Comments (1)
Pure statistical approaches to language detection are never 100% correct. The letter sequence in the word 'hello' is very common in Spanish, so the algorithm thinks it's Spanish as the probability for Spanish is greater than the probability for English.
Feed longer strings into the detector. Then you will get more reliable results.
from lingua-py.
Related Issues (20)
- Improve single language detection when words in other languages are quoted HOT 2
- 'compute_language_confidence_values' probabilities do not sum to 1 HOT 1
- Proposition: Add confidence value to the output of method Detector.detect_language_of HOT 1
- Please provide performance metrics in the benchmarks HOT 5
- Returning IsoCode639_1 HOT 1
- Strategy to split text by language HOT 1
- Transformer models for Language Detection
- No module named 'regex._regex' HOT 2
- Chinese breaks multi language detection HOT 2
- Confidence scores on multiple languages detection HOT 1
- How can we make the model check the language by itself, without the need to provide a list of languages in advance? HOT 3
- Support ONNX format for language models HOT 4
- Does not detect Hindi HOT 1
- Multiple Languages HOT 4
- Luxembourgish HOT 6
- Generative models/LLMs in the benchmarks
- get_language_of takes too long HOT 1
- English is detected as Sotho too often HOT 5
- Incorrect language detection for Kazakh texts HOT 3
- Pinned version of Numpy dependency
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from lingua-py.