N1904addons - Feature: md{num}_{inf_elem}

Feature group	Feature type	Data type	Available for node types	Feature status
`Morpheus`	`Node`	`str`	`word`	🆗

Feature description

Value for property {inf_elem} reported by Morpheus analysis block #{num}.

This is a Morpheus detail data feature.

Feature names and values

This page documents about 750 Text-Fabric features named like md3_case, md17_end_codes, md12_lem_full_uc or md1_morph. They collectively form the class of Morpheus detail features (more info).

The labels {num} and {inf_elem} are placeholders, which stand for:

{num}: The sequence number of a Morpheus analysis block, ranging from 1 to 24 (the maximum number of returned analysis blocks).
{inf_elem}: One of the properties listed in the table below.

Category	{inf_elem}	Data type	Description	Examples
Grammatical	case	`str`	Slash separated list with grammatical case(s).	`nom` `gen` `nom/voc/acc`
	degree	`str`	Grammatical degree.	`comparative`
	gender	`str`	Slash separated list with grammatical gender(s).	`masc` `neut` `masc/fem`
	mood	`str`	Verb grammatical mood.	`indicative` `participle`
	number	`str`	Grammatical number.	`sg` `dual` `pl`
	tense	`str`	Verb grammatical tense	`aorist` `present`
	voice	`str`	Verb grammatical voice.	`active` `middle/passive`
Additional details	dialect	`str`	Slash separated list of dialect(s).	`attic` `doric/aeolic`
	morph_codes	`str`	List of morp codes provided by Morpheus.
	morph_flags	`str`	List of morp flags provided by Morpheus.	`indeclform` `ind/nu_movable`
Wordform	aug1_bc	`str`	(:aug) Augment mapping in betacode.	`i)>ei)` `a)>h)`
	aug1_uc	`str`	(:aug) Augment mapping in unicode.	`ἰ>εἰ` `ἐ>ἠ`
	end_bc	`str`	(:end) Wordform ending in betacode.	`ous` `ws` `en`
	end_uc	`str`	(:end) Wordform ending in unicode.	`ες` `να` `εν`
	lem_base_bc	`str`	(:lem) Base lemma in betacode.	`*bi/blos` `ui(o/s`
	lem_base_uc	`str`	(:lem) Base lemma in unicode.	`ἀδελφός` `γεννάω`
	lem_full_bc	`str`	(:lem) Full lemma in betacode (incl. homonym or pl marker).	`*bi/blos` `ge/nesis`
	lem_full_uc	`str`	(:lem) Full lemma in unicode (incl. homonym or pl marker).	`Βίβλος` `γένεσις`
	lem_homonym	`str`	(:lem) Set to '1' if this is a homonym lemma.	`1` <empty>
	lem_pl_suffix	`str`	(:lem) PL suffix of lemma (if '1' often proper or geographic name).	`1` <empty>
	prvb_bc	`str`	(:prvb) Space separated list of prepositions in betacode.	`meta/ a)na/` `su/n`
	prvb_uc	`str`	(:prvb) Slash separated list of prepositions in unicode.	`ἐκ/ἐπί` `πρός`
	stem_bc	`str`	(:stem) Stem in betacode.	`meta/ a)na/` `su/n`
	stem_uc	`str`	(:stem)Stem in unicode.	`ἐκ ἐπί` `πρός`
Codes and flags	end_codes	`str`	(:end) Slash separated list of codes for ending (mainly references to endtables in stemlib).	`os_ou` `os_ou/os_ou`
	end_flags	`str`	(:end) Slash separated list of flags for ending (mainly additional morphological properties).	`nu_movable` `contr`
	stem_codes	`str`	(:stem) Slash separated list of morph codes for stem (mainly references to endtables in stemlib).	`os_h_on` `aor1/aw_denom`
	stem_flags	`str`	(:stem) Slash separated list of morph flags for stem (mainly additional morphological properties).	`..` `indeclform`
Derived	gram_dif	`str`	Field indicating grammatical differences with morph tag in N1904-TF. See also using the gram_dif feature.	`lp.n.tmv.` `.cng....`
	morph	`str`	Slash separated list of derived morphtag(s) following Sandborg-Petersen morphology (comparable to feature morph in N1904-TF).	`V-AAI-3S` `N-NDF/N-VDF/N-ADF`
	pos	`str`	Determined Part of Speech (POS).	`verb` `preposition`

Using these features

IMPORTANT
The .tf files for these features are located at "N1904addons/detailed_set" and not standard part of the N1904addons. To use these features you need to load both the N1904addons and the detailed feature set.

To load both the ‘standard’ N1904addon features and the detailed_set, you need to invoking Text-Fabric like:

A = use ("CenterBLC/N1904", version="1.0.0", silence="terse", mod=["tonyjurg/N1904addons/tf/", "tonyjurg/N1904addons/detailed_set"], hoist=globals())

Programmatic access

There are several methods to access the features programmaticaly. One method is to use a variable as feature name in combination with the Fs(ffff) method:

for wordNode in wordNodeList
    for block in range(1, 25):
        feat = f"md{block}_gender"          # e.g. "md5_gender"
        gender = Fs(feat).v(wordNode)

This works fine when just looking up a few feature values. A more efficent approach is to first create a straight hash-table:

BLOCK_RANGE  = range(1, 25)
gender_feat   = {b: Fs(f"md{b}_gender")  for b in BLOCK_RANGE}

for wordNode in wordNodeList
    for block in range(1, 25):
        gender = gender_feat[block].v(wordNode)

Both functions deliver the same result, but the second on is much faster, especialy if there are many iterations in the loop. See also ‘Using the Morpheus features’ or the associated Jupyter notebook.

Morpheus analytic blocks

The following image shows an example of a Morpheus analyses block.