To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documents. As a result, documents are ordered in a list by decreasing correspondance to the request. Several comparison measures are used in the field and it is difficult to choose one or another. In this paper, we show that they can ...

In this paper we describe a query paradigm based on ontologies, aggregate table-driven querying and expansion of QBE. It has two novel features: visually specifying aggregate table queries and table layout in a single process, and providing users with an ontology guide in composing complex analysis tasks as queries. We present the role of the fundamental concept of ontology in the context of th...

Processing of multi-word expressions (MWEs) is a known problem for any natural language processing task. Even neural machine translation (NMT) struggles to overcome it. This paper presents results of experiments on investigating NMT attention allocation to the MWEs and improving automated translation of sentences that contain MWEs in English→Latvian and English→Czech NMT systems. Two improvemen...

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This paper proposes a new approach for Multi-word Expression (MWE)extraction on the motivation of gene sequence alignment because textual sequence is similar to gene sequence in pattern analysis. Theory of Longest Common Subsequence (LCS) originates from computer science and has been established as affine gap model in Bioinformatics. We perform this developed LCS technique combined with linguis...

Multi-word expressions (MWEs) play an important role in all tasks that involve natural language processing. MWEs in Hindi are quite varied and many of these are of the types that are not encountered in English. In this paper, we examine different types of MWEs encountered in Hindi. Many of these have not received adequate attention of investigators. For example, ‘vaalaa’ constructs, doublets (w...

Our project is based on the theme of Multi Word Expressions (MWE) we will focus on the problem of extraction. This task is important for improving lexical resources used for tasks such as tokenization, parsing or translation. In our study we will work on a French corpus. Our aim will be to not only select but also validate automatically which candidates are the true ones. If we have time we wil...

Syntagmatic fixedness is an important feature of multi-word expressions (MWE). However, syntagmatic fixedness is gradual and various semantic and syntactic relations hold among the parts of MWEs. This poses intriguing problems for lexicography, linguistic description and language processing. In this paper we propose a computationally inexpensive and intuitive approach to the measurement of synt...

Multi-Word Expressions (MWEs) are prevalent in text and are also, on average, less polysemous than mono-words. This suggests that accurate MWE detection should lead to a nontrivial improvement in Word Sense Disambiguation (WSD). We show that a straightforward MWE detection strategy, due to Arranz et al. (2005), can increase a WSD algorithm’s baseline f-measure by 5 percentage points. Our measur...

many commonly used statistical methods require that the population distribution be nearly normal. unfortunately, in some papers the one-sample kolmogorov-smirnov test has been used for testing normality while the assumptions of applying this test are not satisfied. to conduct this test, it is assumed that the population distribution is fully specified. in practical situation where the mean and ...