Modeling Lemma Frequency Bands for Lexical Complexity Assessment of Russian Texts

Переведенное название: Моделирование зон частотного словаря для оценки лексической сложности русских текстов

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийглава/разделрецензирование

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Аннотация

The paper is devoted to the problem of modeling general-language frequency using data of large Russian corpora. Our goal is to develop a methodology for forming a consolidated frequency list which in the future can be used for assessing lexical complexity of Russian texts. We compared 4 frequency lists developed from 4 corpora (Russian National Corpus, ruTenTen11, Araneum Russicum III Maximum, Taiga). Firstly, we applied rank correlation analysis. Secondly, we used the measures “coverage” and “enrichment”. Thirdly, we applied the measure “sum of minimal frequencies”. We found that there are significant differences between the compared frequency lists both in ranking and in relative frequencies. The application of the “coverage” measure showed that frequency lists are by no means substitutable. Therefore, none of the corpora in question can be excluded when compiling a consolidated frequency list. For a more detailed comparison of frequency lists for different frequency bands, the ranked frequency list, based on RNC data, was divided into 4 equal parts. Then 4 random samples (containing 20 lemmas from each quartile) were formed.
Due to the wide range of values, accepted by ipm measure, relative frequency values are difficult to interpret. In addition, there are no reliable thresholds separating high-frequency, mid-frequency, and low-frequency lemmas. Meanwhile, to assess the lexical complexity of texts, it is useful to have a convenient way of distributing lemmas with certain frequencies over the bands of the frequency list. Therefore, we decided to assign lemmas “Zipf-values”, which made the frequency data interpretable because the range of measure values is small.
The result of our work will be a publicly accessible reference resource called “Frequentator”, which will allow to obtain interpretable information about the frequency of Russian words.
Переведенное названиеМоделирование зон частотного словаря для оценки лексической сложности русских текстов
Язык оригиналаанглийский
Название основной публикацииComputational Linguistics and Intellectual Technologies
Подзаголовок основной публикацииProceedings of the International Conference “Dialogue 2020”, Moscow, June 17–20, 2020
РедакторыВ.П. Селей
Место публикацииМ.
Страницы76-92
Число страниц17
Том19(26)
СостояниеОпубликовано - 2020
СобытиеDIALOGUE-2020: компьютерная лингвистика в формате цифровых дискуссий - Москва, Российская Федерация
Продолжительность: 17 июн 202020 июн 2020

Серия публикаций

НазваниеКомпьютерная лингвистика и интеллектуальные технологии
ИздательРоссийский государственный гуманитарный университет
ISSN (электронное издание)2075-7182

конференция

конференцияDIALOGUE-2020: компьютерная лингвистика в формате цифровых дискуссий
СтранаРоссийская Федерация
ГородМосква
Период17/06/2020/06/20

Ключевые слова

  • linguistic corpora
  • lemma frequency lists
  • general-language frequency
  • frequency bands
  • low-frequency words
  • lexical complexity

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