{"id":24808685,"url":"https://github.com/veldhub/veld_chain__eltec_udpipe_inference","last_synced_at":"2026-02-03T05:01:50.428Z","repository":{"id":267026067,"uuid":"898472067","full_name":"veldhub/veld_chain__eltec_udpipe_inference","owner":"veldhub","description":"chain velds using udpipe 1 to infer on five ELTeC corpora.","archived":false,"fork":false,"pushed_at":"2025-03-03T13:50:42.000Z","size":235624,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-24T09:48:58.024Z","etag":null,"topics":["annotation","nlp","udpipe"],"latest_commit_sha":null,"homepage":"","language":"XSLT","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/veldhub.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-12-04T13:06:55.000Z","updated_at":"2025-03-03T13:50:46.000Z","dependencies_parsed_at":"2024-12-07T19:32:59.251Z","dependency_job_id":"c9608704-89ce-4847-a3ff-01e5bcd971a2","html_url":"https://github.com/veldhub/veld_chain__eltec_udpipe_inference","commit_stats":null,"previous_names":["veldhub/veld_chain__eltec_udpipe_inference"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/veldhub/veld_chain__eltec_udpipe_inference","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/veldhub%2Fveld_chain__eltec_udpipe_inference","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/veldhub%2Fveld_chain__eltec_udpipe_inference/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/veldhub%2Fveld_chain__eltec_udpipe_inference/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/veldhub%2Fveld_chain__eltec_udpipe_inference/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/veldhub","download_url":"https://codeload.github.com/veldhub/veld_chain__eltec_udpipe_inference/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/veldhub%2Fveld_chain__eltec_udpipe_inference/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29033716,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-03T02:28:16.591Z","status":"ssl_error","status_checked_at":"2026-02-03T02:27:48.904Z","response_time":96,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["annotation","nlp","udpipe"],"created_at":"2025-01-30T10:18:31.648Z","updated_at":"2026-02-03T05:01:50.398Z","avatar_url":"https://github.com/veldhub.png","language":"XSLT","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ![veld chain](https://raw.githubusercontent.com/veldhub/.github/refs/heads/main/images/symbol_V_letter.png) veld_chain__eltec_udpipe_inference\n\nThis chain VELD repo uses [udpipe 1](https://ufal.mff.cuni.cz/udpipe/1) to infer on five ELTeC \ncorpora and aggregates their linguistic features into simple overview statistics. \n\nThese code velds are reused here:\n\n- https://github.com/veldhub/veld_code__xml_xslt_transformer\n- https://github.com/veldhub/veld_code__downloader\n- https://github.com/veldhub/veld_code__udpipe\n- https://github.com/veldhub/veld_code__analyse_conllu\n\n## requirements\n\n- git\n- docker compose (note: older docker compose versions require running `docker-compose` instead of \n  `docker compose`)\n\nClone this repo with all its submodules\n```\ngit clone --recurse-submodules https://github.com/veldhub/veld_chain__eltec_udpipe_inference.git\n```\n\n## how to reproduce\n\nAfter cloning, the chains can be executed [individually](#individual-steps) or by running it all\ntogether in one [aggregated chain](#aggregated-chain)\n\n### individual steps\n\n**[./veld_step_1_preprocess.yaml](./veld_step_1_preprocess.yaml)**\n\nThis preprocessing converts the ELTeC data from xml into txt files as defined in\n[./data/xsl/transformation.xsl](./data/xsl/transformation.xsl). The output of this is saved to\n[./data/data_tmp_txt_transformed/](./data/data_tmp_txt_transformed/).\n\n```\ndocker compose -f veld_step_1_preprocess.yaml up\n```\n\n**[./veld_step_2_download_models.yaml](./veld_step_2_download_models.yaml)**\n\nudpipe will be used to infer on the data. The models will be downloaded from \nhttps://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3131# and saved to \n[./data/data_tmp_udpipe_models/](./data/data_tmp_udpipe_models/).\n\n```\ndocker compose -f veld_step_2_download_models.yaml up\n```\n\n**[./veld_step_3_infer.yaml](./veld_step_3_infer.yaml)**\n\nInput for inference is the data from the previous preproccesing chains, and output is saved to\n[./data/data_tmp_conllu_inferenced/](./data/data_tmp_conllu_inferenced/)\n\n```\ndocker compose -f veld_step_3_infer.yaml up\n```\n\n**[./veld_step_4_analyse.yaml](./veld_step_4_analyse.yaml)**\n\nStarts a jupyter notebook which can be used for deeper inspection interactively. Inputs are the\ninferenced conllu files, and the output statistics are persisted into data veld repo:\nhttps://github.com/veldhub/veld_data__eltec_conllu_stats\n\n```\ndocker compose -f veld_step_4_analyse.yaml up\n```\n\n**[./veld_step_5_inspect_with_conllueditor.yaml](./veld_step_5_inspect_with_conllueditor.yaml)**\n\nStarts a [conllueditor](https://github.com/Orange-OpenSource/conllueditor) with which individual \nconllu files can be visualized and inspected.\n\n```\ndocker compose -f veld_step_5_inspect_with_conllueditor.yaml up\n```\n\n### aggregated chain\n\n**[./veld_step_all.yaml](./veld_step_all.yaml)**\n\nAll of the individual chains above can be simply run by launching the aggregated chain:\n\n```\ndocker compose -f veld_step_all.yaml up\n```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fveldhub%2Fveld_chain__eltec_udpipe_inference","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fveldhub%2Fveld_chain__eltec_udpipe_inference","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fveldhub%2Fveld_chain__eltec_udpipe_inference/lists"}