KR20080024250A - A method of making vocabulary with the calculated counts of words - Google Patents

A method of making vocabulary with the calculated counts of words Download PDF

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KR20080024250A
KR20080024250A KR1020060088335A KR20060088335A KR20080024250A KR 20080024250 A KR20080024250 A KR 20080024250A KR 1020060088335 A KR1020060088335 A KR 1020060088335A KR 20060088335 A KR20060088335 A KR 20060088335A KR 20080024250 A KR20080024250 A KR 20080024250A
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words
frequency
vocabulary
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word
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이석호
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이석호
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    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
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Abstract

A method for composing a dictionary type vocabulary in orders of frequency numbers in use and a dictionary-type vocabulary are provided to enhance a learning effect by classifying and grouping words. A method for composing a dictionary type vocabulary in orders of frequency in use includes a process for preferentially learning frequent words in a corresponding foreign language. In the preferentially learning process, frequency numbers of words for composing a particular sentence are produced. The frequency numbers of the words are displayed at left sides of the words. A word book is formed by arranging the words in orders of the frequency numbers of the words or in inverse orders of the frequency numbers of the words.

Description

단어의 빈출 수에 따른 단어집 구성 방식{A method of making vocabulary with the calculated counts of words}A method of making vocabulary with the calculated counts of words}

제1도는 본 발명에 따른 단어집 구성의 일례로서, 사용횟수 2회인 경우의 영어 단어집1 is an example of the configuration of the vocabulary according to the present invention, the English vocabulary in the case of two uses

제2도는 사용횟수 13회인 경우의 영어 단어집Figure 2 is an English vocabulary for 13 uses

본 발명은 특정의 문장을 구성하는 단어의 빈출 수를 산출하여 단어의 사용 빈도순에 따라 단어집을 구성하는 어학 학습 분야에 해당한다. 따라서 해당 언어의 어근, 어미, 어원, 의미, 각종 시험의 출제 빈도 등을 기준으로 단어집 저작자가 임의로 단어를 추출하여 단어집을 구성하는 기존의 방식을 탈피한다.The present invention corresponds to the field of language learning that calculates the frequency of occurrence of words constituting a particular sentence and forms a vocabulary according to the frequency of use of the words. Therefore, based on the root, the mother, the etymology, the meaning of the language, the frequency of the various test questions, the author of the word vocabulary deviates from the existing method of constructing the word vocabulary by randomly extracting words.

전자화된 문서의 단어 횟수 산출 기능을 지원하는 소프트웨어를 개발하여 사용자의 이용 편의성을 높인다. 이를 통해 언어 학습자의 단어 분석 능력을 향상시키고, 관련 분야의 사용자에 있어서는 기초 자료로서의 활용 가능성을 높일 수 있도록 한다.Software that supports word counting function of electronic documents is developed to improve user's convenience. Through this, language learners' ability to analyze words is improved, and users in related fields can be used as basic materials.

본 발명은 회화체 및 서술문을 구성하는 단어의 빈출 순위에 따라 단어집을 구성함으로써, 단어 선정시 단어집 저작자의 주관을 배제하고, 시사성 및 시험 출제 빈도가 아닌 실제로 자주 사용되는 단어에 중점을 두도록 한다. 따라서 단어집 구성시 회화체를 그 대상으로 하는 경우는 학습자의 말하기와 듣기 능력을, 신문, 잡지를 포함한 서술문을 대상으로 하는 경우에는 쓰기와 읽기 능력을 증대시킨다.The present invention configures a wordbook according to the frequency of occurrence of words constituting the conversational phrase and the descriptive sentence, thereby excluding subjectivity of the author of the wordbook at the time of word selection, and focuses on the words that are frequently used rather than topicality and the frequency of test questions. Therefore, when constructing a vocabulary, the students' speaking and listening skills are increased, and the writing and reading skills are increased when the articles including newspapers and magazines are used.

본 발명은 1차적 카운팅 (counting)과 2차적 그룹핑 (grouping)으로 구분한다. 1차적 카운팅의 경우 특정 문장을 구성하는 단어의 빈출 수를 산출하여 그 빈출 수에 따라, 또는 역순으로 단어를 종축에 정렬한다. 대표도에 제시된 단어들은 영화 부문 (영어) 100편을 분석하여 카운팅, 정렬한 것이며, 각 단어의 우측에 기입된 숫자는 빈출 수를 의미한다. 대표도에서는 영어의 명사, 동사, 형용사, 부사 형태는 물론, 원형 동사의 진행형, 과거형, 과거 분사형도 하나의 단어로 간주하여 카운팅했다. 특히 영어 영역의 경우 원형 동사의 진행형, 과거형, 과거 분사형을 각각 별개의 단어로 간주, 카운팅함으로써, 영어를 모국어가 아닌 제2 외국어로 사용하는 학습자들이 간과하기 쉬운 자동사의 활용 능력을 향상시키고, 원형 동사보다 진행형 또는 과거 분사형태로 더 많이 사용되는 단어들을 주의해서 학습할 수 있도록 했다.The present invention is divided into primary counting and secondary grouping. In the case of primary counting, the number of frequency of words constituting a specific sentence is calculated and the words are aligned on the vertical axis according to the frequency of frequency of occurrence or in reverse order. The words presented in the diagram are counted and sorted by analyzing 100 films (English), and the number on the right of each word represents the frequency of frequency. Representative figures counted English nouns, verbs, adjectives, adverbs, as well as progressive, past, and past participles of prototype verbs. Particularly, in the English domain, by counting and counting the progressive, past and past participles of the prototype verb as separate words, it is possible to improve the ability of the intransitive verbs that are easy to be overlooked by learners who use English as a second language rather than their native language. This allows students to carefully learn words that are used more often in the form of progressive or past participle than verbs.

그리고 관련 파생어 또는 상호 유사한 의미를 지니는 단어들을 한데 분류하여 1차적으로 카운팅된 단어의 학습 자료로서의 유용성 및 단어 선택에 있어서의 객관성을 높이기 위한 2차적 그룹핑 과정이 있다. 2차적 그룹핑은 1차적 카운팅, 정렬 과정을 거쳐 검출된 단어들을 토대로 파생어 및 유사한 의미를 지닌 단어들을 횡축에 나열하여 대표성을 지닌 표제어를 각 행의 맨 좌측에, 그리고 관련 단어를 우측에 나열하는 과정이다. 단어의 그룹핑을 통해 각 단어의 빈출 수를 상호 비교하여 동일 단어군 내에서 빈출 수가 많은 단어들을 우선적으로 암기, 활용할 수 있도록 하며, 학습자의 단어 연상 및 암기 능력을 증대시킨다.In addition, there is a secondary grouping process for classifying words having related derivatives or mutually similar meanings together to increase the usefulness of the first counted words as learning materials and objectivity in word selection. Secondary grouping is the process of arranging derivatives and similarly-meaning words on the horizontal axis based on the words detected through the primary counting and sorting process to list representative headwords on the leftmost side of each line and related words on the right side. to be. By grouping the words, the frequency of each word is compared with each other so that the words with a high number of frequency in the same word group can be memorized and utilized preferentially, and learner's ability to associate and memorize the words is increased.

이때 단어 그룹을 이루는 단어들의 사용횟수를 합산한 총 사용횟수와 관련 단어 그룹 없이 표제어 단독으로만 사용된 단어의 사용 횟수에 동일한 가중치를 부여했다. 이를 통해 표제어와 사용 빈도수와 상관없이 형용사, 부사 등의 파생 단어, 또는 단어의 의미나 철자, 발음상 유사한 단어들도 주의하여 학습할 수 있도록 했다.At this time, the same weight is given to the total number of use of the words forming the word group and the number of use of the words used only by the headword alone without the related word group. This allows students to carefully learn derived words such as adjectives and adverbs, or similar words in terms of their meaning, spelling, and pronunciation, regardless of headword and frequency of use.

본 발명에 의해 단어집을 구성하는 경우의 효과는 크게 특정 언어의 특정한 문장을 구성하는 단어의 카운팅에 의한 것과, 카운팅 및 정렬한 단어들을 각 행의 횡축에 나열하는 그룹핑에 의한 효과로 나눌 수 있다.According to the present invention, the effect of constructing a wordbook can be largely divided into counting of words constituting a specific sentence of a specific language and grouping of counting and sorting words on the horizontal axis of each row.

우선 본 발명은 특정의 문장에 사용된 단어 횟수를 산출함으로써, 실질적으로 많이 사용하는 단어를 순서대로 정렬하여 사용 횟수에 따라 중요성을 가늠할 수 있도록 한다. 따라서 단어집 구성시 저자는 어휘 선정에 있어서 단어와 사용 횟수를 하나의 객관적인 자료로 활용할 수 있다. 또한 자국어 및 외국어 학습자는 시험 중심의 단어 학습 방법에서 탈피하여 각 언어의 구어체나 문어체에서 실제로 많이 사용하는 단어들을 학습자들이 우선 학습할 수 있도록 한다.First, the present invention calculates the number of words used in a specific sentence, so that the words that are used frequently are arranged in order so that the importance can be measured according to the number of times of use. Therefore, when constructing a vocabulary, the author can use words and the number of times as one objective material in selecting vocabulary. In addition, native language and foreign language learners can escape from the test-centered word learning method so that learners can learn the words that are actually used a lot in spoken or written language of each language.

특히 단어들을 사용 횟수에 따라 종축에 정렬함으로써 단어의 사용 빈도에 의한 레벨화가 가능해 진다. 즉, 빈출 수가 적은 단어들은 일반적으로 흔히 사용하지 않거나 난이도가 높은 전문용어, 속어 등으로 구성되며, 빈출 수가 많은 단어들은 언어 사용자의 교육 수준에 관계없이 공통적으로 널리 사용되는 난이도가 비교적 낮은 특성을 지니고 있기 때문에, 빈출 수에 따라 초급, 중급, 고급 단어로 등급화하여 활용할 수 있다. 일례로 제1도에 표기된 단어들은 고급, 제2도에 표기된 단어들은 중급 단어로 분류하여 활용할 수 있다. 따라서 단어를 중심으로 외국어를 학습하고자 하는 초보자들도 빈출 수가 많은 단어들을 우선 학습할 수 있다.In particular, by aligning the words on the vertical axis according to the number of times of use, leveling by the frequency of use of the words becomes possible. That is, words with low frequency of occurrence are generally composed of terminology, slang, etc. which are not commonly used or have difficulty, and words with high frequency of occurrence have a relatively low level of difficulty which is widely used regardless of the education level of language users. Therefore, depending on the frequency of frequency can be used to grade the beginner, intermediate, and advanced words. For example, words shown in FIG. 1 may be classified into high grade words and words shown in FIG. 2 may be classified as intermediate words. Therefore, even beginners who want to learn a foreign language centered on words can first learn words with a high number of frequent occurrences.

그리고 특정의 문장을 구성하는 단어의 사용 횟수를 카운팅하여 단어집을 구성하는 방식은 모든 언어에 적용 가능하다는 것이 최대의 장점이라 할 수 있다. 즉 대표도에서 제시되는 영화 부문, 영어뿐만 아니라 인간이 사용하는 모든 언어를 대상으로 사용 영역별, 상황별로 단어의 빈출 수를 산출하여 단어집을 구성할 수 있다. 따라서 특정 언어에 대한 전문적인 지식 없이도 학습자 및 단어집 구성자는 기초적 학습 자료로서의 단어집을 구성할 수 있다.The maximum advantage is that the method of constructing a vocabulary by counting the number of times the words constituting a specific sentence can be applied to all languages. In other words, it is possible to compose a vocabulary by calculating the frequency of words by use area and situation for all languages used by human beings as well as in the film sector and English presented in the representative map. Thus, learners and vocabulary organizers can construct vocabulary as basic learning materials without specialized knowledge of specific language.

단어의 2차적 그룹핑에 의한 효과를 간단히 기술하면 다음과 같다. 전술한 바와 같이 관련 파생어 또는 상호 의미가 유사한 단어들을 한데 분류하여 그룹핑함으로써 학습자들이 표제어를 비롯한 관련 단어들을 서로 비교하여 학습, 암기할 수 있도록 한다. 따라서 학습자는 단어의 암기 능력 및 연상 효과를 증대시킬 수 있고, 동일한 단어 그룹 내에서 사용 횟수가 많은 단어들을 우선 학습할 수 있다.A simple description of the effect of secondary grouping of words is as follows. As described above, groups of related derivatives or similar words are classified and grouped together so that learners can learn and memorize the related words including the headwords. Therefore, the learner can increase the memorization ability and associative effect of the word, and can first learn the words that are frequently used in the same word group.

Claims (2)

자국어를 비롯해서 외국어를 학습하고자 하는 언어 학습자가 해당 언어에서 자주 사용되는 단어들을 우선적으로 학습할 수 있도록, 특정 문장을 구성하는 단어의 빈출 수를 산출하여 그 빈출 수를 각 단어의 좌측에 표기하고 빈출 수에 따라, 또는 역순으로 단어를 종축으로 정렬하여 단어집을 구성하는 방식.In order for a language learner who wants to learn a foreign language, including a native language, to preferentially learn words frequently used in the language, the frequency of the words constituting a specific sentence is calculated, and the frequency is displayed on the left side of each word. A way of organizing a vocabulary by sorting words vertically by number, or in reverse order. 파생어 및 관련 단어를 상호 비교하여 빈출 수가 많은 단어들을 학습자들이 우선적으로 학습할 수 있도록 하고 아울러 단어 연상 및 암기 능력을 증대시킬 수 있도록, 1차적으로 카운팅, 정렬한 단어를 기반으로 파생어 또는 유사한 의미를 지닌 단어들을 2차적으로 그룹핑하여 대표성을 지닌 표제어를 각 행의 맨 좌측에, 그리고 파생어 및 관련 단어를 표제어의 우측에 횡축으로 나열하여 단어집을 구성하는 방식.Comparing derivatives and related words to help learners prioritize high-frequency words and increase word associations and memorization skills, with derivatives or similar meanings based on words counted and sorted primarily. Secondary grouping of words with a representative heading on the left side of each line and derivatives and related words on the right side of the heading to form a vocabulary.
KR1020060088335A 2006-09-13 2006-09-13 A method of making vocabulary with the calculated counts of words KR20080024250A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101303204B1 (en) * 2010-12-08 2013-09-03 주식회사 펀진 Method of create a vocabulary for language learning
WO2016186475A1 (en) * 2015-05-21 2016-11-24 홍성민 Method for managing dictionary data and apparatus for performing same
KR20210020756A (en) * 2019-08-14 2021-02-24 고려대학교 산학협력단 Synonym-stem based korean verb learning tool

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101303204B1 (en) * 2010-12-08 2013-09-03 주식회사 펀진 Method of create a vocabulary for language learning
WO2016186475A1 (en) * 2015-05-21 2016-11-24 홍성민 Method for managing dictionary data and apparatus for performing same
KR20160136799A (en) * 2015-05-21 2016-11-30 홍성민 Method for managing dictionary data and apparatus performing the method
KR20210020756A (en) * 2019-08-14 2021-02-24 고려대학교 산학협력단 Synonym-stem based korean verb learning tool

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