Search results
Results from the WOW.Com Content Network
2. You can try this: First, let us create a data frame that contains text written in different languages: import pandas as pd. from langdetect import detect. df = pd.DataFrame({'text': ['This is written in English', 'هذا مكتوب باللغة العربية', 'English is easy to learn']}) df.head() text. 0 This is written in English.
If the name of the user typed on the English language, the function sends a message on English to the user. Note: This does not connect with a browser, because a user will register from the android application.
All I can say about language is that : 1- in order to get the current language of app itself you should use. String CurrentLang = getResources ().getConfiguration ().locale.getLanguage (); 2- in order to get the current language of the device you should use. String CurrentLang = Locale.getDefault ().getLanguage ();
Translate text. On your computer, open Google Translate. At the top of the screen, select the languages to translate. From: Choose a language or select Detect language . To: Select the language that you want the translation in. In the text box on the left, enter the text you want to translate. Choose what you want to do:
0. In theory it is possible, if regex contained every word from English dictionary. You can create a regex that detects non-English characters. That will detect text that is definitely not English, but won't be able to confirm it definitely is. answered Jun 4, 2017 at 0:00.
max_key = [key for key in self.this_D.keys() if self.this_D[key] == max_value][0] # Only want to know if this is english or not. return max_key == 'en'. Below is the application / instantiation and use of the above class for my needs. file_list = # some tool to get my specific list of files to check for English.
The way I'd do this is to use detect_langs, which returns a list of Language objects with probabilities, and then iterate through this list, returning the language if one of the options is English or French, or None if this isn't the case. This function works well for this purpose:
Method 1: Language models. A language model gives us the probability of a sequence of words. This is important because it allows us to robustly detect the language of a text, even when the text contains words in other languages (e.g.: "'Hola' means 'hello' in spanish"). You can use N language models (one per language), to score your text.
At the top, click Documents. Choose the languages to translate to and from. To automatically set the original language of a document, click Detect language. Click Browse your computer. Select the file you want to translate. Click Translate and wait for the document to finish translating. Click Download translation to download your translated ...
Identifying the language used will typically be the first step in most natural language processing tasks. Among the wide variety of language identification methods discussed in the literature, the ones employing the Cavnar and Trenkle (1994) approach to text categorization based on character n-gram frequencies have been particularly successful.