منابع مشابه
A Novel Image Structural Similarity Index Considering Image Content Detectability Using Maximally Stable Extremal Region Descriptor
The image content detectability and image structure preservation are closely related concepts with undeniable role in image quality assessment. However, the most attention of image quality studies has been paid to image structure evaluation, few of them focused on image content detectability. Examining the image structure was firstly introduced and assessed in Structural SIMilarity (SSIM) measu...
متن کاملA novel method for detecting structural damage based on data-driven and similarity-based techniques under environmental and operational changes
The applications of time series modeling and statistical similarity methods to structural health monitoring (SHM) provide promising and capable approaches to structural damage detection. The main aim of this article is to propose an efficient univariate similarity method named as Kullback similarity (KS) for identifying the location of damage and estimating the level of damage severity. An impr...
متن کاملخوشهبندی فراابتکاری اسناد فارسی اِکساِماِل مبتنی بر شباهت ساختاری و محتوایی
Due to the increasing number of documents, XML, effectively organize these documents in order to retrieve useful information from them is essential. A possible solution is performed on the clustering of XML documents in order to discover knowledge. Clustering XML documents is a key issue of how to measure the similarity between XML documents. Conventional clustering of text documents using a do...
متن کاملNew Structural Similarity Measure for Image Comparison
Subjective quality measures based on Human Visual System for images do not agree well with well-known metrics such as Mean Squared Error and Peak Signal to Noise Ratio. Recently, Structural Similarity Measure (SSIM) has received acclaim due to its ability to produce results on a par with Human Visual System. However, experimental results indicate that noise and blur seriously degrade the perfor...
متن کاملA new similarity measure between type-2 fuzzy numbers and fuzzy risk analysis
In this paper, we present a revised similarity measure based onChen-and-Chen's similarity measure for fuzzy risk analysis. The revisedsimilarity measure uses the corrected formulae to calculate the centre ofgravity points, therefore it is more effective than the Chen-and-Chen'smethod. The revised similarity measure can overcome the drawbacks of theexisting methods. We have also proposed a new ...
متن کامل