JPS6050573A - Electronic grammer learning machine - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

DETAILED DESCRIPTION OF THE INVENTION Technical Field of the Invention The present invention relates to an electronic grammar learning machine capable of learning, for example, English grammar such as personal names and tenses.

<Background of the Invention> In recent years, electronic translators have been developed that electronically translate, for example, between English and Japanese. Since this electronic translator can perform instantaneous translation, it can be used for learning to translate from Japanese to English, or from English to Japanese. However, it was not possible to learn about sentence transformations within the same language, such as transformations from first person to third person.

<Purpose of the Invention> This invention was made in view of the above circumstances. When a learner changes some of the words in the displayed basic sentence, the sentence becomes grammatically correct due to this change. The purpose of the present invention is to provide an electronic written grammar learning machine that allows a learner to know correct sentences and learn grammar by automatically changing other words so that the machine automatically changes other words so that the words are correct.

<Summary of the Invention> In order to achieve the above object, there is provided a display means for displaying a basic sentence, and a basic sentence in which some words have been changed by the learner, by changing other words so that the basic sentence is grammatically correct. A sentence correction means for creating sentences is provided so that grammatically correct sentences are always displayed. Sei <Embodiment of the Invention> FIG. 1 is an external plan view of an electronic learning machine according to the present invention. The device body 11 has a display window 12 and an alphabet key 1.
3. Power ON 10 FF, Function keys 14 such as clear, Sentence select key 15 to select basic sentences, Insert/Delete keys 17 and 18 to edit displayed data
, cursor keys 19 and 2 to move the cursor left/right
0. An EN'rBR key 21 is provided for manually inputting data. However, when learning using this device,
First, the sentence selection key 15 is operated to select the basic sentence of Rendo. When this sentence selection key 15 is operated, built-in basic sentences are displayed randomly for each operation.

Next, the learner presses the cursor key 19, 20 and the insert key 17.
, delete key 18, and alphabet key 13 to change some of the words that make up the sentence.
21. The machine then changes other words to match the changed word so that they are grammatically correct.
It is to be displayed.

FIG. 2 is a functional block diagram of the learning machine.

Reference numeral 31 denotes a dictionary information storage means for storing a large number of basic sentences together with various kinds of attached information to be described later.One basic sentence is selected by the basic sentence selection means 32 and read out and stored in the basic sentence buffer 33. At the same time, the attached information is stored in the attached information temporary storage means 34. Reference numeral 35 denotes a user changing means, which changes the basic sentence in the basic sentence buffer 330 according to the learner's key operation. This change is not limited to just anything, but is determined by the attached information, so the word automatic change means is supplied with information on [which word can be changed and how] from the attached information temporary storage means 34. Ru. Further, the results modified according to the information are supplied to the major modification means 36. The major correction means 36 creates a correct sentence based on the changed basic sentence according to the attached information supplied from the attached information temporary storage means 36, and supplies it to the correct sentence buffer 37. Furthermore, the contents are sent to the basic buffer 33 and then to a display section (not shown).

Next, the specific circuit configuration of this embodiment will be explained with reference to FIG. In the figure, it is a control unit equipped with a 41Fi microcomputer and a program RO, and displays display control signals on the display unit 42, read/write (R/W) signals, and chip enable (CE, ) signals on the R and AM43. , address designation signal, key manual control signal to the key manual unit 44, addition/subtraction to the arithmetic circuit 45 (A d d / 8
u b ) signal, chip enable (CEP) signal,
A chip enable (Cgs) signal is then supplied to the dictionary memory 46, respectively. The arithmetic result is still supplied from the arithmetic circuit 45.

The above R, AM43 is the register B where the basic statement is set.
R (Ba5ic 5entence
), register CR (Corre
ct 5ent-ence Register),
Register D in which the address of dictionary memory 46 is set
A R (Dictjonary Ac1-dress
Register), register CAR (CursAddr) in which the cursor address of the display section 42 is set.
ess R,egister), display buffer DB
(Dis-play Buffer), register PR (Flag Register) where flag information is set.
er), register RR (R+a
ndom data Register), a register AIR (Atta-che
d Information I(,egister
) and work register WR (Work R, egist
er) to naru. Display data is sent from the Kono RAM 43 to the display unit 42, calculation data to the calculation circuit 45, and dictionary address data to the dictionary memory 46.
Key human power data is input from the key human power section 44, calculation results from the arithmetic circuit 45, and dictionary data (basic sentences and attached information) from the dictionary memory 46, respectively.

The data structure of the dictionary memory 46 is as shown in FIG. In other words, "I 5END has been deleted. The attached information is information that defines the change pattern, and the area (
"2" in a) indicates that there are two modified words of this word rIJ, and the two jL? lZ! ! 77 (A) (D
FHHJ,! = "5HEJ. Area (tsu) stores information indicating how other words in this sentence will change when the above rIJ is changed to l'-HE J or jsHJ, and "5END -+ S ENDS J Id,
Indicates that the word “8 ENDJ wo” is changed to “5ENDSJ.” The “1” in the upper row of area (1)
It shows that there are still other changed words when changing to HEJ, and it is l'-1 (I M -+
ME'j. Furthermore, "hiro" at the bottom of area (1) indicates that there are no other words to change. The same goes for the area (power) ``@j.'' With this structure, a large number (m types) of basic sentences are memorized.

Next, the operation of this embodiment configured as described above will be explained in the fifth section.
This will be explained with reference to the figures and FIG. Note that detailed operations such as chip enable and read/write control are omitted to simplify the explanation. First, when the sentence select key 15 is operated, it is detected by the key operator 44, and after the key code is stored in the register WR of the RAM 43,
The type of key is determined by the arithmetic circuit 45 and notified to the control unit 41 (S+t). Next, one I-m random number is generated and stored in registers R, R (812). It goes without saying that in order to generate random numbers, a predetermined random number generation calculation is performed using the arithmetic circuit 45 and register WR under the control of the control section 41. Next, specify the address of the dictionary memory 46 based on the contents of registers R and R (S 1s)
. Since m kinds of basic sentences are stored in the dictionary memory 46, one basic sentence is specified and read out.
Register B RK4't of AM43 is loaded (S
14). The contents of this register BR, are displayed on the display section 42. The selected basic sentence is [I 8END HIM
If it is A BOOK, J, the display will be as shown in Figure 6 (
It will be like a). On the other hand, the additional information attached to this basic sentence is input to the register AIR (S+s).
9.20. The basic sentence displayed in the register BR is changed using the insert key 17 and the delete key 181. Since such editing operations are well known, detailed explanation will be omitted.

Assume that the learner changes the sentence as shown in FIG. 9(b) and operates the ENT[L key 21 (8+s
). At this time, it is checked whether the changed word [HEJ exists in the attached information, area (a) in FIG. 4 (s19.820). If the word is not in area (a), the change is invalidated and the process returns to step S16 to change to another word. If it exists, the process advances to step 821, and the attached information attached to the discovered word 1'-HEJ, -j-ftb[S END -+S EN
D8J, “Read HIM −+ MI3J L (821
), the words of the basic sentence in the register AIR, (area (I
t) to “sEN D J,!: “HI M J
Wosa-f L, (S 22), Soreso tL "5B
ND8J, ``Replace MEJ and write to register CR (S23).
Next reading, the arithmetic circuit 45 reads [SF3 N D J
, and "HIM". Next, transfer the contents of register C1N to register BR152.
4) The correct sentence will be displayed on the display section 42.

Next, another embodiment of the present invention will be described. In the above embodiment, it was possible to learn only basic sentences prepared in advance, but in this embodiment, the learner is able to create sentences by manually selecting words from keys. Then, the dictionary memory stores words in units of words as shown in Figure 7.
Each word has attached information indicating the attributes of that word.

As for the hardware, the circuit shown in FIG. 3 is used. The difference from the previous example lies in how to create the correct sentence. In the previous example, the correct sentence could be created by changing the sentence according to the change pattern of the attached information of the basic sentence, but in this example, any sentence can be created. Therefore, the correct sentence is created differently.

The method for creating correct sentences in this embodiment will be described below with reference to FIG.

First, the flow shown in FIG. 8 is started by operating the EN'I'ER key 21, and in step 841, the part of speech of the word is determined by determining the subordinate information of the word changed by the learner. Here, an example will be explained in which a noun or a verb is changed. If it is determined in step 841 that it is a noun, the process proceeds to step S42, where it is determined whether the machine has changed the noun at the beginning of the sentence. There is no need to change any other words in the sentence unless it is the first noun, so EN
Proceed to step D, and if it is the beginning, proceed to step 843. In step 843, the verb of the sentence is searched and the tense is determined from the attached information. In FIG. 8, the dictionary memory 46 uses the original word as the headword, but! -8EN
It is also possible to search for the plural form "5ENDS" of the DJ area, the past, and the past participle l'-8BNTJ. If it is determined in this step 843 that the tense is not the present tense, the process proceeds to the END step since there is no need to change other words in response to the noun change, and if it is the present tense, the process proceeds to step 844. In step 844, it is determined whether the changed noun is singular or plural; if it is plural, the verb is changed to the base form in step 845; if it is in the original form, it remains as is); if it is singular, it is determined in 846 whether it is in the third person; If it is not the third person, the process advances to step 845. If it is determined in step 846 that it is in the third person, the process proceeds to step 847, where the verb is changed to the third person singular present tense.

On the other hand, if the changed word is determined to be a verb or an auxiliary verb in step 841, the process proceeds to step S46, where the tenses of the verb before and after the change are compared.

If the tense has not changed, proceed to the END step; if it has changed, proceed to step 849 to determine whether it is the present tense. If the sentence is not in the present tense, the process advances to the END step; if it is in the present tense, it is determined in step Sho whether the first noun, that is, the subject, of the sentence is singular or plural; otherwise, the process advances to the END step.

In step 85G, if it is determined that there are a plurality of characters, the process advances to the END step, and if it is determined that there is a single character, the process advances to step 851. Step 5sxti Determine whether or not the noun is in the third person. If it is in the third person, change the verb to the third person singular present tense. If not, proceed to the END step.

The sentence is corrected as described above. The above example is an algorithm that focuses on changing the base form of the verb and the third person singular present tense, but this is for the purpose of simplifying the explanation.
Any number of other conditions can be added, such as agreement of tenses, changes other than verbs/nouns, etc. The point is that each word has attached information, and by reading out this attached information, the part of speech, tense, person, etc. can be determined, and the sentence can be corrected. Therefore, the algorithm for creating correct sentences is not limited to this.

<Effects of the Invention> As explained above, according to the present invention, when the learner changes some of the words by himself in the basic sentence presented by the machine and the basic sentence input by the learner, The machine automatically corrects the words so that the sentence is grammatically correct, making it possible to study the grammar of, for example, English.

[Brief explanation of the drawing]

The drawings show an embodiment of the present invention, in which Fig. 1 is an external plan view of the main body of the device, Fig. 2 is a functional block diagram, Fig. 3 is a circuit configuration diagram, and Fig. 4 is a diagram of the dictionary memory in Fig. 3. Figure 5 is a flowchart to clarify the operation, Figure 6 is a display state diagram, Figure 7 is a diagram showing the data structure of the dictionary memory of another embodiment, Figure 8 is a diagram showing the data structure. It is a flowchart for explaining the operation of the above-mentioned other embodiment. 11... Device 4 main body 41... Control section 42...
Display section 43...RA+1J44...Key human power section 4
5... Arithmetic circuit 46... Diction 51! Memo IJBR・
・・Basic sentence register CI (・・Correct sentence register D
AR...Dictionary memory address register C1) (,・
...Cursor address register I) B...Display buffer FTiL-°° flag register Rr (...
Random number register A I l (... Attached information register
W R...Work register patent applicant Casio Computer Co., Ltd.

Claims (4)

[Claims] (1) a display means for displaying a sentence; a word changing means for changing any word constituting the displayed sentence by key operation;
An electronic grammar learning machine characterized by comprising sentence correction means for grammatically correcting a sentence whose words have been changed by this means in accordance with the changed words. (2) A dictionary memory for storing a plurality of basic sentences, a sentence selection means for selecting basic sentences in the dictionary memory, and a display means for displaying the selected basic sentences; 1. A word changing means for changing any word constituting the sentence displayed above by key operation, and a sentence correction means for grammatically correcting the sentence in which the word has been changed according to the changed word. An electronic grammar learning machine characterized by comprising means. (3) A dictionary memory that stores a plurality of basic sentences and change patterns of each basic sentence, a sentence selection means for selecting a basic sentence in this dictionary memory, a display means for displaying the selected basic sentence, and a key. A word changing means for changing any word constituting the sentence being displayed; and a sentence correcting means for grammatically correcting the sentence whose words have been changed by this means in accordance with the changed word according to the changing pattern. An electronic grammar learning machine characterized by comprising: (4) a dictionary memory storing a plurality of words and attribute information of the words; a display means for displaying a sentence consisting of a combination of words stored in the dictionary memory; A word changing means for changing any word in a sentence, and a grammar learning machine using this means.