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Add Spanish models and pipelines pack
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maziyarpanahi authored Feb 18, 2020
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Expand Up @@ -19,16 +19,18 @@ Take a look at our official Spark NLP page: [http://nlp.johnsnowlabs.com/](http:
* [Pretrained Models](#pretrained-models)
* [Public Models](#public-models)
* [English](#english---models)
* [French](#French---models)
* [French](#french---models)
* [German](#german---models)
* [Italian](#italian---models)
* [Spanish](#spanish---models)
* [Multi-language](#multi-language)

* [Pretrained Pipelines](#pretrained-pipelines)
* [English](#english---pipelines)
* [French](#French---pipelines)
* [German](#German---pipelines)
* [French](#french---pipelines)
* [German](#german---pipelines)
* [Italian](#italian---pipelines)
* [Spanish](#spanish---pipelines)

* [Licensed Enterprise](#licensed-enterprise)

Expand Down Expand Up @@ -106,6 +108,22 @@ Take a look at our official Spark NLP page: [http://nlp.johnsnowlabs.com/](http:
| **POS** | Trained by **PerceptronApproach** annotator on the [Universal Dependencies](https://universaldependencies.org/treebanks/it_isdt/index.html) |
| **NER** | Trained by **NerDLApproach** annotator with **Char CNNs - BiLSTM - CRF** and **GloVe Embeddings** on the **WikiNER** corpus and supports the identification of `PER`, `LOC`, `ORG` and `MISC` entities |

### Spanish - Models

| Model | Name | Build | Notes | Description | Offline |
|:-----------------------------|:-------------------|:-----------------|:------|:------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| LemmatizerModel (Lemmatizer) | `lemma` | 2.4.0 | | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lemma_es_2.4.0_2.4_1581890818386.zip) |
| PerceptronModel (POS UD) | `pos_ud_gsd` | 2.4.0 | | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pos_ud_gsd_es_2.4.0_2.4_1581891015986.zip) |
| NerDLModel (glove_100d) | `wikiner_6B_100` | 2.4.0 | | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikiner_6B_100_es_2.4.0_2.4_1581971941700.zip) |
| NerDLModel (glove_6B_300) | `wikiner_6B_300` | 2.4.0 | | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikiner_6B_300_es_2.4.0_2.4_1581971942090.zip) |
| NerDLModel (glove_840B_300) | `wikiner_840B_300` | 2.4.0 | | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikiner_840B_300_es_2.4.0_2.4_1581971942091.zip;;) |

| Feature | Description |
|:----------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| **Lemma** | Trained by **Lemmatizer** annotator on **lemmatization-lists** by `Michal Měchura` |
| **POS** | Trained by **PerceptronApproach** annotator on the [Universal Dependencies](https://universaldependencies.org/treebanks/es_gsd/index.html) |
| **NER** | Trained by **NerDLApproach** annotator with **Char CNNs - BiLSTM - CRF** and **GloVe Embeddings** on the **WikiNER** corpus and supports the identification of `PER`, `LOC`, `ORG` and `MISC` entities |

### Multi-language

| Model | Name | Build | Notes | Description | Offline |
Expand Down Expand Up @@ -167,6 +185,18 @@ Take a look at our official Spark NLP page: [http://nlp.johnsnowlabs.com/](http:
| Entity Recognizer Large | `entity_recognizer_lg` | 2.4.0 | `it` | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_recognizer_lg_it_2.4.0_2.4_1579722823718.zip) |
| Entity Recognizer Medium | `entity_recognizer_md` | 2.4.0 | `it` | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_recognizer_md_it_2.4.0_2.4_1579722834033.zip) |

### Spanish - Pipelines

| Pipeline | Name | Build | lang | Description | Offline |
|:-------------------------|:-----------------------|:-------|:-------|:----------|:----------|
| Explain Document Small | `explain_document_sm` | 2.4.0 | `es` | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/explain_document_sm_es_2.4.0_2.4_1581977077084.zip) |
| Explain Document Medium | `explain_document_md` | 2.4.0 | `es` | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/explain_document_md_es_2.4.0_2.4_1581976836224.zip) |
| Explain Document Large | `explain_document_lg` | 2.4.0 | `es` | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/explain_document_lg_es_2.4.0_2.4_1581975536033.zip) |
| Entity Recognizer Small | `entity_recognizer_sm` | 2.4.0 | `es` | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_recognizer_sm_es_2.4.0_2.4_1581978479912.zip) |
| Entity Recognizer Medium | `entity_recognizer_md` | 2.4.0 | `es` | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_recognizer_md_es_2.4.0_2.4_1581978260094.zip) |
| Entity Recognizer Large | `entity_recognizer_lg` | 2.4.0 | `es` | | [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_recognizer_lg_es_2.4.0_2.4_1581977172660.zip) |


# Licensed Enterprise

`pretrained(name, lang)` function to use
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