Basic Quantitative Characteristics of the Modern Greek Language Using the Hellenic National Corpus

Mikros, George K.; Hatzigeorgiu, Nick; Carayannis, G.

doi:10.1080/09296170500172478

Cited by 10 publications

(13 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, about 50% of the summed word frequencies were accounted for by words with 4 or fewer letters, leading to the conclusion that the distribution of word length in Greek is compatible with Zipf 's (1949) "principle of least effort." The average word in terms of frequency was found to be 5.7 letters long, comparable to that reported for the HNC (Hatzigeorgiou et al, 2001;Mikros, Hatzigeorgiou, & Karayiannis, 2005).…”

supporting

confidence: 68%

Feedforward, -backward, and neutral transparency measures for Grade 1 and Grade 2 Greek readers

Spencer

Loizidou

Terson

2010

Behavior Research Methods

View full text Add to dashboard Cite

In the present study, orthographic metrics for Greek children's Grade 1 and Grade 2 reading materials were presented. Data for five transparency metrics-three of which being neither feedforward nor feedbackwardwere presented and offered for use in the research of children's reading and spelling acquisition. The analysis demonstrated the complex relationships between metrics and compared the results with those obtained for the English language. The structure of these metrics from a variety of corpus sizes was investigated, and we concluded that large corpus sizes do not necessarily make a substantial contribution to the value of such metrics when compared with smaller samples.

show abstract

supporting

confidence: 68%

Feedforward, -backward, and neutral transparency measures for Grade 1 and Grade 2 Greek readers

Spencer

Loizidou

Terson

2010

Behavior Research Methods

View full text Add to dashboard Cite

show abstract

“…So far, the only published frequency norms for Modern Greek correspond to GreekLex, a database recently created by Ktori et al (2008) containing more than 35,000 different entries taken from a 47 million-word corpus of written texts (Hellenic National Corpus; HNC, Mikros et al, 2001; Hatzigeorgiu et al, 2005). The earliest sources on which the HNC is based date from 1990 and were mainly gathered from newspapers (61.3%), books (9.4%) periodicals (5.9%) and other written texts (23.1%) covering a relatively large variety of topics.…”

Section: Introductionmentioning

confidence: 99%

Subtitle-Based Word Frequencies as the Best Estimate of Reading Behavior: The Case of Greek

Dimitropoulou¹,

Duñabeitia²,

Avilés³

et al. 2010

Front. Psychology

View full text Add to dashboard Cite

Previous evidence has shown that word frequencies calculated from corpora based on film and television subtitles can readily account for reading performance, since the language used in subtitles greatly approximates everyday language. The present study examines this issue in a society with increased exposure to subtitle reading. We compiled SUBTLEX-GR, a subtitled-based corpus consisting of more than 27 million Modern Greek words, and tested to what extent subtitle-based frequency estimates and those taken from a written corpus of Modern Greek account for the lexical decision performance of young Greek adults who are exposed to subtitle reading on a daily basis. Results showed that SUBTLEX-GR frequency estimates effectively accounted for participants’ reading performance in two different visual word recognition experiments. More importantly, different analyses showed that frequencies estimated from a subtitle corpus explained the obtained results significantly better than traditional frequencies derived from written corpora.

show abstract

“…Comparison of different truly human languages arising from apparently different origins or containing different signs has also been made, e.g. beside english, one can find references about greek [20,21,22], turkish [23], chinese [24], ... "Linguistic time series" have often studied at a letter or word level [25,26,27,28] or as in Montemurro and Pury [27,28] at a frequency mapping, similar though not identical to the one described below. Others have considered Zipf law(s) at the sentence level [29,30], -a few sometimes strangely neglecting the punctuation [31,32].…”

Section: Introductionmentioning

confidence: 99%

Equilibrium and dynamic methods when comparing an English text and its Esperanto translation

Ausloos¹

2008

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

A comparison of two english texts from Lewis Carroll, one (Alice in wonderland), also translated into esperanto, the other (Through a looking glass) are discussed in order to observe whether natural and artificial languages significantly differ from each other. One dimensional time series like signals are constructed using only word frequencies (FTS) or word lengths (LTS). The data is studied through (i) a Zipf method for sorting out correlations in the FTS and (ii) a Grassberger-Procaccia (GP) technique based method for finding correlations in LTS. Features are compared : different power laws are observed with characteristic exponents for the ranking properties, and the phase space attractor dimensionality. The Zipf exponent can take values much less than unity (ca. 0.50 or 0.30) depending on how a sentence is defined. This non-universality is conjectured to be a measure of the author style. Moreover the attractor dimension r is a simple function of the so called phase space dimension n, i.e., r = n λ , with λ = 0.79. Such an exponent should also conjecture to be a measure of the author creativity. However, even though there are quantitative differences between the original english text and its esperanto translation, the qualitative differences are very minutes, indicating in this case a translation relatively well respecting, along our analysis lines, the content of the author writing.

show abstract

Basic Quantitative Characteristics of the Modern Greek Language Using the Hellenic National Corpus

Cited by 10 publications

References 13 publications

Feedforward, -backward, and neutral transparency measures for Grade 1 and Grade 2 Greek readers

Feedforward, -backward, and neutral transparency measures for Grade 1 and Grade 2 Greek readers

Subtitle-Based Word Frequencies as the Best Estimate of Reading Behavior: The Case of Greek

Equilibrium and dynamic methods when comparing an English text and its Esperanto translation

Contact Info

Product

Resources

About