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doc/controllers/advanced-ap-is.md

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@@ -12,15 +12,15 @@ advanced_ap_is_controller = client.advanced_ap_is
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## Methods
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* [Get Classification](/doc/controllers/advanced-ap-is.md#get-classification)
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* [Get QA](/doc/controllers/advanced-ap-is.md#get-qa)
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* [Get NER](/doc/controllers/advanced-ap-is.md#get-ner)
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* [Get Classification](/fl-python/doc/controllers/advanced-ap-is.md#get-classification)
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* [Get QA](/fl-python/doc/controllers/advanced-ap-is.md#get-qa)
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* [Get NER](/fl-python/doc/controllers/advanced-ap-is.md#get-ner)
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# Get Classification
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# Stemmer : Defintion and it's usage
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# Stemmer : Defintion and it's usage
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# Languages covered:
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```python
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## Response Type
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[`Responseclassify`](/doc/models/responseclassify.md)
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[`Responseclassify`](/fl-python/doc/models/responseclassify.md)
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## Example Usage
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```python
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body = jsonpickle.decode('{"key1":"val1","key2":"val2"}')
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body = jsonpickle.decode('{"key1":"val1","key2":"val2"}')
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result = advanced_ap_is_controller.get_classification(body)
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```
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| HTTP Status Code | Error Description | Exception Class |
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| --- | --- | --- |
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| 400 | Error output | [`ErrorsException`](/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiClassify426ErrorException`](/doc/models/api-classify-426-error-exception.md) |
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| 400 | Error output | [`ErrorsException`](/fl-python/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiClassify426ErrorException`](/fl-python/doc/models/api-classify-426-error-exception.md) |
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# Get QA
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# Stemmer : Defintion and it's usage
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# Stemmer : Defintion and it's usage
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# Languages covered:
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```python
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## Response Type
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[`ApiQaResponse`](/doc/models/api-qa-response.md)
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[`ApiQaResponse`](/fl-python/doc/models/api-qa-response.md)
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## Example Usage
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| HTTP Status Code | Error Description | Exception Class |
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| --- | --- | --- |
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| 400 | Bad Request | [`ErrorsException`](/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`M426ErrorException`](/doc/models/m426-error-exception.md) |
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| 400 | Bad Request | [`ErrorsException`](/fl-python/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`M426ErrorException`](/fl-python/doc/models/m426-error-exception.md) |
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# Get NER
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# Stemmer : Defintion and it's usage
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# Stemmer : Defintion and it's usage
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# Languages covered:
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```python
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## Response Type
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[`List of ApiNerResponse`](/doc/models/api-ner-response.md)
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[`List of ApiNerResponse`](/fl-python/doc/models/api-ner-response.md)
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## Example Usage
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| HTTP Status Code | Error Description | Exception Class |
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| --- | --- | --- |
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| 400 | Bad Request | [`ErrorsException`](/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`M426ErrorException`](/doc/models/m426-error-exception.md) |
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| 400 | Bad Request | [`ErrorsException`](/fl-python/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`M426ErrorException`](/fl-python/doc/models/m426-error-exception.md) |
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doc/controllers/basic-ap-is.md

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## Methods
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* [Get Stemmer](/doc/controllers/basic-ap-is.md#get-stemmer)
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* [Get Lemma](/doc/controllers/basic-ap-is.md#get-lemma)
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* [Get Morph](/doc/controllers/basic-ap-is.md#get-morph)
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* [Get Postag](/doc/controllers/basic-ap-is.md#get-postag)
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* [Get Stemmer](/fl-python/doc/controllers/basic-ap-is.md#get-stemmer)
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* [Get Lemma](/fl-python/doc/controllers/basic-ap-is.md#get-lemma)
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* [Get Morph](/fl-python/doc/controllers/basic-ap-is.md#get-morph)
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* [Get Postag](/fl-python/doc/controllers/basic-ap-is.md#get-postag)
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# Get Stemmer
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# Stemmer : Defintion and it's usage
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A word takes different inflectional forms. For instance, the word, "Compute" can take the forms, "computing", "computation", and "computerize". The NLP applications such as Search Engines and Information Extraction would want to store the base or stem of the word, i.e "Compute" instead of accomodating all its inflected forms. This will yield in dimensionality reduction and incerases the efficiency of the system. The stemmer cuts the prefix and suffix of a word.
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# Languages covered:
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Our stemmer works for the following 26 languages. Our stemmer works using the snowball stemmer algorithm which is also known as Porter 2 Stemming algorithm.
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1. Tamil
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2. Hindi
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3. English
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4. Arabic
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5. Basque
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6. Catalan
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7. Danish
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8. Dutch
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9. Finnish
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10. French
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11. German
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12. Greek
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13. Hungarian
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14. Indonesian
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15. Irish
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16. Italian
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17. Lithuanian
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18. Nepali
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19. Norwegian
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20. Portuguese
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21. Romanian
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22. Russian
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23. Serbian
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24. Spanish
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25. Swedish
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# Stemmer : Defintion and it's usage
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A word takes different inflectional forms. For instance, the word, "Compute" can take the forms, "computing", "computation", and "computerize". The NLP applications such as Search Engines and Information Extraction would want to store the base or stem of the word, i.e "Compute" instead of accomodating all its inflected forms. This will yield in dimensionality reduction and incerases the efficiency of the system. The stemmer cuts the prefix and suffix of a word.
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# Languages covered:
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Our stemmer works for the following 26 languages. Our stemmer works using the snowball stemmer algorithm which is also known as Porter 2 Stemming algorithm.
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1. Tamil
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2. Hindi
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3. English
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4. Arabic
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5. Basque
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6. Catalan
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7. Danish
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8. Dutch
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9. Finnish
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10. French
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11. German
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12. Greek
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13. Hungarian
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14. Indonesian
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15. Irish
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16. Italian
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17. Lithuanian
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18. Nepali
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19. Norwegian
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20. Portuguese
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21. Romanian
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22. Russian
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23. Serbian
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24. Spanish
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25. Swedish
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```python
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## Response Type
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[`List of Responsestem`](/doc/models/responsestem.md)
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[`List of Responsestem`](/fl-python/doc/models/responsestem.md)
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## Example Usage
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```python
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body = jsonpickle.decode('{"key1":"val1","key2":"val2"}')
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body = jsonpickle.decode('{"key1":"val1","key2":"val2"}')
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result = basic_ap_is_controller.get_stemmer(body)
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```
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| HTTP Status Code | Error Description | Exception Class |
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| --- | --- | --- |
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| 400 | Error output | [`ErrorsException`](/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiStemmer426ErrorException`](/doc/models/api-stemmer-426-error-exception.md) |
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| 400 | Error output | [`ErrorsException`](/fl-python/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiStemmer426ErrorException`](/fl-python/doc/models/api-stemmer-426-error-exception.md) |
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# Get Lemma
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# Stemmer : Defintion and it's usage
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# Stemmer : Defintion and it's usage
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```python
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## Response Type
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[`List of Responselemma`](/doc/models/responselemma.md)
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[`List of Responselemma`](/fl-python/doc/models/responselemma.md)
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## Example Usage
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body = jsonpickle.decode('{"key1":"val1","key2":"val2"}')
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result = basic_ap_is_controller.get_lemma(body)
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```
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| HTTP Status Code | Error Description | Exception Class |
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| 400 | Error output | [`ErrorsException`](/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiLemmatize426ErrorException`](/doc/models/api-lemmatize-426-error-exception.md) |
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| 400 | Error output | [`ErrorsException`](/fl-python/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiLemmatize426ErrorException`](/fl-python/doc/models/api-lemmatize-426-error-exception.md) |
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# Get Morph
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# Stemmer : Defintion and it's usage
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# Stemmer : Defintion and it's usage
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```python
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## Response Type
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[`Responsemorph`](/doc/models/responsemorph.md)
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[`Responsemorph`](/fl-python/doc/models/responsemorph.md)
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| HTTP Status Code | Error Description | Exception Class |
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| 400 | Error output | [`ErrorsException`](/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiMorph426ErrorException`](/doc/models/api-morph-426-error-exception.md) |
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| 400 | Error output | [`ErrorsException`](/fl-python/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiMorph426ErrorException`](/fl-python/doc/models/api-morph-426-error-exception.md) |
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# Get Postag
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**So, What is a POS Tagger?**
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Parts Of Speech Tagger, which is shortly known as POS Tagger is a software that automatically finds the word classes, when a text input is given. The text input can be a word, a sentence or a set of sentences. The word classes are the grammatical categories such as, Noun, Verb, Adverb etc. These category assigned to each word is a tag. A set of tags, each indicating a grammatical category is called, "tagsets". POS tagging is a mandatory pre processing for most of the Natural Language Processing Applications such as, Information Extraction, Information Retreival systems and Summary generation systems.
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**Is POS Tagger, a language-independent software?**
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No. A POS Tagger is a language-dependent software as the grammar rules will differ for every language. For instance, A word ending with "ing" might indicate a Verb" in English but this will not be applicable for other languages.
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**For what languages, our POS Tagger API will work?**
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At present, our POS Tagger API works for English and Tami Languages. Soon we will extend the APIs to accomodate more languages.
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**How Precise are our POS Tagger API?**
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**So, What is a POS Tagger?**
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Parts Of Speech Tagger, which is shortly known as POS Tagger is a software that automatically finds the word classes, when a text input is given. The text input can be a word, a sentence or a set of sentences. The word classes are the grammatical categories such as, Noun, Verb, Adverb etc. These category assigned to each word is a tag. A set of tags, each indicating a grammatical category is called, "tagsets". POS tagging is a mandatory pre processing for most of the Natural Language Processing Applications such as, Information Extraction, Information Retreival systems and Summary generation systems.
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**Is POS Tagger, a language-independent software?**
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No. A POS Tagger is a language-dependent software as the grammar rules will differ for every language. For instance, A word ending with "ing" might indicate a Verb" in English but this will not be applicable for other languages.
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**For what languages, our POS Tagger API will work?**
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At present, our POS Tagger API works for English and Tami Languages. Soon we will extend the APIs to accomodate more languages.
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**How Precise are our POS Tagger API?**
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will update accuracy metrics soon .....
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```python
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## Response Type
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[`List of Responsepo`](/doc/models/responsepo.md)
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[`List of Responsepo`](/fl-python/doc/models/responsepo.md)
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| HTTP Status Code | Error Description | Exception Class |
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| 400 | Error output | [`ErrorsException`](/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiPostag426ErrorException`](/doc/models/api-postag-426-error-exception.md) |
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| 400 | Error output | [`ErrorsException`](/fl-python/doc/models/errors-exception.md) |
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| 426 | Please use HTTPS protocol | [`ApiPostag426ErrorException`](/fl-python/doc/models/api-postag-426-error-exception.md) |
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doc/models/errors-exception.md

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| Name | Type | Tags | Description |
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| `errors` | [`List of Errors1`](/doc/models/errors-1.md) | Optional | - |
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| `errors` | [`List of Errors1`](/fl-python/doc/models/errors-1.md) | Optional | - |
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## Example (as JSON)
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doc/models/responsemorph.md

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| Name | Type | Tags | Description |
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| `orignal_string` | [`OrignalString`](/doc/models/orignal-string.md) | Optional | - |
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| `orignal_string` | [`OrignalString`](/fl-python/doc/models/orignal-string.md) | Optional | - |
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## Example (as JSON)
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doc/models/text-input-classify.md

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| Name | Type | Tags | Description |
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| `input` | [`Input2`](/doc/models/input-2.md) | Optional | - |
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| `input` | [`Input2`](/fl-python/doc/models/input-2.md) | Optional | - |
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## Example (as JSON)
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doc/models/text-input-tamil.md

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| `input` | [`Input4`](/doc/models/input-4.md) | Optional | - |
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| `input` | [`Input4`](/fl-python/doc/models/input-4.md) | Optional | - |
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doc/models/text-input.md

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| `input` | [`Input`](/doc/models/input.md) | Optional | Direct Text Input |
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| `input` | [`Input`](/fl-python/doc/models/input.md) | Optional | Direct Text Input |
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## Example (as JSON)
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doc/models/url-input-classify.md

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| `input` | [`Input3`](/fl-python/doc/models/input-3.md) | Optional | - |
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doc/models/url-input.md

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| `input` | [`Input1`](/fl-python/doc/models/input-1.md) | Optional | Text for processing will be read from the given URL. Only HTML pages or text pages will be processed at this time. |
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