TW552534B - Sentence-making system with incomplete prompt and the method thereof - Google Patents

Abstract

The present invention provides a sentence-making system with incomplete prompt and the method thereof, which uses multiple modes of prompting problems, wherein the learners can firmly capture the important components in the sentence pattern in the sentence-making training process, and can be intensively and repetitively trained on important points to be able to flexibly work out the foreign sentence-making, and further trained up with skilled foreign sentence-making capability; wherein, the system includes: the sentence pattern database, the problem decision module, the output-processing module, the input receiving module, and the result comparing module. The method includes the following steps: starting the prompting sentence-making training and determining the problem mode; then, capturing the sentence pattern sample data and starting the output of problem contents; next, starting the input procedure by the learner; conducting the operation of input content comparing after completion of input; finally, the learner is completed with all the prompting sentence-making training.

Description

552534 V. Description of the Invention (1) [Field of the Invention] The present invention relates to a computer-assisted foreign language sentence training system and method, and particularly refers to a method that allows learners to grasp the composition of sentence patterns through a variety of incomplete prompts. Unit, and then a system and method for developing sentence making ability. [Background of the Invention] "Sentence making" is an important and necessary training in the process of foreign language learning. In the traditional classroom teaching process, teachers often provided several more common fixed sentence patterns. The process of example sentence copying and example sentence replacement for learners to train. This sentence training activity _ emphasizes that the learner is familiar with the structure of the sentence structure, not the individual constituent units of the sentence structure. How to master and apply it is supplemented with key exercises, so that the final learner can only grasp the overall prototype of the sentence when making the sentence, but not the temporal changes and word attributes of each constituent unit applied in the sentence ... And so on for more details. In addition, the traditional fixed-duck-style teaching and learning model and content allow learners to learn foreign language sentences only from a fixed number of example sentence exercises. It does not provide learners with more space for thinking, and of course they cannot establish their own thinking. habit. In this way, when the learner is in an actual situation, it will be difficult to create sentences with complete sentence patterns, proper tenses, and correct attributes. In recent years, with the development of computer technology, there have been many software applications that use computers as auxiliary tools for sentence training in foreign languages.

Page 4 552534 V. Description of the invention (2) The teaching mode of practicing is improved, but it still focuses on the level of integrated sentence-making practice, and does not add more ink to the individual component elements in the sentence-making process, so that it has no ability for those For learners who can create complete sentences independently, such integrated sentence-building training content is likely to be too difficult to exceed the ability of learners, so if you want to be able to cross the barrier of learning in a short time, it seems not So easy.

In the long run, it may cause learners to spend a lot of time and energy, but still ca n’t learn the proficiency of foreign language sentence formation, which not only reduces the learner ’s willingness to continue training, but also may cause learners to lose confidence in foreign language sentence formation. . Therefore, how to properly use advanced computer science I technology and the most appropriate foreign language sentence training mode, so that learners can spend a lot of time in computer-assisted ways to carry out a variety of sentence examples. Repeated practice training can also strengthen the flexible application of the key constituent units in the sentence pattern through various different question-taking modes of the computer. Furthermore, the progressive incomplete prompt training method can let the learner really grasp the core of the sentence example ... These should be the key points for the learners who are urgently needed in the training of foreign language sentence making and the efforts that the developers should make. [Objective and Summary of the Invention] In view of this, the present invention proposes a system and method for incomplete prompting sentence formation in order to solve the above problems. The main purpose is to use multiple modes of incomplete prompting questions to let learners create sentence In the process of training, it is easy to grasp the system and method of strengthening the repetitive training where the important constituent units of the sentence pattern are located, and then to achieve the ability of sentence formation. Therefore, in order to achieve the above purpose, the present invention does not fully suggest the sentence making system.

Page 5 552534 V. Description of the invention (3) system, including: sentence database, question determination module, processing output module, input acceptance module and result comparison module. In addition, the incomplete prompt sentence-making method provided by the present invention includes the following steps: starting the prompt sentence-making training and determining the question mode, then extracting the sentence pattern sample data to start the question content output, and then the learner starts to enter the program and then After the input is completed, the input content comparison operation is performed, and finally the learner completes all the prompt sentence making training. The detailed content and technology of the present invention will be described in conjunction with the drawings as follows: [Detailed description of the embodiment of the invention] The present invention is an incomplete system for prompting sentence making and its method. The system, the figure is a module structure diagram of the incomplete suggestion sentence making system and method mentioned in the present invention, which is explained as follows: (1) Sentence database 2 1 0, which is responsible for storing all sentence pattern samples for sentence making training content Data, where each sentence pattern sample data contains the original sentence pattern content (including text and speech), context content (including text and speech), and sentence pattern related reminder data content ... several parts. In particular, the content of the sentence-relevant reminder content also contains fragmented content (such as: text, voice, pictures, moving day, etc.) composed of various media types (such as: Fragment images, fragment translations, fragment candidates, etc.), are mainly used to provide the different content and style of the questions required according to different question modes, so that learners can really grasp the sentence pattern during the training process. The most important building block. (2) The question decision module 2 2 0 is responsible for adopting from the sentence database 21 0

Page 6 552534 V. Explanation of the invention (4) The machine extracts the sample data of the sentence pattern to be used for the question, and after generating the sample pattern data for the question, further determines the question model of the sample pattern data. The question generation mode can at least include a reorganized sentence making mode, a question-and-answer sentence making mode, and a filtered question-and-answer sentence making mode ... The reorganized sentence making mode is a sentence pattern arranged randomly and out of order, and the reorganized answer is based on the meaning suggested by the fragment translation; The question-and-answer pattern-making mode is based on the contextual meaning of the sentence pattern, and the answer is selected from the fragment image or the fragment translation prompt. As for the filter-type question-and-sentence pattern, it is based on the context of the sentence pattern and the content of the fragment image prompt. Screening answers among the possible fragment candidates. (3) The processing output module 2 3 0 is used to perform a segmentation and recombination procedure on the sample sentence data extracted according to the questioning mode determined by the questioning decision module 2 2 0 to generate and output the recombined sentence pattern. The segmentation and recombination program at least includes temporarily storing the original sentence pattern content (temporarily stored in the memory for comparison with the learner input content), segmenting the original sentence pattern content (producing a plurality of sentence patterns that the learner cannot operate on) The guidance unit and the plural sentence units that the learner can operate), and the random segmentation and reorganization of the segmentation results ... (4) The input acceptance module 2 40, the learner can perform all input procedures through the user operation interface 100, including: text typing, dragging and clicking, or voice pronunciation. (5) Result comparison module 2 50, which compares the content entered by the learner with the original sentence pattern content temporarily stored in the memory, and outputs the comparison result to the learner. When the learner's input is incorrect,

Page 7 552534 V. Description of the invention (5) The system can also give learners immediate corrections, and even decide whether to strengthen the training for the same type of sentence pattern content, so that learners become more familiar with sentence patterns from repeated training. Next, the process of the present invention will be explained by using "Figure 2", which is a flowchart of the operation of the incomplete prompt sentence making system and method mentioned in the present invention. The description is as follows: When a learner begins to enter the prompt sentence training, he will The question-determination module 2 2 0 first determines the question-taking mode (step 3 0 0); after determining the question-taking mode (at least including a reorganized sentence-making mode, a question-and-answer-style sentence-making mode, and a filter-type question-making sentence-making mode, etc.), the self-sentence The sample database 210 is used to extract the sample data of the sentence pattern to be used for the question, and then the process of outputting the content of the question is started for the learner's reference for answering (step 4 0 0); at this time, the learner can The content starts to enter the input program. During the input process, the system will automatically determine whether the learner has completed the input. After the input is completed, the system starts the comparison operation of the input content (step 5 0 0); finally when the system comparison is completed The result will be output to the learner. So far, the whole process of prompting sentence formation training comes to an end (step 6 0 0), and the entire process ends. In fact, the part of suggesting sentence making is the key point of the present invention, so the following will be described further with "Figure 3", which is the incomplete sentence making system and method of the present invention. Prompt sentence making flowchart, explained as follows: First, the processing output module 2 3 0 reads the sentence pattern sample data for the question (step 4 1 0); then the question mode is also read into

552534 Fifth, the description of the invention (6) (step 4 2 0); then the action of segmenting and reorganizing the sentence sample data according to the questioning mode (including temporarily storing the original sentence pattern content, segmenting the original sentence pattern content, and randomizing the segmentation result) Out-of-order reorganization ... and so on, and then generate a reorganized sentence pattern, which will reorganize the sentence pattern (which contains a plurality of sentence pattern guidance units that the learner cannot operate and a plurality of sentence pattern composition units that the learner can operate on) ) To output (step 4 3 0); At this time, the learner can start the input process. The learner can use the user operation interface 1 0 0 to target the operable by text typing, dragging and clicking or voice pronunciation. The sentence pattern is composed of units for operation and input (step 5 10); while the learner is inputting, the present invention will judge whether the input procedure of the learner has been completed? (Step 5 2 0) If it has not been completed, the system will continue to return to Step 5 1 0 and let the learner enter the operation of the program. Otherwise, when the learner has completed the input, the system will continue to the next step. That is, the content entered by the learner is compared with the original sentence pattern content temporarily stored in the memory (step 530); after the comparison is completed, the comparison result is output to the learning The learner knows (step '5 4 0), so far it is considered to have completed a sentence-making training process, and the system will then ask the learner whether to continue with other prompt sentence-making training? (Step 5 5 0) If the learner needs it, the process returns to the place of step 3 0 0 and restarts another prompt sentence making training. Otherwise, it will end all the processes and complete the learner's prompt sentence making training process. . Below we will use "Figure 4-a", "Figure 4-b" and "Figure 4-c" to illustrate the specific feasibility of the present invention by using three different question modes, as follows:

552534 V. Description of the invention (7) First, "Figure 4-a" is an embodiment of the reorganized sentence-making mode of the present invention. In this mode, the original sentence pattern content has been segmented and recombined. Restructuring the sentence pattern, the learner only needs to follow the prompt content of the fragment translation (such as: "Participate in her birthday party π"), the sentence pattern is composed of units (ie: "party'1", "ton, n her" and "bir thday ") Arranged in the correct order after the sentence guidance unit (that is, n S heinvitedeachofus) to complete the answer. After completion, the system will compare according to the learner's answer and output the comparison result to the learner for reference. , And complete the process of prompt sentence-making training. And “Figure 4-b” is the first day of the question-and-answer sentence-making mode of the present invention. The learner only needs to use the context, fragment image, and fragment translation provided by the system to complete the sentence. The pattern guide unit can be followed by a sentence pattern unit to answer. As in this embodiment, the context proposed by the system is “n What's this?”, And a fragment image and a fragment translation are provided. At this time, the learner only needs to select the correct sentence after the sentence pattern guide unit π 11 is ” Type component units (such as: n aπ and npenci 1π) to complete the answer. After completion, the system will compare the answers based on the learners' answers, and output the comparison results to the learners for reference, completing the process of prompt sentence making. Finally, "Figure 4-c" is an example of a screened Q & A sentence making mode. The same system will first provide the learner with context and hints for the fragment image, and then the learner can start using the system. In the provided reorganized sentence pattern, as in this embodiment: n an, n bicycle ", n Hen," She ", πΗιιηπ, nHern, nItn, nhern, " him ", " BE", and n RI DE (now (Procedure) n starts the action of filtering input, and similarly

Page 10 552534 V. Description of the invention (8) The learner completes all the line comparisons and demonstrates the process of sentence comparison training. [Achieving the effect] The inexhaustibility of the present invention is to make a question from different sentence construction patterns, which will make a sentence. All the possible flexible training methods such as key elements can deepen the least time in exchange for the most fear of face-to-face contact with foreign language sentence training and according to your own learning ability. Although the present invention is used to limit the spirit and scope of the present invention, the scope of protection will be output to the learner for reference based on the results of the study. After the input, the system will output the results to learners for reference. Use of existing sentences; I am embarrassed by the method of large learning. I am able to form a single learner through power and learn sentences individually. In the shortest category, sentence learners can also be effective in sentence training. It must be reduced and can be followed. The preference to adjust the brain-assisted elements uses different time periods and subtle tenses, and uses the impression of electricity to converge, using the aforementioned preferred embodiment of the whole learning which the learner desires to expose, as described above, any person familiar with this skill, In case of improper changes and retouching, the method defined in the scope of the patent application is attached, and the question-taking mode of learning will be used to learn the attributes of foreign language words ... brain-assisted multi-familiarity, computer-assisted control with the teacher and the environment Hejin, but it does not depart from the present invention, so the present invention prevails. «

Page 552534 Brief description of the diagram. Figure 1 is the module structure diagram of the incomplete prompt sentence-making system and method mentioned in the present invention. Figure 2 is the operation of the incomplete prompt sentence-making system and method provided by the present invention. Flow chart; FIG. 3 is a flowchart of a prompt sentence making system and method of the incomplete prompt sentence system mentioned in the present invention; FIG. 4-a is a schematic diagram of a specific embodiment of the sentence prompt system and method of the incomplete prompts mentioned in the present invention Figure 4-b is a schematic diagram of a specific embodiment of the incomplete prompt sentence-making system and method mentioned in the present invention; and _ Figure 4-c is a specific implementation of the incomplete prompt sentence-making system and method mentioned in the present invention Example diagram. [Illustration of graphical symbols] 100 user operation interface 2 0 0 prompt sentence making training system 210 sentence database 2 2 0 problem determination module 2 3 0 processing output module 2 4 0 input acceptance module 2 5 0 result comparison Module · Step 3 0 0 Perform prompt sentence training and determine a question mode Step 4 0 0 Retrieve sample data of a sentence pattern and start outputting the content of the question Step 4 1 0 Read the sample data of the sentence pattern Step 4 2 0 Read the question mode

Page 12 552534 Schematic description of step 430 Perform a segmentation and reorganization of the sentence sample data according to the questioning mode to generate a reorganized sentence output. Step 500 The learner starts the entry procedure and performs the m entry content ratio after the input is completed. At step 510, the learner begins to enter a program. Step 520 completes the program. Step 530 reads the content and compares it. Step 540 outputs the comparison result. Step 550 Does not continue other prompt sentence training. Step 600 The learner completes all prompt sentence training.

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Claims (1)

552534 6. Scope of patent application1. The key component to cultivate the incomplete prompt sentence making system is to train the important units in the sentence pattern, and to prompt the content and the question mode with different segments. The learner's grasp of the foreign sentence pattern structure and The use of sentence making in foreign languages, the system includes: a sentence pattern database to store more than one sentence pattern sample data for question generation during sentence construction exercises; a question determination module for extracting from the sentence pattern database Take the sentence pattern poor sample 'and determine one of the sentence pattern sample materials ^ question mode; 2. 3. 4. After processing the sample pattern data of the output pattern, perform a segmentation and recombination procedure to generate a reorganized pattern Outputting; an input accepting module for accepting an input procedure by a learner through a user interface; and a result comparison module for inputting and outputting the comparison result according to the input content of the learner. The incomplete prompt sentence-making system described in item 1 is used to extract the lines according to the question mode, such as claiming the content, such as the voice of the voice, please apply the sentence when applying, and please the picture of the sentence Sentence and fruit comparison mode comparison, and the range-type sample data includes an original sentence pattern content context and a sentence pattern association prompt data content. The incomplete reminder sentence-making system described in 2 items: The type of the content of the displayed data includes text, the scope of the semantic range, and the day and night. The incomplete prompt sentence-making system described in the second type of related mention 2 above shows that the content of the data contains a plurality of sentences with the original sentence. Page 14 552534 VI. Patent application scope Fragment images, fragment translations and fragment candidates related to type content. 5. The incomplete prompt sentence-making system as described in item 1 of the scope of the patent application, wherein the question generation mode includes a reorganized sentence-making mode, a question-and-answer-style sentence-making mode, and a screening-type question-and-say sentence-making mode. 6. The incomplete prompt sentence-making system as described in item 1 of the scope of the patent application, wherein the segmentation and recombination procedure includes a part of temporarily storing the original sentence pattern content, segmenting the original sentence pattern content, and randomly reordering the segmentation result. 7. The incomplete prompt sentence-making system as described in item 1 of the scope of patent application, wherein the restructured sentence pattern includes a plurality of sentence pattern guidance units that the learner cannot operate and a plurality of sentence pattern composition units that can be operated. 8. An incomplete prompt sentence formation method, which aims at the important key components in the training sentence pattern, uses different segments to prompt the content and the question mode to cultivate learners' grasp of foreign sentence pattern structure and the use of foreign language sentence formation. It includes the following steps: training on sentence making and determining a question output mode; extracting sample data of a sentence and outputting the content of the question; the learner starts an input process and compares the input content after the input is completed; and the learner completes all the sentence making training. 9. The incomplete suggestion sentence-making method as described in item 8 of the scope of patent application, wherein the question generation mode includes a reorganized sentence-making mode, a question-and-answer-style sentence-making mode, and a screening-type question-and-say sentence-making mode. 1 0. The method of incomplete prompt sentence making as described in item 8 of the scope of patent application, wherein the sample data of the sentence pattern includes an original sentence pattern content, a context Page 15 552534 6. Content of patent application scope and content of one-sentence related reminder materials. 11. The incomplete prompt sentence-making method as described in item 10 of the scope of patent application, wherein the type of the content of the sentence-associated prompt data includes text, voice, picture, and moving day. 1 2. The incomplete prompt sentence making method as described in item 10 of the scope of patent application, wherein the sentence pattern related prompt data content includes a plurality of segment images, segment translations, and segment candidate words related to the original sentence pattern content. 1 3. The method of incomplete prompt sentence making as described in item 8 of the scope of patent application, wherein the step of extracting the sample data of the sentence pattern and starting the output of the content of the question, further includes the following steps: reading the sample data of the sentence pattern; Taking the question mode; and performing a segmentation and reorganization procedure on the sentence pattern sample data according to the question mode to generate a reorganized sentence pattern output. 14. The incomplete suggestion sentence-making method as described in item 13 of the scope of the patent application, wherein the segmentation and recombination procedure includes a part of temporarily storing the original sentence pattern content, segmenting the original sentence pattern content, and segmenting the result randomly and reorganized. 15. The incomplete suggestion sentence-making method as described in Item 13 of the scope of patent application, wherein the recombined sentence pattern includes a plurality of sentence pattern guidance units that the learner cannot operate and a plurality of sentence pattern composition units that can be operated. . Page 16