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Merge pull request #154 from clamsproject/register/0-spacy-wrapper.v1.2
App Submitted - spacy-wrapper.v1.2
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‎docs/_apps/spacy-wrapper/v1.2/index.md

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---
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layout: posts
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classes: wide
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title: "CLAMS wrapper for spaCy NLP (v1.2)"
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date: 2024-06-11T12:30:19+00:00
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---
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## About this version
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- Submitter: [marcverhagen](https://github.com/marcverhagen)
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- Submission Time: 2024-06-11T12:30:19+00:00
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- Prebuilt Container Image: [ghcr.io/clamsproject/app-spacy-wrapper:v1.2](https://github.com/clamsproject/app-spacy-wrapper/pkgs/container/app-spacy-wrapper/v1.2)
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- Release Notes
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> Bumping Python SDK version, bug fixes and documentation updates
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> - Updated to clams-python 1.2.2
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> - Fixed token length (issue #30)
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> - Fixed problems with the pretokenized parameter (issue #32)
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> - Various documentation fixes.
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## About this app (See raw [metadata.json](metadata.json))
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**Apply spaCy NLP to all text documents in a MMIF file.**
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- App ID: [http://apps.clams.ai/spacy-wrapper/v1.2](http://apps.clams.ai/spacy-wrapper/v1.2)
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- App License: Apache 2.0
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- Source Repository: [https://github.com/clamsproject/app-spacy-wrapper](https://github.com/clamsproject/app-spacy-wrapper) ([source tree of the submitted version](https://github.com/clamsproject/app-spacy-wrapper/tree/v1.2))
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- Analyzer Version: 3.6
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- Analyzer License: MIT
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#### Inputs
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(**Note**: "*" as a property value means that the property is required but can be any value.)
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- [http://mmif.clams.ai/vocabulary/TextDocument/v1](http://mmif.clams.ai/vocabulary/TextDocument/v1) (required)
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(of any properties)
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- [http://vocab.lappsgrid.org/Token](http://vocab.lappsgrid.org/Token)
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(of any properties)
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#### Configurable Parameters
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(**Note**: _Multivalued_ means the parameter can have one or more values.)
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- `pretokenized`: optional, defaults to `false`
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- Type: boolean
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- Multivalued: False
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- Choices: **_`false`_**, `true`
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> Boolean parameter to set the app to use existing tokenization, if available, for text documents for NLP processing. Useful to process ASR documents, for example.
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- `pretty`: optional, defaults to `false`
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- Type: boolean
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- Multivalued: False
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- Choices: **_`false`_**, `true`
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> The JSON body of the HTTP response will be re-formatted with 2-space indentation
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#### Outputs
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(**Note**: "*" as a property value means that the property is required but can be any value.)
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(**Note**: Not all output annotations are always generated.)
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- [http://vocab.lappsgrid.org/Token](http://vocab.lappsgrid.org/Token)
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(of any properties)
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- [http://vocab.lappsgrid.org/Token#pos](http://vocab.lappsgrid.org/Token#pos)
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(of any properties)
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- [http://vocab.lappsgrid.org/Token#lemma](http://vocab.lappsgrid.org/Token#lemma)
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(of any properties)
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- [http://vocab.lappsgrid.org/NounChunk](http://vocab.lappsgrid.org/NounChunk)
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(of any properties)
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- [http://vocab.lappsgrid.org/Sentence](http://vocab.lappsgrid.org/Sentence)
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(of any properties)
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- [http://vocab.lappsgrid.org/NamedEntity](http://vocab.lappsgrid.org/NamedEntity)
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(of any properties)
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‎docs/_apps/spacy-wrapper/v1.2/metadata.json

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{
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"name": "CLAMS wrapper for spaCy NLP",
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"description": "Apply spaCy NLP to all text documents in a MMIF file.",
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"app_version": "v1.2",
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"mmif_version": "1.0.4",
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"analyzer_version": "3.6",
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"app_license": "Apache 2.0",
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"analyzer_license": "MIT",
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"identifier": "http://apps.clams.ai/spacy-wrapper/v1.2",
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"url": "https://github.com/clamsproject/app-spacy-wrapper",
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"input": [
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{
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"@type": "http://mmif.clams.ai/vocabulary/TextDocument/v1",
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"required": true
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},
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{
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"@type": "http://vocab.lappsgrid.org/Token",
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"required": false
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}
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],
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"output": [
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{
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"@type": "http://vocab.lappsgrid.org/Token"
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},
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{
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"@type": "http://vocab.lappsgrid.org/Token#pos"
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},
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{
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"@type": "http://vocab.lappsgrid.org/Token#lemma"
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},
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{
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"@type": "http://vocab.lappsgrid.org/NounChunk"
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},
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{
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"@type": "http://vocab.lappsgrid.org/Sentence"
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},
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{
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"@type": "http://vocab.lappsgrid.org/NamedEntity"
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}
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],
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"parameters": [
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{
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"name": "pretokenized",
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"description": "Boolean parameter to set the app to use existing tokenization, if available, for text documents for NLP processing. Useful to process ASR documents, for example.",
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"type": "boolean",
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"default": false,
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"multivalued": false
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},
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{
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"name": "pretty",
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"description": "The JSON body of the HTTP response will be re-formatted with 2-space indentation",
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"type": "boolean",
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"default": false,
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"multivalued": false
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}
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]
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}

‎docs/_apps/spacy-wrapper/v1.2/submission.json

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{
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"time": "2024-06-11T12:30:19+00:00",
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"submitter": "marcverhagen",
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"image": "ghcr.io/clamsproject/app-spacy-wrapper:v1.2",
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"releasenotes": "Bumping Python SDK version, bug fixes and documentation updates\n\n- Updated to clams-python 1.2.2\n- Fixed token length (issue #30)\n- Fixed problems with the pretokenized parameter (issue #32)\n- Various documentation fixes.\n\n"
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}

‎docs/_data/app-index.json

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{
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"http://apps.clams.ai/spacy-wrapper": {
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"description": "Apply spaCy NLP to all text documents in a MMIF file.",
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"latest_update": "2024-06-11T12:30:19+00:00",
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"versions": [
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[
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"v1.2",
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"marcverhagen"
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],
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[
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"v1.1",
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"keighrim"
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],
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[
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"v1",
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"keighrim"
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]
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]
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},
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"http://apps.clams.ai/llava-captioner": {
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"description": "Applies llava to video frames.",
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"latest_update": "2024-05-23T19:38:32+00:00",
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]
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]
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},
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"http://apps.clams.ai/spacy-wrapper": {
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"description": "Apply spaCy NLP to all text documents in a MMIF file.",
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"latest_update": "2023-07-24T17:39:56+00:00",
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"versions": [
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[
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"v1.1",
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"keighrim"
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],
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[
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"v1",
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"keighrim"
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]
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]
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},
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"http://apps.clams.ai/brandeis-acs-wrapper": {
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"description": "Brandeis Acoustic Classification & Segmentation (ACS) is a audio segmentation tool developed at Brandeis Lab for Linguistics and Computation. The original software can be found at https://github.com/brandeis-llc/acoustic-classification-segmentation .",
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"latest_update": "2023-07-24T05:42:05+00:00",

‎docs/_data/apps.json

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