Spell Checker Machine Learning

Ask question asked 7 years 11 months ago.

Spell checker machine learning. I m new to machine learning i need to write an application which check whether a name is correct or misspelled. It makes use of the best technologies developed by ginger software with an interface settings and complementary processings specifically devised by reverso technologies inc. Check each word against a list of already correct words.

There are many ways to build a spell corrector. Autocorrect spell check for short words. We will use a sequence to sequence translator commonly used in machine neural transmission networks.

Natural language progressing projects have the issue of using text that is written by humans and we are unfortunately bad at writing. An example is write and right. Correct spellings of uncommon words like proper nouns using state of the art neural networks.

Score and rank the candidate replacements. It helps to create better documents and make communication clear. More sophisticated spell checker.

The concept of an automatic and interactive online spell checker was created and developed by reverso technologies inc. If no match can be found then the spell checker looks for suggestions that are similar in sound and structure to the word that wasn t found. Based on the previous 2 or 3 or 4 words predict the words that are retrieved from step 3 above.

Find individual words in the document being checked. Another example is to find homophones words that sound more or less the same but have been used in the wrong manner. Active 7 years 11 months ago.