lemmatize

(redirected from lemmatising)

lemmatize

(ˈlɛməˌtaɪz) or

lemmatise

vb
(Linguistics) (tr) linguistics to group together the inflected forms of (a word) for analysis as a single item
ˌlemmatiˈzation, ˌlemmatiˈsation n

lem•ma•tize

(ˈlɛm əˌtaɪz)

v.t. -tized, -tiz•ing.
to sort (words in a list or text) in order to determine the headwords, under which related words, as inflected forms, are then listed.
[1965–70; < Greek lēmmat-, s. of lêmma (see lemma1) + -ize]
lem`ma•ti•za′tion, n.

lemmatize


Past participle: lemmatized
Gerund: lemmatizing

Imperative
lemmatize
lemmatize
Present
I lemmatize
you lemmatize
he/she/it lemmatizes
we lemmatize
you lemmatize
they lemmatize
Preterite
I lemmatized
you lemmatized
he/she/it lemmatized
we lemmatized
you lemmatized
they lemmatized
Present Continuous
I am lemmatizing
you are lemmatizing
he/she/it is lemmatizing
we are lemmatizing
you are lemmatizing
they are lemmatizing
Present Perfect
I have lemmatized
you have lemmatized
he/she/it has lemmatized
we have lemmatized
you have lemmatized
they have lemmatized
Past Continuous
I was lemmatizing
you were lemmatizing
he/she/it was lemmatizing
we were lemmatizing
you were lemmatizing
they were lemmatizing
Past Perfect
I had lemmatized
you had lemmatized
he/she/it had lemmatized
we had lemmatized
you had lemmatized
they had lemmatized
Future
I will lemmatize
you will lemmatize
he/she/it will lemmatize
we will lemmatize
you will lemmatize
they will lemmatize
Future Perfect
I will have lemmatized
you will have lemmatized
he/she/it will have lemmatized
we will have lemmatized
you will have lemmatized
they will have lemmatized
Future Continuous
I will be lemmatizing
you will be lemmatizing
he/she/it will be lemmatizing
we will be lemmatizing
you will be lemmatizing
they will be lemmatizing
Present Perfect Continuous
I have been lemmatizing
you have been lemmatizing
he/she/it has been lemmatizing
we have been lemmatizing
you have been lemmatizing
they have been lemmatizing
Future Perfect Continuous
I will have been lemmatizing
you will have been lemmatizing
he/she/it will have been lemmatizing
we will have been lemmatizing
you will have been lemmatizing
they will have been lemmatizing
Past Perfect Continuous
I had been lemmatizing
you had been lemmatizing
he/she/it had been lemmatizing
we had been lemmatizing
you had been lemmatizing
they had been lemmatizing
Conditional
I would lemmatize
you would lemmatize
he/she/it would lemmatize
we would lemmatize
you would lemmatize
they would lemmatize
Past Conditional
I would have lemmatized
you would have lemmatized
he/she/it would have lemmatized
we would have lemmatized
you would have lemmatized
they would have lemmatized
Translations
lemmatisieren

lemmatize

[ˈlemətaɪz] VTlematizar
References in periodicals archive ?
hipernimija" being lemmatised as "hipemimi" [hypernyms] and not as "hipernimija" [hypemymy]), there are systematic errors when lemmatising Slovene adjectives in comparative and superlative form, where the base form is not chosen as a lemma.
Together with the ToTrTaLe web service, we developed a series of widgets (workflow components) for pre-processing the text, consisting of reading the text corpus files in various formats, tokenising the text, lemmatising and morphosyntactically annotating it, as well as adding the sentence boundaries, followed by a post-processing widget for error correction.
Machine Learning of Language Structure: Lemmatising Unknown Slovene Words.
Additionally, WST offers the possibility of reducing these lists and meaningfully organising them by semi-automatically lemmatising items both in English and Spanish (apart from many other languages) so that in the lemmatised display, units with the same stem are grouped under the same lemma; for instance, firing, fires and fired are grouped under the lemma fire, that is, under a single position.
In corpus linguistics it is more common to refer to lemmatising a text that is, associating each word in the text with its lemma.
Grammatical tagging, stemming, morphological analysis and lemmatising are all ancient and closely related practices, and they were formally brought together in the Latin classroom; but the connections are not always clear in modern computational practice.
We have had to ask some fundamental questions, why we want to tag and parse a text in the first place, or how a stemmer is related to lemmatising and morphological analysis.
Machine learning of morphosyntactic structure: lemmatising unknown Slovene words.