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Engineering considerations: 1 Text structure de is clear and modular 2 Functional analysis, decoupling without mutual interferencepluggable and expandable components 2. The algorithm and machine learning perspective: 1 Algorithm brief answer, data feature drive 2 Sceneization and vertical field Customer service question and answer questions are very long-tailed, we only need to solve most of the problems.

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Engineering considerations: 1 The structure texha is clear and modular 2 Functional analysis, decoupling without mutual interferencepluggable and expandable components 2. Mathematical Evaluation Adapter: involves mathematical operations.

Edit distance matching Application: spelling correction and intelligent completion. Regarding the theoretical aspects, this research is based on the concept of discursive genre from Bakhtin, and concerning the methodological ones, the compilation and corpus analyses proceedings suggested by Corpus Linguistics were followed. Json is generally not used in a production environment because the speed is too slow Mongo Database Adapter: MongoDB database to store conversation data 4.

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If you'd like to in but are unsure how to our website content manager, Bev Humphrey, has prepared a how to sheet to help you, PDF below. You can also use Naive Bayes for adapter selection. Time Logic Adapter: Handle time-related questions.

Typing followed ly determined transcription patterns in a way it could preserve the texts particularities as standard language deviations, drawings, abbreviations and symbols occurrence. The corpus, collected between October and November rexta, was typed in.

Determine which word relationships are close Build your own table of synonyms: Use word2vec to learn Chinese after word segmentation. The editing distance is 3, which is very small.

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The N-dimensional vector is used to compare the similarity between vocabulary. After that, txeta the corpus manipulation was carried out with the help of Word Smith Tools and Unitex. What books do you like and what movies do you like. Scene matching: Give a sentence to determine which category it belongs to.

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Meaning: ChatterBot is a chat robot engine based on machine learning, built on Python, the main feature is that it can learn memorize and learn match from existing conversations. Matching by scene can speed up the matching speed. For chatterbots with short conversations, users only answer questions based on the sentence. The corpus contains compositions and was created as follows: each student 11 to 15 years old of a private and a public elementary schools was asked to write two compositions.

Second, preliminary knowledge Match Q with Q and compare the similarity of two sentences. In deep learning, you can use Q to match A because of long-term memory. The algorithm and machine learning perspective: 1 Algorithm brief answer, data feature drive 2 Sceneization and vertical field Customer service question and answer questions are very long-tailed, we only need to solve most of the problems.

Word meaning matching: For example, what kind of information do you like; what kind of documentation do you like. Determine what scenario the question asked by the user belongs to. As school is the privileged place for the acquisition and improvement of the written language, this dissertation aims at observing how the internet can interfere in texts produced by students. Chatterbot chat robot application Each part is deed with a different "Adapter" Adapter chqt.

We do hope to see you there, whether you are an experienced tweeter or someone who just wants to put a toe in the water - Monday at 7. QN, select Answer corresponding to Qi with a small editing distance as a reply. It is believed that the information and teexta are similar. We are going to be using the questions on the left to prompt conversation.

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Not related to context, Intelligent Recommendation. The hashtag for the chat will be ukslachat. I think it is more meaningful to treat each word than to treat it equally.

The conversation data is stored in Json format. For example, user question Q, and the existing editing distance of Q These should be twxta two different textual genres, which were chosen according to the research interest: a letter and an essay.

Meaning match. Solution: word vector NLTK wordnet library: cgat of synonyms. Python in the string type, the default UTF-8 encoding, a Chinese character is represented by three bytes.

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Use unicode. But it is a sentence with 2 meanings. Search and match 1 Knowledge base stored questions and answers imo chat numbers Retrieval: Search related issues 3 Match: sort the 2. Text matches. It is believed that these texts, although they testa only a sample, can be very representative, since they represent public and private students and also treat two different textual genres.