CN109377788B - Symbol generation method based on language learning system - Google Patents

Symbol generation method based on language learning system Download PDF

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CN109377788B
CN109377788B CN201811089790.XA CN201811089790A CN109377788B CN 109377788 B CN109377788 B CN 109377788B CN 201811089790 A CN201811089790 A CN 201811089790A CN 109377788 B CN109377788 B CN 109377788B
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李金莹
张滕滕
胡晓辰
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Abstract

The invention relates to a symbol generation method based on a language learning system. The method can edit symbols of all vocabularies, the editing mode is based on nine identification symbols generated by a system, the number of the symbols is limited to nine, and the nine symbols only master the pronunciation of the identification symbols aiming at vowel letters in all words, so that the pronunciation of the vowel letters when different letters are combined into words is mastered; when the consonant letters are used for spelling the vowel letters, the pronunciation of the whole word can be easily read according to the pronunciation rules of the nine identifiers, and compared with the traditional 48-phoneme spelling method, the one-time and one-time remembered once-for-all spelling effect is achieved.

Description

Symbol generation method based on language learning system
Technical Field
The invention relates to a method of a language learning system, in particular to a symbol generation method based on the language learning system.
Background
It is common knowledge to use 48 phonemes as phonetic symbols for spelling a word. The jinshan wordbar provides a font file containing phonetic symbols from which a font containing phonetic symbols can be found. The technical scheme emphasizes the association problem between 48 phonemes as phonetic symbols and words.
Chinese patent document CN107798927A discloses an oral english practice training system, which includes: english tense card group; the English tense card group is composed of a common current time sub-card, a common past time sub-card, a current progress time sub-card, a past progress time sub-card, a current completion time sub-card, a past completion time sub-card, a common future time sub-card and a past future time sub-card; the sub cards of the English tense card group are provided with basic sentence pattern structure titles with set tenses and subject languages, and the bottom ends of the basic sentence pattern structure titles are sequentially provided with a sentence pattern forming module and a spoken language practice module; the click-to-read pen is connected with the English tense card group in a click mode. The oral English training system designed by the invention not only can conveniently train and learn oral English, but also can correct the mouth shape and pronunciation.
Chinese patent document CN107689173A discloses a pickup device for efficiently improving english listening and speaking teaching, which comprises a pickup and an input keyboard, wherein the pickup is connected to a mobile terminal through a headset converter, the output end of the input keyboard is electrically connected to the input end of a central processing unit, the output end of the central processing unit is electrically connected to the input end of a loudspeaker, the pickup can record the pronunciation of words of students, so that the pronunciation of students can be corrected more accurately, the loudspeaker can play the pronunciation of correct standard words, the cloud data storage can store the audio of english short texts and the audio of american foreign language texts, so that the learning materials of students are more accurate, the data transmitter can input the learning materials into a cloud platform, the mobile terminal can record the voices and videos of students, and a teacher can guide the students about the pronunciation and pronunciation mouth shapes, the teacher can conveniently supervise the students, and the students can be encouraged to actively practice to master the language sense of the genuine beautiful language.
Chinese patent document CN106448287A discloses an information data processing method and system. The method is characterized in that: the system obtains user instructions, wherein the user instructions comprise a learning instruction, a testing instruction, a review instruction, a dictionary query instruction, an English reading instruction and a phonetic English instruction; skipping to a corresponding display interface according to a user instruction to obtain a corresponding English word, wherein the display interface comprises a learning interface, a testing interface, a review interface, a dictionary query interface, a reading interface and a phonetic notation interface; and on a display interface, performing phonetic notation on the English words according to a preset rule to obtain the phonetic notation English. The technical scheme is that the initial pronunciation of an English word is restored based on the pronunciation record of an international phonetic symbol, the English is annotated according to preset rules, the English pronunciation is standardized and unified, and the learning, testing, reviewing, dictionary inquiring, reading and annotating functions of a global English learner on the English are realized. This document gives people a new idea of learning and mastering english.
The above examples can prove that a large expansion space still exists in the technical field, especially in the process of foreign language learning.
Disclosure of Invention
The invention aims to provide a symbol generation method based on a language learning system. The method is based on a language learning system, marks vowel letters by representing symbols, each mark represents a pronunciation of the vowel letter, the position where the correct pronunciation of any phrase is spelled can be easily found by the pronunciation, and the position can be accurately matched with consonant letters to finish the task of sound fixing according to the identifier symbols; the learning process is that the learner easily and pleasantly master the language learning and enjoy the learning by spelling and reading the pronunciation first and then memorizing.
Therefore, the technical scheme for solving the problems is as follows: a symbol generation method based on a language learning system, wherein the method comprises the steps of establishing and operating the system:
s1, operating a system consisting of an uplink management platform, a language database, a data distribution unit, an identification recognition unit, a data adaptation unit and a correction interpretation unit, wherein the language database comprises all English dictionaries, and 26 letters of all words in the dictionaries are respectively covered by different numbers; the data distribution unit comprises a screening data pointer module and a data path containing nine channels; the identification recognition unit comprises a module with nine identifiers and an address module with five vowels; the language database is connected with the data distribution unit and the identification unit; the identifier unit is connected in parallel with the data distribution unit with respect to the data adaptation unit.
S2, when one or more word spelling requests occur, an uplink management platform of the system sends out a permission instruction;
s3, providing consonant letters with numbers and providing numerical codes of pictographic symbols to the address module with nine identifiers respectively by the language database according to the instruction;
s4, selecting a vowel with a pictographic symbol from an address module in which five vowels are recorded by a screening data pointer module in the data distribution unit in a pointer selection mode;
s5, providing pictographic symbols by a data path and endowing the pictographic symbols with selected vowel letters;
s6, according to the number coding of the pictographic symbols, pairing the selected vowel letters with the identifiers;
s7, combining the matched vowel letters and consonant letters to complete the letter combination of a word;
s8, the correct pronunciation is judged by the correction interpretation unit, and the judgment result is uploaded to a system uplink management platform through a data distribution unit to send a verification request;
and S9, the system uplink management platform checks the qualified reply data distribution unit to finish spelling of a complete word.
Further, it is characterized in that each pictogram may be marked above or below a vowel letter.
Further, the letters preceded by numbers include prefix compound words, suffix compound words, and double-letter compound words.
Further, the vowels in the address module where five vowels are recorded, each letter has a fixed number code.
Further, the pictogram of any one of the nine identifiers in the identification unit is not unique to any one of the five vowel letters when different consonants and vowels are combined into a complete word.
Further, the digital encoding of the pictogram in said step s3. is a digital code.
Further, the pictograms of the nine identifiers in the nine identifier address modules are: the vertical bar shape, the left opening triangle shape, the left opening semi-arc shape, the bottom opening triangle shape, the bottom opening semi-arc shape, the right turning right ninety degrees Z shape, the solid circle shape, the hollow circle shape and the constant bar shape.
Further, the vowel letters in the address module of the five vowels have fixed number codes which are coded in decimal.
Further, the pictograms of the nine identifiers are:
Figure DEST_PATH_IMAGE002
preferably, the number code corresponding to each pictogram is a decimal code.
Compared with the prior art, the system symbol generation method can edit symbols of all vocabularies, the editing mode is based on nine identification symbols generated by the system, the number of the symbols is limited to nine, and the nine symbols only master the pronunciation of the identification symbols aiming at vowel letters in all words, so that the pronunciation of the vowel letters when different letters are combined into words is mastered; when the consonant letters are used for spelling the vowel letters, the pronunciation of the whole word can be easily read according to the pronunciation rules of the nine identifiers, and compared with the traditional 48-phoneme spelling method, the one-time and one-time remembered once-for-all spelling effect is achieved.
Drawings
FIG. 1 is a schematic flow chart of a symbol generation method based on a language learning system according to the present invention;
fig. 2 is a schematic diagram of the overall structure of the system of fig. 1.
Detailed Description
Referring to fig. 1, the present embodiment relates to a symbol generation method based on a language learning system, the method comprising the steps of establishing and operating the system:
s1, operating a system consisting of an uplink management platform, a language database, a data distribution unit, an identification recognition unit, a data adaptation unit and a correction interpretation unit, wherein the language database comprises all English dictionaries, and 26 letters of all words in the dictionaries are respectively covered by different numbers; the data distribution unit comprises a screening data pointer module and a data path containing nine channels; the identification recognition unit comprises a module with nine identifiers and an address module with five vowels; the language database is connected with the data distribution unit and the identification unit; the identifier unit is connected in parallel with the data distribution unit with respect to the data adaptation unit.
S.2, based on the physical structure and the operating environment of the system, when one or more word requests are spelled, an uplink management platform of the system sends out a permission instruction;
s3, providing consonant letters with numbers and providing numerical codes of pictographic symbols to the address module with nine identifiers respectively by the language database according to the instruction; also, the consonant letters, which are numbered, include prefix compound words, suffix compound words, and double-letter compound words.
S4, selecting corresponding pictographic symbol vowels from the address module in which the five vowels are recorded by a pointer module in the data distribution unit in a pointer selection mode, wherein each pictographic symbol can be marked above or below the vowel; each vowel has a fixed numeric code.
S5, providing pictographic symbols by a data path and endowing the pictographic symbols with selected vowel letters;
s6, according to the number coding of the pictographic symbols, pairing the selected vowel letters with the identifiers;
s7, combining the matched vowel letters and consonant letters to complete the letter combination of a word;
s8, the correct pronunciation is judged by the correction interpretation unit, and the judgment result is uploaded to a system uplink management platform through a data distribution unit to send a verification request;
and S9, the system uplink management platform checks the qualified reply data distribution unit to finish spelling of a complete word.
The nine identified pictographic symbols in the identification recognition unit referred to in this example are: the system comprises a vertical bar, a left opening triangle, a left opening semi-arc, a bottom opening triangle, a bottom opening semi-arc, a right-turning ninety-degree Z shape, a solid circle, a hollow circle and a constant bar, wherein each pictographic symbol corresponds to a digital code; and the corresponding structures in sequence are as follows:
Figure DEST_PATH_IMAGE003
each pictogram is corresponding to a number code, which can be a number code, and can be matched with the words in the language database which are also endowed with decimal number codes between 0000000000 and 9999999999, under the condition of high-speed operation addressing of the chip, the pictogram, the vowel letters and the consonant letters are combined to form a word and the word is correctly read, and the word is endowed with new life.
In practice, the pictogram of any one identifier in this example is not unique in pairing with any of the five vowels when different consonants and vowels are combined into a complete word; for example, the following two formulas:
Figure DEST_PATH_IMAGE005
Figure DEST_PATH_IMAGE007
it can be seen from the above two formulas that the same vowel letter a is marked with different identifiers above or below the letter a when the letters are combined, so that the corresponding mouth shape sounds different.
In summary, the identification unit in this example is a core unit of the system, and is more an iconic symbol originating location for generating nine kinds of identifiers; the system generation is only of practical significance if the pictogram is paired with one of the five vowels. Especially, after nine symbols in the identification unit are bound with vowels in the five vowel letter address modules, the pronunciation of the vowel letters can be easily read according to the pronunciation rules of the nine identifiers, and the spelling of the consonant letters is assisted, so that the spelling of the complete word can be completed, and learners can remember the spelling rule of the vocabulary once and for all.

Claims (2)

1. A symbol generation method based on a language learning system, wherein the method comprises the steps of establishing and operating the system:
s1, operating a system consisting of an uplink management platform, a language database, a data distribution unit, an identification recognition unit, a data adaptation unit and a correction interpretation unit, wherein the language database comprises all English dictionaries, and 26 letters of all words in the dictionaries are respectively covered by different numbers; the data distribution unit comprises a screening data pointer module and a data path containing nine channels; the identification recognition unit comprises a module with nine identifiers and an address module with five vowels, wherein the pictographic symbols of the nine identifiers in the identification recognition unit are respectively as follows: the device comprises a vertical bar shape, a left opening triangle shape, a left opening semi-arc shape, a bottom opening triangle shape, a bottom opening semi-arc shape, a right-turning ninety-degree Z shape, a solid circle shape, a hollow circle shape and a constant bar shape; when different consonants and vowel letters are combined into a complete word, the pictogram of any identifier is not unique in pairing with any letter in the five vowel letters; the language database is connected with the data distribution unit and the identification unit; the identifier unit is connected in parallel with the data distribution unit with respect to the data adaptation unit.
S2, when one or more word spelling requests occur, an uplink management platform of the system sends out a permission instruction;
s3, according to the instruction, the language database provides the data distribution unit with consonant letters with numbers and numeric letters including prefix combination words, suffix combination words and double-letter combination words, and provides the address module with nine identifiers with the numeric codes of pictographic symbols; the digital code of the pictographic symbol is a digital code;
s4, selecting pictographic symbol vowel letters from an address module in which five vowel letters are recorded by a screening data pointer module in the data distribution unit in a pointer selection mode, wherein each pictographic symbol can be marked above or below the vowel letter, the vowel letters in the address module in which the five vowel letters are recorded have fixed number codes, and the number code corresponding to each pictographic symbol is decimal code;
s5, providing pictographic symbols by a data path and endowing the pictographic symbols with selected vowel letters;
s6, according to the number coding of the pictographic symbols, pairing the selected vowel letters with the identifiers;
s7, combining the matched vowel letters and consonant letters to complete the letter combination of a word;
s8, the correct pronunciation is judged by the correction interpretation unit, and the judgment result is uploaded to a system uplink management platform through a data distribution unit to send a verification request;
and S9, the system uplink management platform checks the qualified reply data distribution unit to finish spelling of a complete word.
2. A method for generating symbols based on a language learning system as claimed in claim 1, wherein the fixed number codes of the vowels in the five-vowel address block are decimal codes.
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US6322367B1 (en) * 1999-09-23 2001-11-27 Tawanna Alyce Marshall Method and materials for teaching the phonetic code and repairing self esteem
MY147060A (en) * 2003-08-21 2012-10-15 Yong Kim Thong Method and apparatus for converting characters of non-alphabetic languages
KR20070004788A (en) * 2004-03-05 2007-01-09 레삭 테크놀로지스 인코포레이티드. Prosodic speech text codes and their use in computerized speech systems
US20070212670A1 (en) * 2004-03-19 2007-09-13 Paech Robert J Method for Teaching a Language
CN201993941U (en) * 2011-03-03 2011-09-28 刘玲 Teaching machine using Chinese phonetic alphabets to conduct English learning
US20160225285A1 (en) * 2013-03-15 2016-08-04 Joel Lane Mayon Spanish Language Teaching Systems and Methods
CN103903492A (en) * 2014-04-21 2014-07-02 陶德本 English five-coordination phonetic symbols
CN106205289A (en) * 2015-03-18 2016-12-07 张铭国 Completely dispense with any phonetic symbol and directly read aloud the manner of articulation of English
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