Tokenizing example sentences

"Tokenizing" Example Sentences

1. Tokenizing the text is the first step in natural language processing.
2. The programmer spent hours debugging the code responsible for tokenizing the input.
3. Efficient tokenizing algorithms are crucial for large datasets.
4. We are improving our search engine by refining the process of tokenizing queries.
5. He explained the intricacies of tokenizing during the lecture.
6. My research focuses on novel methods for tokenizing in low-resource languages.
7. Tokenizing sentences correctly is essential for accurate sentiment analysis.
8. The software uses a sophisticated approach to tokenizing complex phrases.
9. Before analyzing the data, we need to perform tokenizing.
10. Tokenizing allows for easier text manipulation and analysis.
11. The speed of tokenizing directly impacts overall processing time.
12. Incorrect tokenizing can lead to inaccurate results.
13. They are experimenting with different techniques for tokenizing social media posts.
14. Understanding the nuances of tokenizing is vital for NLP.
15. The challenge lies in accurately tokenizing ambiguous text.
16. Advanced techniques are employed for tokenizing code.
17. Tokenizing is a fundamental preprocessing step.
18. This algorithm excels at tokenizing even noisy data.
19. His thesis explored various methods of tokenizing historical documents.
20. Improved tokenizing resulted in a 15% increase in accuracy.
21. We’re considering a new library for tokenizing our data.
22. Proper tokenizing is crucial for machine learning models.
23. The system automatically handles tokenizing and stemming.
24. She developed a novel algorithm for fast tokenizing.
25. Tokenizing often involves handling punctuation and whitespace.
26. Tokenizing is a prerequisite for many NLP tasks.
27. Their research paper details a new approach to tokenizing.
28. Efficient tokenizing is essential for real-time applications.
29. The complexity of tokenizing depends on the language.
30. Tokenizing is a core component of our NLP pipeline.
31. After tokenizing, the data is ready for analysis.
32. By tokenizing, we can break down complex sentences.
33. He is an expert in tokenizing and stemming techniques.
34. Advanced tokenizing techniques improve model performance.
35. The program failed due to an error during tokenizing.
36. They are actively improving their tokenizing methods.
37. Accurate tokenizing is paramount for this project.
38. Tokenizing is a fundamental step in text processing.
39. The impact of different tokenizing methods is significant.
40. We'll discuss different strategies for tokenizing later.
41. Before building the model, tokenizing is necessary.
42. Choosing the right method for tokenizing is crucial.
43. This new algorithm optimizes tokenizing for speed.
44. Tokenizing enhances the efficiency of information retrieval.
45. The process of tokenizing is often computationally expensive.
46. Understanding the limitations of tokenizing is important.
47. Research continues on improving the accuracy of tokenizing algorithms.
48. They compared several approaches to tokenizing the same dataset.
49. The results showed a clear advantage to using subword tokenizing.
50. Further investigation is needed into the effects of different tokenizing techniques.