On the Syllabic Similarities of Romance Languages

Dinu, Anca; Dinu, Liviu P.

doi:10.1007/978-3-540-30586-6_88

Cited by 23 publications

(12 citation statements)

References 3 publications

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“…• RD: The rank distance (Dinu and Dinu, 2005) is used to measure the similarity between two ranked lists. A ranking of a set of n objects can be represented as a permutation of the integers 1, 2, ..., n. Let S be a set of ranking results, σ S. σpiq represents the rank of object i in the ranking result σ.…”

Section: Linguistic Distancesmentioning

confidence: 99%

An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian

Ciobanu¹,

Dinu²

2014

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Section: Linguistic Distancesmentioning

confidence: 99%

An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian

Ciobanu¹,

Dinu²

2014

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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“…Rank distance (Dinu and Dinu, 2005) is a metric used for measuring the similarity between two ranked lists. A ranking of a set of n objects can be represented as a permutation of the integers 1, 2, ..., n. S is a set of ranking results, σ ∈ S. σ(i) represents the rank of object i in the ranking result σ.…”

Section: Rank Aggregationmentioning

confidence: 99%

A Quantitative Insight into the Impact of Translation on Readability

Ciobanu¹,

Dinu²

2014

Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR)

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In this paper we investigate the impact of translation on readability. We propose a quantitative analysis of several shallow, lexical and morpho-syntactic features that have been traditionally used for assessing readability and have proven relevant for this task. We conduct our experiments on a parallel corpus of transcribed parliamentary sessions and we investigate readability metrics for the original segments of text, written in the language of the speaker, and their translations.

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“…Rank distance [4] is an ordinal metric able to compare different rankings of a set of objects. It is tightly related to the Spearman's footrule [3], and it had already been successfully used in computational linguistics, in such problems as the similarity of Romance languages [5], or in computational biology, in DNA sequence comparison problem [7]. Downloaded by [University of Kent] at 05:04 14 October 2014…”

Section: Applicationmentioning

confidence: 99%

From rankings’ collinearity to counting SDR's via chromatic list expression

Dinu

Tomescu

2009

International Journal of Computer Mathematics

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The problem of counting rankings satisfying the collinearity condition with respect to two rankings over the metric spaces of rank distance is treated in this paper by transforming it into finding the number of systems of distinct representatives (abbreviated as SDR's) with respect to associated set systems. A formula for the chromatic list expression of graphs is then given in terms of the inclusion and exclusion principle, followed by a formula for the number of SDR's of set systems when the graphs are complete.

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On the Syllabic Similarities of Romance Languages

Cited by 23 publications

References 3 publications

An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian

An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian

A Quantitative Insight into the Impact of Translation on Readability

From rankings’ collinearity to counting SDR's via chromatic list expression

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