- Term properties
`rank`

[Integer]`isSingleWord`

,`isSwt`

[Boolean]`documentFrequency`

,`dFreq`

[Integer]`frequencyNorm`

,`fNorm`

[Double]`generalFrequencyNorm`

,`gfNorm`

[Double]`specificity`

,`spec`

[Double]`frequency`

,`freq`

[Integer]`OrthographicScore`

,`ortho`

[Double]`IndependantFrequency`

,`iFreq`

[Integer]`Independance`

,`ind`

[Double]`pilot`

[String]`lemma`

[String]`tf-idf`

,`tfIdf`

[Double]`spec-idf`

,`specIdf`

[Double]`groupingKey`

,`key`

[String]`pattern`

[String]`spottingRule`

,`rule`

[String]`isFixedExpression`

,`isFixedExp`

[Boolean]`SwtSize`

,`swtSize`

[Integer]`Filtered`

,`isFiltered`

[Boolean]`Depth`

,`depth`

[Integer]

- Relation properties
`VariationRank`

,`vRank`

[Integer]`VariationRule`

,`vRules`

[Set]`DerivationType`

,`derivType`

[String]`GraphSimilarity`

,`graphSim`

[Double]`Score`

,`vScore`

[Double]`AffixGain`

,`affGain`

[Double]`AffixSpec`

,`affSpec`

[Double]`AffixRatio`

,`affRatio`

[Double]`AffixScore`

,`affScore`

[Double]`NormalizedAffixScore`

,`nAffScore`

[Double]`AffixOrthographicScore`

,`affOrtho`

[Double]`ExtensionScore`

,`extScore`

[Double]`NormalizedExtensionScore`

,`nExtScore`

[Double]`HasExtensionAffix`

,`hasExtAffix`

[Boolean]`IsExtension`

,`isExt`

[Boolean]`VariantBagFrequency`

,`vBagFreq`

[Integer]`SourceGain`

,`srcGain`

[Double]`NormalizedSourceGain`

,`nSrcGain`

[Double]`IsInfered`

,`isInfered`

[Boolean]`IsGraphical`

,`isGraph`

[Boolean]`IsDerivation`

,`isDeriv`

[Boolean]`IsPrefixation`

,`isPref`

[Boolean]`IsSyntagmatic`

,`isSyntag`

[Boolean]`IsMorphological`

,`isMorph`

[Boolean]`IsSemantic`

,`isSem`

[Boolean]`Distributional`

,`isDistrib`

[Boolean]`SemanticSimilarity`

,`semSim`

[Double]`Dico`

,`isDico`

[Boolean]`SemanticScore`

,`semScore`

[Double]

### Term properties

`rank`

[Integer]

The rank of the term assigned by TermSuite post-processor engine.

`isSingleWord`

, `isSwt`

[Boolean]

Wether this term is single-word or not.

`documentFrequency`

, `dFreq`

[Integer]

The number of documents in corpus in which the term is occurring.

`frequencyNorm`

, `fNorm`

[Double]

The number of occurrences of the term in the corpus every 1000 words.

`generalFrequencyNorm`

, `gfNorm`

[Double]

The number of occurrences of the term in the general language corpus every 1000 words.

`specificity`

, `spec`

[Double]

The weirdness ratio, i.e. the specificity of the term in the corpus in comparison to general language.

`frequency`

, `freq`

[Integer]

The number of occurrences of the term in the corpus.

`OrthographicScore`

, `ortho`

[Double]

The probability for the covered text of the term for being an actual term assigned by TermSuite post-processor engine.

`IndependantFrequency`

, `iFreq`

[Integer]

The number of times a term occurrs in corpus as it is, i.e. not as any of its variant forms, assigned by TermSuite post-processor engine.

`Independance`

, `ind`

[Double]

The

`IndependantFrequency`

divided by`frequency`

, assigned by TermSuite post-processor engine.

`pilot`

[String]

The most frequent form of the term.

`lemma`

[String]

The concatenation of the term’s word lemmas.

`tf-idf`

, `tfIdf`

[Double]

`frequency`

divided by`DOCUMENT_FREQUENCY`

.

`spec-idf`

, `specIdf`

[Double]

`specificity`

divided by`DOCUMENT_FREQUENCY`

.

`groupingKey`

, `key`

[String]

The unique id of the term, built on its pattern and its lemma.

`pattern`

[String]

The pattern of the term, i.e. the concatenation of syntactic labels of its words.

`spottingRule`

, `rule`

[String]

The name of the UIMA Tokens Regex spotting rule that found the term in the corpus.

`isFixedExpression`

, `isFixedExp`

[Boolean]

Wether the term is a fixed expression.

`SwtSize`

, `swtSize`

[Integer]

The number of words composing the term that are single-words.

`Filtered`

, `isFiltered`

[Boolean]

Wether the term has been marked as filtered by TermSuite post-processor engine. Usually, such a term is not meant to be displayed.

`Depth`

, `depth`

[Integer]

The minimum level of extensions of the term starting from a single-word term.

### Relation properties

`VariationRank`

, `vRank`

[Integer]

The rank of the variation among all variations starting from the same source term, when the relation is a variation.

`VariationRule`

, `vRules`

[Set]

The set of YAML variation rules that detected this pair of terms as a term variation, when the relation is a variation.

`DerivationType`

, `derivType`

[String]

The derivation type of the variation, when the relation is a variation.

`GraphSimilarity`

, `graphSim`

[Double]

The edition distance between the two terms of the relation.

`Score`

, `vScore`

[Double]

The global variation score of the relation assigned by TermSuite post-processor engine, when the relation if a variation.

`AffixGain`

, `affGain`

[Double]

When the relation is a variation of type “extension”, the FREQUENCY of the variant divided by the FREQUENCY of the affix term.

`AffixSpec`

, `affSpec`

[Double]

When the relation is a variation of type “extension”, the SPECIFICITY of the affix term.

`AffixRatio`

, `affRatio`

[Double]

When the relation is a variation of type “extension”, the FREQUENCY of the affix term divided by the FREQUENCY of the base term.

`AffixScore`

, `affScore`

[Double]

When the relation is a variation of type “extension”, the weighted average of

`AFFIX_GAIN`

and`AFFIX_RATIO`

.

`NormalizedAffixScore`

, `nAffScore`

[Double]

When the relation is a variation of type “extension”, the min-max normalization of

`AffixScore`

.

`AffixOrthographicScore`

, `affOrtho`

[Double]

When the relation is a variation of type “extension”, the orthographic score of extension affix term.

`ExtensionScore`

, `extScore`

[Double]

When the relation is a variation of type “extension”, the score of the extension affix term (combines

`AffixGain`

and`AffixGain`

).

`NormalizedExtensionScore`

, `nExtScore`

[Double]

When the relation is a variation of type “extension”, the min-max normalization of

`ExtensionScore`

.

`HasExtensionAffix`

, `hasExtAffix`

[Boolean]

When the relation is a variation of type “extension”, wether there is an affix term.

`IsExtension`

, `isExt`

[Boolean]

Wether this relation is an extension.

`VariantBagFrequency`

, `vBagFreq`

[Integer]

When the relation is a variation, the total of number of occurrences of the variant term and of variant’s variant terms (order-2 variants).

`SourceGain`

, `srcGain`

[Double]

When the relation is a variation, the log10 of

`VariantBagFrequency`

divided by the FREQUENCY of the base term.

`NormalizedSourceGain`

, `nSrcGain`

[Double]

When the relation is a variation of type “extension”, the linear normalization of

`SourceGain`

.

`IsInfered`

, `isInfered`

[Boolean]

When the relation is a variation, wether it has been infered from two other base variations.

`IsGraphical`

, `isGraph`

[Boolean]

When the relation is a variation, wether there is a graphical similarity between the two terms.

`IsDerivation`

, `isDeriv`

[Boolean]

When the relation is a variation, wether one term is the derivation of the other.

`IsPrefixation`

, `isPref`

[Boolean]

When the relation is a variation, wether one term is the prefix of the other.

`IsSyntagmatic`

, `isSyntag`

[Boolean]

When the relation is a variation, wether it is a syntagmatic variation.

`IsMorphological`

, `isMorph`

[Boolean]

When the relation is a variation, wether the variation implies morphosyntactic variations.

`IsSemantic`

, `isSem`

[Boolean]

When the relation is a variation, wether there is a semantic similarity between the two terms.

`Distributional`

, `isDistrib`

[Boolean]

When the relation is a semantic relation, wheter the relation is of type “distributional”, i.e. the variation has been found by context vector alignment.

`SemanticSimilarity`

, `semSim`

[Double]

When the relation is a semantic variation found by alignment, the similarity of the two context vectors of the two terms of the relation.

`Dico`

, `isDico`

[Boolean]

When the relation is a semantic relation, wheter the relation is of type “dictionary”, i.e. the variation has been found with a synonymic dico.

`SemanticScore`

, `semScore`

[Double]

When the relation is a semantic variation, the score of pertinency of the variation. This property is set for all types of semantic variations, both from dico and distributional.