(calamanCy 0.1.0): Update spaCy pipeline

.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+ner/model filter=lfs diff=lfs merge=lfs -text
+parser/model filter=lfs diff=lfs merge=lfs -text
+tl_calamancy_md-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+tok2vec/model filter=lfs diff=lfs merge=lfs -text
+vocab/vectors filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,36 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- tl
+license: cc-by-sa-3.0
+---
+calamanCy: Tagalog NLP pipelines in spaCy
+
+| Feature | Description |
+| --- | --- |
+| **Name** | `tl_calamancy_md` |
+| **Version** | `0.1.0` |
+| **spaCy** | `>=3.5.0` |
+| **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `ner` |
+| **Components** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `ner` |
+| **Vectors** | -1 keys, 50000 unique vectors (200 dimensions) |
+| **Sources** | [TLUnified dataset](https://aclanthology.org/2022.lrec-1.703/) (Jan Christian Blaise Cruz and Charibeth Cheng)<br />[UD_Tagalog-TRG](https://universaldependencies.org/treebanks/tl_trg/index.html) (Stephanie Samson, Daniel Zeman, and Mary Ann C. Tan)<br />[UD_Tagalog-Ugnayan](https://universaldependencies.org/treebanks/tl_ugnayan/index.html) (Angelina Aquino) |
+| **License** | `CC BY-SA 3.0` |
+| **Author** | [Lester James V. Miranda](https://github.com/ljvmiranda921/calamanCy) |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (120 labels for 4 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`tagger`** | `ADJ`, `ADJ_PART`, `ADP`, `ADV`, `ADV_PART`, `AUX`, `CCONJ`, `DET`, `DET_ADP`, `DET_PART`, `INTJ`, `NOUN`, `NOUN_PART`, `NUM`, `NUM_PART`, `PART`, `PRON`, `PRON_PART`, `PROPN`, `PUNCT`, `SCONJ`, `VERB`, `VERB_PART` |
+| **`morphologizer`** | `Aspect=Perf\|Mood=Ind\|POS=VERB\|Voice=Act`, `Case=Nom\|POS=ADP`, `POS=NOUN`, `POS=PUNCT`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Voice=Pass`, `Case=Gen\|POS=ADP`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|POS=VERB\|Voice=Act`, `POS=ADV\|PronType=Dem`, `Foreign=Yes\|POS=NOUN`, `Degree=Pos\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Deixis=Med\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Masc\|POS=PROPN`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Link=Yes\|POS=ADJ`, `POS=ADP`, `Case=Dat\|POS=ADP`, `POS=VERB\|Polarity=Pos`, `Aspect=Hab\|POS=VERB`, `POS=SCONJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Prosp\|Mood=Ind\|POS=VERB\|Voice=Act`, `POS=ADV`, `POS=PART\|Polarity=Neg`, `Aspect=Imp\|Mood=Ind\|POS=VERB\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Voice=Lfoc`, `POS=PROPN`, `Case=Nom\|Deixis=Prox\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Masc\|POS=NOUN`, `Gender=Fem\|POS=NOUN`, `Degree=Pos\|Gender=Fem\|POS=ADJ`, `Gender=Fem\|POS=PROPN`, `Case=Nom\|Clusivity=In\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `Gender=Masc\|POS=DET\|PronType=Emp`, `Case=Nom\|POS=PRON\|PronType=Int`, `Link=Yes\|POS=NOUN`, `POS=PART\|PartType=Int`, `POS=INTJ\|Polarity=Pos`, `Link=Yes\|POS=PART\|PartType=Int`, `POS=VERB\|Polarity=Neg`, `Degree=Pos\|POS=ADJ\|PronType=Int`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|PronType=Int\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|PronType=Int\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Voice=Ifoc`, `POS=ADV\|PronType=Int`, `Aspect=Prog\|Mood=Ind\|POS=VERB\|Voice=Act`, `POS=PART\|PartType=Nfh`, `Deixis=Remt\|POS=ADV\|PronType=Dem`, `Aspect=Imp\|Mood=Pot\|POS=VERB\|Voice=Act`, `Link=Yes\|POS=VERB\|Polarity=Pos`, `Link=Yes\|POS=VERB\|Polarity=Neg`, `POS=PART\|PartType=Des`, `Mood=Imp\|POS=AUX\|Polarity=Neg`, `Case=Nom\|Link=Yes\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Link=Yes\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Prog\|Mood=Ind\|POS=VERB\|Voice=Pass`, `Aspect=Prog\|Mood=Ind\|POS=VERB\|Voice=Lfoc`, `Aspect=Prog\|Mood=Ind\|POS=VERB\|Voice=Bfoc`, `POS=DET\|PronType=Tot`, `Case=Dat\|Link=Yes\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Link=Yes\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Mood=Imp\|POS=VERB\|Voice=Act`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Imp\|POS=VERB\|Voice=Lfoc`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Imp\|POS=VERB\|Voice=Pass`, `Case=Gen\|Clusivity=In\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Hab\|POS=VERB\|Voice=Pass`, `Gender=Masc\|Link=Yes\|POS=PROPN`, `Case=Gen\|Link=Yes\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Link=Yes\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `POS=ADJ`, `POS=PART`, `POS=PRON`, `POS=VERB`, `POS=INTJ`, `POS=CCONJ`, `POS=NUM`, `POS=DET` |
+| **`parser`** | `ROOT`, `advmod`, `case`, `dep`, `nmod`, `nsubj`, `obj`, `obl`, `punct` |
+| **`ner`** | `LOC`, `ORG`, `PER` |
+
+</details>

config.cfg

@@ -0,0 +1,220 @@
+[paths]
+parser_model = "training/parser_tagger_md/model-best"
+ner_model = "training/ner_md/model-best"
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+seed = 0
+gpu_allocator = null
+
+[nlp]
+lang = "tl"
+pipeline = ["tok2vec","tagger","morphologizer","parser","ner"]
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 1000
+
+[components]
+
+[components.morphologizer]
+factory = "morphologizer"
+extend = false
+overwrite = true
+scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
+
+[components.morphologizer.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.morphologizer.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = 96
+upstream = "*"
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.ner.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 256
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
+rows = [5000,2500,2500,2500]
+include_static_vectors = true
+
+[components.ner.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 256
+depth = 8
+window_size = 1
+maxout_pieces = 3
+
+[components.parser]
+factory = "parser"
+learn_tokens = false
+min_action_freq = 30
+moves = null
+scorer = {"@scorers":"spacy.parser_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.parser.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "parser"
+extra_state_tokens = false
+hidden_width = 128
+maxout_pieces = 3
+use_upper = true
+nO = null
+
+[components.parser.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = 96
+upstream = "*"
+
+[components.tagger]
+factory = "tagger"
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = 96
+upstream = "*"
+
+[components.tok2vec]
+factory = "tok2vec"
+
+[components.tok2vec.model]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.tok2vec.model.embed]
+@architectures = "spacy.MultiHashEmbed.v1"
+width = 96
+attrs = ["LOWER","PREFIX","SUFFIX","SHAPE"]
+rows = [5000,2500,2500,2500]
+include_static_vectors = false
+
+[components.tok2vec.model.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 96
+depth = 4
+window_size = 1
+maxout_pieces = 3
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[training]
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+before_to_disk = null
+before_update = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+tolerance = 0.2
+get_length = null
+
+[training.batcher.size]
+@schedules = "compounding.v1"
+start = 100
+stop = 1000
+compound = 1.001
+t = 0.0
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+learn_rate = 0.001
+
+[training.score_weights]
+tag_acc = 0.26
+pos_acc = 0.12
+morph_acc = 0.12
+morph_per_feat = null
+dep_uas = 0.12
+dep_las = 0.12
+dep_las_per_type = null
+sents_p = null
+sents_r = null
+sents_f = 0.0
+ents_f = 0.26
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+
+[pretraining]
+
+[initialize]
+vectors = ${paths.parser_model}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]

meta.json

@@ -0,0 +1,192 @@
+{
+  "lang":"tl",
+  "name":"calamancy_md",
+  "version":"0.1.0",
+  "description":"calamanCy: Tagalog NLP pipelines in spaCy",
+  "author":"Lester James V. Miranda",
+  "email":"ljvmiranda@gmail.com",
+  "url":"https://github.com/ljvmiranda921/calamanCy",
+  "license":"CC BY-SA 3.0",
+  "spacy_version":">=3.5.0",
+  "spacy_git_version":"Unknown",
+  "vectors":{
+    "width":200,
+    "vectors":50000,
+    "keys":-1,
+    "name":"tl_pipeline.vectors"
+  },
+  "labels":{
+    "tok2vec":[
+
+    ],
+    "tagger":[
+      "ADJ",
+      "ADJ_PART",
+      "ADP",
+      "ADV",
+      "ADV_PART",
+      "AUX",
+      "CCONJ",
+      "DET",
+      "DET_ADP",
+      "DET_PART",
+      "INTJ",
+      "NOUN",
+      "NOUN_PART",
+      "NUM",
+      "NUM_PART",
+      "PART",
+      "PRON",
+      "PRON_PART",
+      "PROPN",
+      "PUNCT",
+      "SCONJ",
+      "VERB",
+      "VERB_PART"
+    ],
+    "morphologizer":[
+      "Aspect=Perf|Mood=Ind|POS=VERB|Voice=Act",
+      "Case=Nom|POS=ADP",
+      "POS=NOUN",
+      "POS=PUNCT",
+      "Aspect=Perf|Mood=Ind|POS=VERB|Voice=Pass",
+      "Case=Gen|POS=ADP",
+      "Case=Gen|Number=Sing|POS=PRON|Person=1|PronType=Prs",
+      "Aspect=Imp|Mood=Ind|POS=VERB|Voice=Act",
+      "POS=ADV|PronType=Dem",
+      "Foreign=Yes|POS=NOUN",
+      "Degree=Pos|POS=ADJ",
+      "Case=Nom|Number=Sing|POS=PRON|Person=3|PronType=Prs",
+      "Case=Nom|Deixis=Med|Number=Sing|POS=PRON|PronType=Dem",
+      "Gender=Masc|POS=PROPN",
+      "Case=Gen|Number=Sing|POS=PRON|Person=3|PronType=Prs",
+      "Degree=Pos|Link=Yes|POS=ADJ",
+      "POS=ADP",
+      "Case=Dat|POS=ADP",
+      "POS=VERB|Polarity=Pos",
+      "Aspect=Hab|POS=VERB",
+      "POS=SCONJ",
+      "Case=Nom|Number=Sing|POS=PRON|Person=1|PronType=Prs",
+      "Aspect=Prosp|Mood=Ind|POS=VERB|Voice=Act",
+      "POS=ADV",
+      "POS=PART|Polarity=Neg",
+      "Aspect=Imp|Mood=Ind|POS=VERB|Voice=Pass",
+      "Aspect=Perf|Mood=Ind|POS=VERB|Voice=Lfoc",
+      "POS=PROPN",
+      "Case=Nom|Deixis=Prox|Number=Sing|POS=PRON|PronType=Dem",
+      "Gender=Masc|POS=NOUN",
+      "Gender=Fem|POS=NOUN",
+      "Degree=Pos|Gender=Fem|POS=ADJ",
+      "Gender=Fem|POS=PROPN",
+      "Case=Nom|Clusivity=In|Number=Dual|POS=PRON|Person=1|PronType=Prs",
+      "Number=Plur|POS=DET|PronType=Ind",
+      "Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs",
+      "POS=PRON|PronType=Prs|Reflex=Yes",
+      "Gender=Masc|POS=DET|PronType=Emp",
+      "Case=Nom|POS=PRON|PronType=Int",
+      "Link=Yes|POS=NOUN",
+      "POS=PART|PartType=Int",
+      "POS=INTJ|Polarity=Pos",
+      "Link=Yes|POS=PART|PartType=Int",
+      "POS=VERB|Polarity=Neg",
+      "Degree=Pos|POS=ADJ|PronType=Int",
+      "Case=Gen|Number=Plur|POS=PRON|Person=3|PronType=Prs",
+      "Aspect=Perf|Mood=Ind|POS=VERB|PronType=Int|Voice=Act",
+      "Case=Nom|Number=Sing|POS=PRON|Person=2|PronType=Prs",
+      "Aspect=Perf|Mood=Ind|POS=VERB|PronType=Int|Voice=Pass",
+      "Aspect=Perf|Mood=Ind|POS=VERB|Voice=Ifoc",
+      "POS=ADV|PronType=Int",
+      "Aspect=Prog|Mood=Ind|POS=VERB|Voice=Act",
+      "POS=PART|PartType=Nfh",
+      "Deixis=Remt|POS=ADV|PronType=Dem",
+      "Aspect=Imp|Mood=Pot|POS=VERB|Voice=Act",
+      "Link=Yes|POS=VERB|Polarity=Pos",
+      "Link=Yes|POS=VERB|Polarity=Neg",
+      "POS=PART|PartType=Des",
+      "Mood=Imp|POS=AUX|Polarity=Neg",
+      "Case=Nom|Link=Yes|Number=Plur|POS=PRON|Person=2|PronType=Prs",
+      "Case=Nom|Link=Yes|Number=Sing|POS=PRON|Person=3|PronType=Prs",
+      "Aspect=Prog|Mood=Ind|POS=VERB|Voice=Pass",
+      "Aspect=Prog|Mood=Ind|POS=VERB|Voice=Lfoc",
+      "Aspect=Prog|Mood=Ind|POS=VERB|Voice=Bfoc",
+      "POS=DET|PronType=Tot",
+      "Case=Dat|Link=Yes|Number=Sing|POS=PRON|Person=3|PronType=Prs",
+      "Link=Yes|POS=PRON|PronType=Prs|Reflex=Yes",
+      "Mood=Imp|POS=VERB|Voice=Act",
+      "Case=Dat|Number=Sing|POS=PRON|Person=3|PronType=Prs",
+      "Mood=Imp|POS=VERB|Voice=Lfoc",
+      "Case=Gen|Number=Sing|POS=PRON|Person=2|PronType=Prs",
+      "Mood=Imp|POS=VERB|Voice=Pass",
+      "Case=Gen|Clusivity=In|Number=Plur|POS=PRON|Person=1|PronType=Prs",
+      "Aspect=Hab|POS=VERB|Voice=Pass",
+      "Gender=Masc|Link=Yes|POS=PROPN",
+      "Case=Gen|Link=Yes|Number=Sing|POS=PRON|Person=3|PronType=Prs",
+      "Case=Gen|Link=Yes|Number=Sing|POS=PRON|Person=1|PronType=Prs",
+      "POS=ADJ",
+      "POS=PART",
+      "POS=PRON",
+      "POS=VERB",
+      "POS=INTJ",
+      "POS=CCONJ",
+      "POS=NUM",
+      "POS=DET"
+    ],
+    "parser":[
+      "ROOT",
+      "advmod",
+      "case",
+      "dep",
+      "nmod",
+      "nsubj",
+      "obj",
+      "obl",
+      "punct"
+    ],
+    "ner":[
+      "LOC",
+      "ORG",
+      "PER"
+    ]
+  },
+  "pipeline":[
+    "tok2vec",
+    "tagger",
+    "morphologizer",
+    "parser",
+    "ner"
+  ],
+  "components":[
+    "tok2vec",
+    "tagger",
+    "morphologizer",
+    "parser",
+    "ner"
+  ],
+  "disabled":[
+
+  ],
+  "parent_package":"spacy",
+  "requirements":[
+    "spacy-transformers>=1.2.0"
+  ],
+  "sources":[
+    {
+      "name":"TLUnified dataset",
+      "license":"GNU GPL 3.0",
+      "author":"Jan Christian Blaise Cruz and Charibeth Cheng",
+      "url":"https://aclanthology.org/2022.lrec-1.703/"
+    },
+    {
+      "name":"UD_Tagalog-TRG",
+      "license":"CC BY-SA 3.0",
+      "author":"Stephanie Samson, Daniel Zeman, and Mary Ann C. Tan",
+      "url":"https://universaldependencies.org/treebanks/tl_trg/index.html"
+    },
+    {
+      "name":"UD_Tagalog-Ugnayan",
+      "license":"CC BY-NC-SA 4.0",
+      "author":"Angelina Aquino",
+      "url":"https://universaldependencies.org/treebanks/tl_ugnayan/index.html"
+    }
+  ]
+}

morphologizer/cfg

@@ -0,0 +1,178 @@
+{
+  "extend":false,
+  "labels_morph":{
+    "Aspect=Perf|Mood=Ind|POS=VERB|Voice=Act":"Aspect=Perf|Mood=Ind|Voice=Act",
+    "Case=Nom|POS=ADP":"Case=Nom",
+    "POS=NOUN":"",
+    "POS=PUNCT":"",
+    "Aspect=Perf|Mood=Ind|POS=VERB|Voice=Pass":"Aspect=Perf|Mood=Ind|Voice=Pass",
+    "Case=Gen|POS=ADP":"Case=Gen",
+    "Case=Gen|Number=Sing|POS=PRON|Person=1|PronType=Prs":"Case=Gen|Number=Sing|Person=1|PronType=Prs",
+    "Aspect=Imp|Mood=Ind|POS=VERB|Voice=Act":"Aspect=Imp|Mood=Ind|Voice=Act",
+    "POS=ADV|PronType=Dem":"PronType=Dem",
+    "Foreign=Yes|POS=NOUN":"Foreign=Yes",
+    "Degree=Pos|POS=ADJ":"Degree=Pos",
+    "Case=Nom|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Nom|Number=Sing|Person=3|PronType=Prs",
+    "Case=Nom|Deixis=Med|Number=Sing|POS=PRON|PronType=Dem":"Case=Nom|Deixis=Med|Number=Sing|PronType=Dem",
+    "Gender=Masc|POS=PROPN":"Gender=Masc",
+    "Case=Gen|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Gen|Number=Sing|Person=3|PronType=Prs",
+    "Degree=Pos|Link=Yes|POS=ADJ":"Degree=Pos|Link=Yes",
+    "POS=ADP":"",
+    "Case=Dat|POS=ADP":"Case=Dat",
+    "POS=VERB|Polarity=Pos":"Polarity=Pos",
+    "Aspect=Hab|POS=VERB":"Aspect=Hab",
+    "POS=SCONJ":"",
+    "Case=Nom|Number=Sing|POS=PRON|Person=1|PronType=Prs":"Case=Nom|Number=Sing|Person=1|PronType=Prs",
+    "Aspect=Prosp|Mood=Ind|POS=VERB|Voice=Act":"Aspect=Prosp|Mood=Ind|Voice=Act",
+    "POS=ADV":"",
+    "POS=PART|Polarity=Neg":"Polarity=Neg",
+    "Aspect=Imp|Mood=Ind|POS=VERB|Voice=Pass":"Aspect=Imp|Mood=Ind|Voice=Pass",
+    "Aspect=Perf|Mood=Ind|POS=VERB|Voice=Lfoc":"Aspect=Perf|Mood=Ind|Voice=Lfoc",
+    "POS=PROPN":"",
+    "Case=Nom|Deixis=Prox|Number=Sing|POS=PRON|PronType=Dem":"Case=Nom|Deixis=Prox|Number=Sing|PronType=Dem",
+    "Gender=Masc|POS=NOUN":"Gender=Masc",
+    "Gender=Fem|POS=NOUN":"Gender=Fem",
+    "Degree=Pos|Gender=Fem|POS=ADJ":"Degree=Pos|Gender=Fem",
+    "Gender=Fem|POS=PROPN":"Gender=Fem",
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+    "Number=Plur|POS=DET|PronType=Ind":"Number=Plur|PronType=Ind",
+    "Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs":"Case=Nom|Number=Plur|Person=3|PronType=Prs",
+    "POS=PRON|PronType=Prs|Reflex=Yes":"PronType=Prs|Reflex=Yes",
+    "Gender=Masc|POS=DET|PronType=Emp":"Gender=Masc|PronType=Emp",
+    "Case=Nom|POS=PRON|PronType=Int":"Case=Nom|PronType=Int",
+    "Link=Yes|POS=NOUN":"Link=Yes",
+    "POS=PART|PartType=Int":"PartType=Int",
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+    "Link=Yes|POS=PART|PartType=Int":"Link=Yes|PartType=Int",
+    "POS=VERB|Polarity=Neg":"Polarity=Neg",
+    "Degree=Pos|POS=ADJ|PronType=Int":"Degree=Pos|PronType=Int",
+    "Case=Gen|Number=Plur|POS=PRON|Person=3|PronType=Prs":"Case=Gen|Number=Plur|Person=3|PronType=Prs",
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+    "Mood=Imp|POS=VERB|Voice=Lfoc":"Mood=Imp|Voice=Lfoc",
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+    "Mood=Imp|POS=VERB|Voice=Pass":"Mood=Imp|Voice=Pass",
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+    "Aspect=Hab|POS=VERB|Voice=Pass":"Aspect=Hab|Voice=Pass",
+    "Gender=Masc|Link=Yes|POS=PROPN":"Gender=Masc|Link=Yes",
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tagger/cfg

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