2022-01-04-check_spelling_dl_en

docs/_posts/egenc/2022-01-04-check_spelling_dl_en.md

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+---
+layout: model
+title: Spell Checker in English Text
+author: John Snow Labs
+name: check_spelling_dl
+date: 2022-01-04
+tags: [open_source, en, spell, dl]
+task: Spell Check
+language: en
+edition: Spark NLP 3.3.0
+spark_version: 2.4
+supported: true
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Spell Checker is a sequence-to-sequence pipeline that detects and corrects spelling errors in your input text. It's based on Levenshtein Automaton for generating candidate corrections and a Neural Language Model for ranking corrections. You can download the pretrained pipeline that comes ready to use.
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/check_spelling_dl_en_3.3.0_2.4_1641301117763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+from sparknlp.pretrained import PretrainedPipeline 
+
+pipeline = PretrainedPipeline('check_spelling_dl', lang='en')
+result = pipeline.fullAnnotate("During the summer we have the hottest ueather. I have a black ueather jacket, so nice.I intrduce you to my sister, she is called ueather.")
+```
+```scala
+import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
+
+val pipeline = new PretrainedPipeline("check_spelling_dl", lang = "en")
+val result = pipeline.fullAnnotate("During the summer we have the hottest ueather. I have a black ueather jacket, so nice.I intrduce you to my sister, she is called ueather.")
+```
+</div>
+
+## Results
+
+```bash
+[('During', 'During'),
+ ('the', 'the'),
+ ('summer', 'summer'),
+ ('we', 'we'),
+ ('have', 'have'),
+ ('the', 'the'),
+ ('hottest', 'hottest'),
+ ('ueather', 'weather'),
+ ('.', '.'),
+ ('I', 'I'),
+ ('have', 'have'),
+ ('a', 'a'),
+ ('black', 'black'),
+ ('ueather', 'leather'),
+ ('jacket', 'jacket'),
+ (',', ','),
+ ('so', 'so'),
+ ('nice', 'nice'),
+ ('.', '.'),
+ ('I', 'I'),
+ ('intrduce', 'introduce'),
+ ('you', 'you'),
+ ('to', 'to'),
+ ('my', 'my'),
+ ('sister', 'sister'),
+ (',', ','),
+ ('she', 'she'),
+ ('is', 'is'),
+ ('called', 'called'),
+ ('ueather', 'Heather'),
+ ('.', '.')]
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|check_spelling_dl|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 3.3.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|118.1 MB|
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- TokenizerModel
+- ContextSpellCheckerModel