The use of electronic corpora and lexical frequency data in solving translation problems

2002 ◽  
pp. 291-306
Author(s):  
François Maniez
Keyword(s):  
Frequency Data ◽  
Lexical Frequency

scholarly journals Lexical Frequency Analysis of Irish Sign Language

2020 ◽  
Vol 11 ◽  
Author(s):  
Robert G Smith ◽  
Markus Hofmann
Keyword(s):  
American Sign Language ◽  
Sign Language ◽  
Frequency Analysis ◽  
Frequency Data ◽  
Lexical Frequency ◽  
Grammatical Class ◽  
Text Type ◽  
British Sign Language ◽  
Data Frequency ◽  
New Zealand Sign Language

Word frequency has a significant impact on language acquisition and fluency. It is often a point of reference for the teaching and assessing of a language and indeed, as a control for psycholinguistic studies. This paper presents the results of the first objective frequency analysis of lexical tokens from the Signs of Ireland corpus. We investigate the frequency of fully lexical, partly lexical and non-lexical signs in Irish Sign Language as they are presented in the corpus. We confirm the accuracy of the lexical gloss frequency data with a supplementary corpus subset that is tagged for grammatical class and additional insights from previous lexical frequency studies conducted for American Sign Language, Australian Sign Language, British Sign Language and New Zealand Sign Language. This approach has informed us that signers who learn the 100 most frequent signs in Irish Sign Language, will know a third of the language’s vocabulary. This study has found that, in the main, frequency statistics from Irish Sign Language are in line with previous studies and that the text type and annotation strategy can significantly impact results. We found that, without a formalised lexicon, lexical glosses fell short of the requirements for a lexical frequency analysis. However, supported by grammatical class data, frequency data may be reported for symbolic units.

Presenting frequency data in Bayesian tasks: Does everybody benefit?

2004 ◽  
Author(s):  
Katy Long ◽  
James Friedrich
Keyword(s):  
Frequency Data

Profil Pasien Katarak Senilis Pada Usia 40 Tahun Keatas di RSI Siti Rahmah Tahun 2017

2019 ◽  
Vol 1 (1) ◽  
pp. 15-21
Author(s):  
Rada Puspita ◽  
Haves Ashan ◽  
Fidiariani Sjaaf
Keyword(s):  
High School ◽  
Secondary Data ◽  
Study Data ◽  
Vision Impairment ◽  
High School Education ◽  
Frequency Data ◽  
Private Companies ◽  
The World ◽  
Age Range ◽  
Cataract Patients

Vision impairment is estimated to affect 285 million people in the world, where 16-20% experience blindness, from the number of blindness suffered at the age of 40-50 years. Cataract seninis is all lens opacities that are found in old age that is above 40 years. The purpose of identifying and collecting frequency data Profile of Senilis cataract patients at the age of 40 years and above at RSI Siti Rahmah Padang in 2017. The research method is descriptive type of research, this study data taken is secondary data, In this study data was taken from the Medical Record at RSI Siti Rahmah Padang. When the study was conducted in February-August 2018, the population of this study were all cataract patients at the age of 40 years and above at RSI Siti Rahmah Padang in 2017 with 80 samples. Data analysis is univariate presented in the form of a frequency distribution table. Results From 80 respondents as many as 40 people (50%) were in the age range of 60-69 years, as many as 42 people (52.5%) patients were male, as many as 31 people (38.8%) patients with high school education and 35 people (43.8%) patients work as private companies. Conclusion In general, most patients are at the age of 60-69 years, the most sex is men, the highest education is high school and most patients are private.

Business Cycles Analysis of Daegu-Gyeongbuk Province Using Mixed-Frequency Data

2017 ◽  
Vol 35 (1) ◽  
pp. 115-144
Author(s):  
Youngjin Hwang
Keyword(s):  
Business Cycles ◽  
Frequency Data ◽  
Mixed Frequency ◽  
Mixed Frequency Data

Catalog of locations of U.S.G.S. instruments recording low-frequency data in California

1978 ◽  
Author(s):  
William B. Daul ◽  
M.J.S. Johnston
Keyword(s):  
Low Frequency ◽  
Frequency Data

An exploration of prevalence, variety, and frequency data to quantify online sexual activity experience

2017 ◽  
Vol 26 (1) ◽  
pp. 60-75 ◽  
Author(s):  
Krystelle Shaughnessy ◽  
Miranda Fudge ◽  
E. Sandra Byers
Keyword(s):  
Sexual Activity ◽  
Frequency Data

Productive Vocabulary Knowledge of ESL Learners

2018 ◽  
Vol 1 (1) ◽  
pp. 32-41 ◽  
Author(s):  
Abdulmalik Usman ◽  
Dahiru Musa Abdullahi
Keyword(s):  
Teaching And Learning ◽  
English Language ◽  
Vocabulary Knowledge ◽  
Writing Quality ◽  
Lexical Frequency ◽  
Frequency Profile ◽  
Esl Learners ◽  
The Relationship

The paper seeks to investigate the level of productive knowledge of ESL learners, the writing quality and the relationship between the vocabulary knowledge and the writing quality. 150 final year students of English language in a university in Nigeria were randomly selected as respondents. The respondents were asked to write an essay of 300 words within one hour. The essays were typed into Vocab Profiler of Cobb (2002) and analyzed the Lexical Frequency Profile of the respondents. The essays were also assessed by independent examiners using a standard rubric. The findings reveal that the level of productive vocabulary knowledge of the respondents is limited. The writing quality of the majority of the respondent is fair and there is a significant correlation between vocabulary and the witting quality of the subjects. The researchers posit that productive vocabulary is the predictor of writing quality and recommend various techniques through which teaching and learning of vocabulary can be improved.

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