Tokenizations example sentences

"Tokenizations" Example Sentences

1. Tokenizations are used to break a text into individual units.
2. The tokenizations of this sentence include seven words.
3. My program's tokenizations are more accurate than others.
4. Tokenizations are also called lexical analysis.
5. The tokenizations of this paragraph are complex and varied.
6. The accurate tokenizations of a text are crucial for natural language processing.
7. The tokenizer's job is to perform the tokenizations.
8. I wrote a script to automate the tokenizations of our company's documents.
9. These tokenizations will be used to train our machine learning algorithms.
10. A good tokenizer can greatly improve the accuracy of text analysis.
11. Tokenizations are often used in information retrieval systems.
12. We need to do some manual tokenizations for this text since the structure is unconventional.
13. The tokenizations produced by the software were inconsistent and needed to be manually corrected.
14. The text was so dense that even the tokenizations were difficult to read.
15. The tokenizations of this legal document were very important for accurate interpretation.
16. Different languages require different tokenizations strategies.
17. Accurately counting the tokenizations of a text can be a daunting task.
18. The tokenizations of this poem were particularly challenging due to the creative use of language.
19. Tokenizations can be used to identify specific phrases and patterns in a text.
20. Our team spent hours debating the best way to approach the tokenizations of this document.
21. By adjusting the tokenizations algorithm, we were able to greatly improve our model's accuracy.
22. Some tokenizations programs are open source and free to use.
23. The tokenizations of this scientific paper required expertise in the field.
24. The tokenizations of this text revealed some interesting patterns in the author's language use.
25. Misinterpreting the tokenizations of a legal document could have serious consequences.
26. Effective tokenizations are essential for text preprocessing in data science projects.
27. The tokenizations of this transcript helped us analyze communication patterns in the conversation.
28. Tokenizations can be used to identify key phrases and concepts in a text.
29. The tokenizations produced by the software were not always suitable for our particular research methods.
30. Tokenizations are often used to create word clouds.
31. The tokenizations of this novel were particularly interesting due to the author's unique style.
32. We used tokenizations to analyze the effectiveness of different advertising slogans.
33. The tokenizations of this speech revealed many themes and motifs.
34. One potential limitation of tokenizations is that they do not account for context and meaning.
35. By manually editing the tokenizations, we were able to improve the accuracy of our analysis.
36. The tokenizations of this text helped us identify the author's intended audience.
37. Tokenizations can be used to identify patterns in social media posts.
38. The tokenizations of this news article were very important for accurate reporting.
39. We had to make some manual adjustments to the tokenizations to account for varying abbreviations and terms.
40. Comparing the tokenizations of two texts can reveal interesting differences in language use.

Common Phases

1. The process of tokenizing involves breaking down a sentence into individual words;
2. Tokenization is used in natural language processing to analyze textual data;
3. A tokenizer is a function that splits a text string into smaller units called tokens;
4. Tokenization plays a critical role in machine learning algorithms and data analysis techniques;
5. There are various tokenization methods, such as whitespace tokenization, word tokenization, and character tokenization.