18048626. PART OF SPEECH TAGGING WITH CONTEXT SENTENCES simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
- 1 PART OF SPEECH TAGGING WITH CONTEXT SENTENCES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PART OF SPEECH TAGGING WITH CONTEXT SENTENCES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PART OF SPEECH TAGGING WITH CONTEXT SENTENCES
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Masayasu Muraoka of Tokyo (JP)
Dolca Tellols Asensi of Castelló (ES)
PART OF SPEECH TAGGING WITH CONTEXT SENTENCES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18048626 titled 'PART OF SPEECH TAGGING WITH CONTEXT SENTENCES
Simplified Explanation
The abstract describes a computer technology for determining and tagging parts of speech in a text using natural language processing logic. This includes analyzing the context of the word to be tagged within the sentence under analysis and in other sentences.
- The technology utilizes natural language processing (NLP) software to analyze the context of words in a text.
- It considers both the immediate sentence and other sentences in the text to determine the part of speech of a given word.
- Context sentences may be selected randomly or based on proximity to the sentence under analysis.
Potential Applications
This technology can be applied in various fields such as:
- Text analysis and understanding
- Machine translation
- Sentiment analysis
- Information retrieval
Problems Solved
The technology helps in:
- Improving accuracy in part of speech tagging
- Enhancing natural language processing capabilities
- Facilitating better text analysis and understanding
Benefits
The benefits of this technology include:
- Increased efficiency in text processing
- Enhanced accuracy in language analysis
- Improved performance of NLP systems
Potential Commercial Applications
This technology can be utilized in:
- Language processing software
- Educational tools
- Search engines
- Content recommendation systems
Possible Prior Art
One example of prior art in this field is the use of rule-based systems for part of speech tagging in natural language processing.
Unanswered Questions
How does this technology compare to existing part of speech tagging methods?
This article does not provide a direct comparison with other methods of part of speech tagging, leaving the reader to wonder about the specific advantages and limitations of this technology in relation to existing approaches.
What are the specific technical requirements for implementing this technology?
The article does not detail the technical specifications or requirements for implementing this technology, leaving readers curious about the necessary infrastructure and resources needed for its deployment.
Original Abstract Submitted
Computer technology for determining and tagging parts of speech in a text (that is PoS ragging), where the context used by the natural language processing machine logic (for example, NLP software) includes both: (i) other words in the sentence under analysis where a given word to be tagged appears; and (ii) words in the other sentences besides the sentence under analysis. Other context sentences may be selected randomly, by Next Sentence Prediction technology and/or by choosing sentences in textual proximity to the sentence under analysis.
