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In our previous article, we introduced the features of four representative "corpora" and briefly summarized how each product can be useful in research and development.
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The features of these products will be applied to their strengths in each research and development phase.From basic research to product developmentWe will introduce more specific examples of how it can be useful in each phase leading up to the goal.
table of contents
Corpus from a research phase perspective
Four distinctive corpora areHow it helps in the research phaseWe have summarized the results. Diversity of data is important in basic research, and precise data for specific languages and domains is required in product development. The examples introduced here are only a part of the data, but we hope they will be useful. Combining multiple corpora makes it possible to develop a more comprehensive multilingual system.
Basic research phase
Basic research phaseBy using a language data corpus, the development of models that form the basis of natural language processing and speech recognition technology can be carried out efficiently. By utilizing a diverse data set,Highly accurate algorithms can be built quickly from the early stages of researchpoints is a big advantage.
| scene | Corpus used | Message |
|---|---|---|
| Language Modeling | ELRA GLOBAL PHONE | Training a multilingual speech recognition model |
| Audio Analysis | LDC Corpus | Development of a basic model for a speech recognition system |
| Text Classification | LDC Corpus | Model evaluation using large-scale text data |
| Preprocessing of Chinese speech data | AISHELL | Denoising, cleaning and labelling Chinese speech data |
| Chinese speech recognition model | AISHELL | Research on creating pronunciation dictionaries, handling tones, and noise tolerance |
| Data collection | DATAOCEAN AI | Research into multilingual support, AI training, and building the foundations of voice recognition models |
Applied research phase
Applied research phaseIn this field, language data corpora are essential for developing more practical systems and technologies.By training the model with data based on real-world scenarios, we can expect to improve the accuracy of systems aimed at commercialization..
| scene | Corpus used | Message |
|---|---|---|
| Voice Recognition System | ELRA GLOBAL PHONE | Developing multilingual voice recognition technology |
| Machine translation | LDC Corpus | Creating and optimizing interlanguage translation models |
| Conversational AI training | AISHELL | Training an AI model with Chinese conversation data |
| Natural language processing | LDC Corpus | Development of advanced document analysis technology using large-scale text data |
| Speech synthesis | DATAOCEAN AI | Development of multilingual voice synthesis systems and multilingual AI models |
Prototype and test phase
Prototype and test phaseIt is important to evaluate the performance of the developed system in the operational environment.Efficiently evaluate and improve prototypes.
| scene | Corpus used | Message |
|---|---|---|
| Voice Recognition System | ELRA GLOBAL PHONE | Prototyping a multilingual voice app |
| Machine translation | LDC Corpus | Implementation test and performance evaluation of machine translation system |
| Conversational AI training | AISHELL | Chinese conversation AI operation testing and optimization |
| Natural language processing | LDC Corpus | Evaluating the performance of a trained speech recognition model |
| Speech synthesis | DATAOCEAN AI | Multilingual voice testing for AI assistant apps |
Product Development Phase
Product Development PhaseThen,Bring more actionable products to market with real-world data.
Language data corpora are essential tools for improving the performance of speech recognition and natural language processing (NLP), and it is necessary to use the optimal dataset for each product. For example, let's take a look at how each corpus is used by giving specific application examples in each field, such as VR, smart homes, smartphone apps, and autonomous driving systems.
| Corpus used | Message | |
|---|---|---|
| VR App Development | ELRA GLOBAL PHONE | Integrate a multilingual voice recognition system into a VR app to develop a function for recognizing multilingual voice in real time. |
| Smart Home Systems | AISHELL | Improved voice recognition technology for Chinese-enabled smart home devices (e.g. voice control of home appliances) |
| Smartphone AI assistant | LDC Corpus | Utilizing natural language processing technology to enhance the smartphone's AI assistant function and optimize processing of voice commands and text |
| Autonomous Driving System Development | DATAOCEAN AI | Developed a multilingual voice recognition and conversation system for autonomous driving systems, and implemented voice control functions in multiple languages. |
Summary
Using language data corpora in research and development can dramatically improve the productivity of research in speech recognition and natural language processing. By using diverse data sets appropriately, it is possible to effectively utilize them in each phase from basic research to product development, and researchers can expect to obtain highly accurate results in a short period of time.
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