CFLM Oral Teaching Framework

Abstract

A CFLM (Conceptual Cognitive Model) oral instruction framework includes a processing module, an input module, a speech conversion module, a scoring module, and a response module. The input module, speech conversion module, scoring module, and response module are all signal-connected to the processing module. The input module receives the user's speech and converts it into a speech signal. The speech conversion module converts the speech signal into a plurality of word vectors. The scoring module compares the plurality of word vectors with sentence structure rules to generate a plurality of sentence structure scores. The response module generates a scoring report based on the plurality of word vectors and the plurality of sentence structure scores, wherein the scoring report includes at least one usage suggestion and word cognitive structure data related to the plurality of word vectors.

Claims

1. A CFLM oral teaching framework for providing English oral practice for a user and providing relevant suggestions and information based on the content of the user's speech (V), comprising: a processing module (1); an input module (2) connected to the processing module (1) for receiving the user's speech (V) and converting the user's speech (V) into a speech signal (S2); and a speech conversion module (3) connected to the processing module (1) for converting the speech signal (S2) into a plurality of single word vectors (S31). A scoring module (4), signal-connected to the processing module (1), compares the plurality of single-word vectors (S31) with a sentence structure rule (95) to generate a plurality of sentence structure scores (S41), wherein the sentence structure rule (95) includes an English content word rule, an English function word rule and an English grammar rule; and a response module (5), signal-connected to the processing module (1), for generating a scoring report (S51) based on the plurality of single-word vectors (S31) and the plurality of sentence structure scores (S41), wherein the scoring report (S51) includes at least one usage suggestion and single-word cognitive structure data related to the plurality of single-word vectors (S31).

2. The CFLM oral teaching framework as described in claim 1 further includes a language data storage library (9), which is signal-connected to the processing module (1) and stores a superordinate word data (91), a basic word data (92), a subordinate word data (93), an eight-part-of-speech rule (94) and the sentence structure rule (95).

3. The CFLM oral instruction framework as described in claim 1 further includes a display device (8) that is signal-connected to the processing module (1) for displaying the scoring report (S51) to the user.

4. The CFLM oral teaching framework as described in claim 1 further includes a practice module (6) signal-connected to the processing module (1), the practice module (6) being used to generate at least one practice example for the user to practice the English oral language.

5. The CFLM oral teaching architecture as described in claim 1, wherein the speech conversion module (3) includes a speech recognition unit (31) that is signal-connected to the processing module (1) and is used to convert the speech signal (S2) transmitted by the input module (2) into the plurality of single word vectors (S31).

6. The CFLM oral instruction framework as described in claim 1, wherein the scoring module (4) includes a comparison unit (41) that is signal-connected to the processing module (1) and is used to compare the plurality of single word vectors (S31) with the sentence structure rule (95) and score each single word vector (S31) such that each single word vector (S31) generates a sentence structure score (S41).

7. The CFLM oral instruction framework as described in claim 6, wherein the scoring module (4) further includes an error recording unit (42), the error recording unit (42) being signal-connected to the processing module (1) and used to compare each sentence structure score (S41) with a predicted standard score, and if the sentence structure score (S41) is less than the predicted standard score, the error recording unit (42) records the incorrect word vector (S31) as an error data (S42).

8. The CFLM oral teaching framework as described in claim 7 further includes a review module (7) signal-connected to the processing module (1), the review module (7) being used to generate at least one review example based on the error data (S42) recorded by the error recording unit (42) of the scoring module (4) for the user to review.

9. The CFLM oral instruction framework as described in claim 1, wherein the response module (5) further includes a sentence correction unit (51), which is signal-connected to the processing module (1) and is used to generate the word cognitive architecture data based on the plurality of word vectors (S31), and to generate the usage suggestion based on the plurality of sentence architecture scores (S41), and then integrate the word cognitive architecture data and the usage suggestion into the score report (S51).

10. The CFLM oral instruction framework as described in claim 9, wherein the response module (5) further includes a graphic aid unit (52), the sentence correction unit (51) is signal-connected to the processing module (1), and is used to generate at least one related cognitive framework mind map based on the word cognitive framework data (S52).

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