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Extracting Lexical Units for Identifying Specialized Semantic Frames

Abstract

    The paper discusses the idea of using parallel corpora for the extraction of terminological units used to identify semantic frames of aviation, as the first step in developing a method for determining specialized semantic frames. The process of compiling the parallel corpus of texts taken from the Eur-Lex database using Sketch Engine tools is described first. The methodology of extracting term candidates and their manual verification is then presented, as well as the process of extracting and verifying relevant verbs. The results of term verification are discussed, with the focus on the role of verbs and verbal collocations in identifying relevant semantic frames and frame elements.

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Extracting Lexical Units for Identifying Specialized Semantic Frames

Author: Ana Ostroški Anić; Maja Lončar; Martina Pavić
Year: 2019
DOI: 10.35321/ter
Source: https://journals.lki.lt/terminologija/article/download/378/457
73Te minologia | 2019 | 26
doi.o g/10.35321/ e m26-04
Ex ac ing Lexical Uni s o Iden i ying
Specialized Seman ic F ames1
AnA Os Oški Anić
Ins i u e o C oa ian Language and Linguis ics
MAjA LOnčA
Ins i u e o C oa ian Language and Linguis ics
MA inA PA ić
Ins i u e o C oa ian Language and Linguis ics
AbS Ac he pape discusses he idea o using pa allel co po a o he ex ac ion o
e minological uni s used o iden i y seman ic ames o a ia ion, as he i s s ep in
de eloping a me hod o de e mining specialized seman ic ames. he p ocess o
compiling he pa allel co pus o ex s aken om he Eu -Lex da abase using Ske ch
Engine ools is desc ibed i s . he me hodology o ex ac ing e m candida es and
hei manual e i ica ion is hen p esen ed, as well as he p ocess o ex ac ing and
e i ying ele an e bs. he esul s o e m e i ica ion a e discussed, wi h he ocus
on he ole o e bs and e bal colloca ions in iden i ying ele an seman ic ames and
ame elemen s. Keywo ds: a ia ion e minology, English-c oa ian co pus, seman ic
ames, specialized knowledge, e minology.
Ano AcIjA
O a igo nesse conside as oma, como pa alelag a ieji eks ynai podem se usados pa a unidades e minijas,
aplicabiems eimas seman íneas da a iação de e mina , seleciona . es e é o p imei o mé odo pa a
especializados seman ís icos eimas de e mina o es ágio de c iação. Em p imei o luga desc e e-se como,
com base na base de dados Eu -Lex e u ilizando Ske ch Engine ins umen os, é p epa ado um pa alag a usis
coleção de ex os. En ão são ap esen ados mé odos de selecção de a ian es de e mos e sua e i icação
manualmen e bei 1 his pape is based on he alk F om pa allel co po a o specialized seman ic ames, gi en
a he 3 d in e na ional con e ence on e minology Scien i ic, Adminis a i e and Educa ional Dimensions o
Te minology in Vilnius, 1718 oc obe 2019. his wo k has been ully suppo ed by he c oa ian Science Founda ion
unde he p ojec H ZZ-UIP-2017-05-7169.
7 Ana Os oški Anić Ex ac ing Lexical Uni s o Iden i ying p ocesso de seleção e
Maja Lonča Specialized Seman ic F ames
Ma ina Pa ić
e i icação de açõesmažodžių adequados. Ap a iando e mos da pa só inimo esul ados
especial a enção é de ida ao accionmajodzes e pala as conjugiais olindeni, es abelecem
ap op iados seman iniai eimai e seus elemen os. pala as essenciais: a iação e minija,
ex os de línguas ingles e c oa as, seman iniai eimai, especializadas žinias, e minologija.
In oDUc Ion he e ha e been nume ous applica ions o he heo y o F ame
Seman ics (Fillmo e 1976, 1982) in lexicog aphy and compu a ional linguis ics,
mos known o which is ce ainly he lexical knowledge da abase F amene
(Fillmo e e al. 2003; uppenho e e al. 2017). he wo k on mapping ela ions
be ween syn ax and seman ics, which F amene essen ially is, has no only
inspi ed simila p ojec s conce ning o he languages besides English, bu has
also pa ed he way o esea ch on specialized knowledge and he o ganiza ion
o specialized knowledge ca ego ies based on seman ic ames.
independen emen e de se eles ade em à me odologias F amene in imamen e ou
eles aplicam uma abo dagem modi icada pa a iden i ica e delineando seman ic
ames como ipos o ca ego ies, he p ojec s c ea ed a ound building
esou ces designed o specialized knowledge communi ies needed o ake in o
accoun he speci ics o e minology and he con ex o languages o speci ic
pu poses as opposed o gene al language and i s use (Fabe e al. 2006; 2009;
LHomme 2012). he e has been no lexical esou ce de eloped o he c oa ian
language ha is comple ely based on F amene s me hodology and seman ic
in en o y. ce ain seman ic ames ha e been de ined as pa o a la ge
da abase o concep ual me apho s in c oa ian (Despo e al. 2019). Howe e , a
da abase o seman ic ames o a ia ion, which is being de eloped wi hin he
esea ch p ojec he Dynamici y o Specialized Knowledge Ca ego ies (DIKA,
ihjj.h /dika), is he i s a emp a building such a specialized da abase o
c oa ian. he p ojec deals wi h he desc ip ion o concep ual and linguis ic
le els o specialized knowledge ca ego ies wi hin he dynamic na u e o
seman ic ames. he p ojec s key ou pu is a mul ilingual e minological
da abase in which a ia ion e minology is de ined in seman ic ames, including
ame elemen s, concep ual ela ions, and igu a i e and ph aseological
e minological uni s. A pa allel co pus o English and C oa ian ex s in he
domain o ai a ic has been compiled o he pu poses o seman ic and
syn ac ic analysis, and i will se e as
7Te minologija | 2019 | 26 he s a ing poin o e m ex ac ion and e m
analysis. he subdomain his pape discusses he idea o using pa allel co po a
o ai a ic has been chosen as he mos ep esen a i e aspec o he as
and in e disciplina y ield o a ia ion.
o he ex ac ion o e minological uni s e e ing o speci ic seman ic
ames o a ia ion, as he i s s ep in de eloping a me hod o de e mining
seman ic ames and hei concep ual ela ions in he ield o a ia ion. Embo a
pa allel co po a ha e long been ecognized as in aluable sou ces o e m
candida es o building a ious specialized esou ces (Vin a 2000), hey ha e so
a been li le used in applied esea ch e e ing o F ame Seman ics.2 he
p ocess o compiling he pa allel co pus o ex s aken om he Eu -Lex
da abase using Ske ch Engine ools is desc ibed i s . he me hodology o
ex ac ing e m candida es and hei manual e i ica ion is hen p esen ed, as
well as he p ocess o ex ac ing and e i ying ele an e bs. he esul s o
e m e i ica ion a e p esen ed and commen ed on, ollowed by he discussion
o he po en ial use o e bs and e bal colloca ions in iden i ying ele an
seman ic ames and ame elemen s in he ield o a ia ion.3
1. HEo E IcAL bAcKG oUnD
In con empo a y e minology and LSP communi ies, specialized knowledge esou ces a e no longe buil
a ound he desc ip ion o hie a chical ela ions only because i is conside ed hey do no e lec he
dynamic na u e o he knowledge ca ego ies (Fabe e al. 2006; 2009; LHomme, obichaud 2014). Além disso, he
o mal dis inc ion be ween a dic iona y and a lexicon ha he whole adi ional e minog aphy is based on
seems o ha e been blu ed wi h mo e and mo e specialized esou ces employing he me hods o
compila ion and knowledge p esen a ion o he wise used in c ea ing gene al language esou ces (LHomme e
al. 2016; LHomme 2018). Lexical and seman ic esou ces buil on he p emises o F ame Seman ics de ine
knowledge in e ms o seman ic ames as a ype o dynamic ca ego ies o in ica e elemen s and mu ual
ela ions. Each seman ic ame is de ined as a ype o e en o s a e wi h i s pa icipan s, called ame
elemen s (FEs). Seman ic ames a e in oked by 2 Pa allel co po a would ce ainly each hei ull po en ial
in he c ea ion o mul ilingual lexical eposi o ies based on seman ic ames (boas 2005). 3 We hank he
anonymous e iewe s o hei in aluable commen s and sugges ions.
7 Ana Os oški Anić Ex ac ing Lexical Uni s o Iden i ying lexical uni s, i.e.
Maja Lonča Specialized Seman ic F ames
Ma ina Pa ić
wo ds in e e yday language o e ms in specialized knowledge, which
ins an ia e ame elemen s. he basic c i e ion o delimi ing one ame om
ano he is ha all lexical uni s should e oke he same ype o e en and sha e
he same in en o y and con igu a ion o FEs ( uppenho e e al. 2017: 384385).
his me hod o a i ing a he scope o seman ic ames and hei
de ini ions could be, howe e , conside ed an a bi a y one because i does no
equi e a p e ious o e iew o he a ailable lexical da a. Since many ames
ollow a scena io-like composi ion, hei desc ip ion usually s a s om
selec ing ele an e bs ( uppenho e e al. 2010) o which app op ia e
a gumen s a e added ollowing he anno a ion o examples ex ac ed om
he co pus. Embo a lexical uni s and ame elemen s a e de ined acco ding o
he analyzed co pus da a, seman ic ames a e ne e heless mos ly
in ui i ely iden i ied and named. In iden i ying seman ic ames o a ce ain
specialized knowledge domain, i would be mo e sui able o i s delinea e he
scope o knowledge being de ined, which in e minology wo k is done h ough
he iden i ica ion o key concep s and concep ual ela ions in he domain.
e minological esea ch has closely kep ack o de elopmen s in linguis ics
o e he pas wo decades, and has shi ed i s heo e ical ocus o analyzing
p ocesses and e en s as mo e dynamic specialized knowledge s uc u es.
he e o e, i has become clea ha p edica i e e ms ( e bs, adjec i es,
ad e bs and ce ain nouns) o en deno e key concep s o a domain
e minology (LHomme 1998; Pimen el 2012; LHomme, obichaud 2014). Fo
ins ance, e ms communica e, ly, ake o , and anspo a e ypically
p esen in he ield o a ia ion, as well as e ms o a numbe o p ocedu es
ha we on ologically de ine as p ocesses o ac i i ies. Embo a a noção de
e mhood seja bas an e bem comp eendida en e e minólogos quando se
a a de de e mina o concep ual le el o e ms, he c i e ia o choosing
which ypes o lexical uni s should be included as e ms in a e minological
esou ce s ill di e depending on he ield analyzed and he heo e ical
amewo k applied. he c i e ia o de ining ypes o e bs ca ying
specialized meaning p oposed by LHomme (1998, 2015) a e mos e e ed o in
e minological li e a u e, along wi h Lo en es c i e ia and he ypology o
e bs in specialized discou se (2002, 2007). LHomme dis inguis among h ee
ypes o e bs in specialized ex s: e bs speci ic o a ce ain ield (e.g. land,
ake o ), e bs ha acqui e specialized meaning in he ield (e.g. ope a e), and
e bs o gene al lan he c i e ia o deciding whe he a e b akes on a new,
specialized meaning in a gi en con ex should ye be mo e p ecisely de ined.
7Te minologia | 2019 | 26 guage.4 Ve bos que pe encem a he i s and second
ypes podem se labelled como e ms, bu e bs o he second ype p esen
a mo e in e es ing g oup o e minological analysis because he e a e
cases when i is no clea whe he he meaning is di e en enough om he
e bs canonical o de aul gene al dic iona y meaning.
he c i e ia o deciding whe he a e b can be classi ied as a e m depend,
acco ding o LHomme (1998, 2015), on i s a gumen s and i s mo phological and
seman ical ela ion o lexical uni s o he same meaning ha a e de ined as
e ms. In sho , i a e b has a gumen s ha a e de ined as e ms, i is likely
o be a e m i sel , as in he sen ence The pilo lies he helicop e . Also, i he
noun akeo is de ined as a e m, hen he e b ake o should also be
de ined as one. We ha e applied hese c i e ia in ou analysis o ex ac ed
e bs, o which mo e is said in sec ion 4.
2. MEHoDS
In o de o de elop a alid me hodology o iden i ying specialized seman ic
ames, se e al s eps had o be aken. Fi s , a pa allel Englishc oa ian co pus
was c ea ed. he second s age consis ed o e m ex ac ion and alida ion o
e m candida es lis s. he hi d s ep included ex ac ing a lis o e bs and
analysing hei colloca ions bea ing specialized meaning.
2.1. Co pus compila ion he co pus is compiled om he Di ec o y o legal ac s o he Eu opean Union,
chap e T anspo policy, subchap e Ai anspo in English and c oa ian. ou o 220 documen s om he
Ai anspo subchap e , 178 legal ac s a e aken ha ing bo h (English and c oa ian) language e sions. he
ex s a e downloaded om he EU -Lex da abase,5 and en e ed in o he Ske ch Engines co pus compila ion
module.6 he simples way o c ea e a pa allel co pus in Ske ch Engine is o upload da a 4 LHomme (2015)
u he classi ies gene al language e bs in o suppo e bs (a e Le a 2002) and discu si e e bs
( ollowing Lo en e and he classi ica ion om 2002). See Pimen el (2017) o a ecen elabo a ion o hese
wo app oaches o ypology o e bs in specialized ex s. 5 A ailable a :
h ps://eu -lex.eu opa.eu/b owse/di ec o ies/legisla ion.h ml [accessed 05.09.2019]. 6 A ailable a :
h ps://www.ske chengine.eu/use -guide use -manual/co po a/se ing-up-pa allel-co po a
[accessado 05.09.2019].

8 Ana Os oški Anić Ex ac ing Lexical Uni s o Iden i ying in a abula
Maja Lonča Specialized Seman ic F ames
Ma ina Pa ić
o ma such as a sp eadshee (Excel). Sp eadshee s mus con ain language
names in he i s ow and hen aligned segmen s (wo d, sen ences, o
pa ag aphs) side by side.
E e y documen (legal ac ) was p ocessed o ge one column o each language. In
o de o achie e his, bulle s and numbe ing, as well as nusou ce ile was
me ical pa o ables in documen s we e emo ed. Each language in he
p ocessed in o a sepa a e monolingual co pus and aligned wi h he co esponding
co pus in he o he language. 1. size o he pa allel english-c oa ian co pus
EnGLISH c oA IAn EnGLISH c oA IAn okens 1,151,297 1,059,406 Sen ences 72,045
75,638 Wo ds1,156 855,560 Documen s Table 178 178 Apa om ex ac ing mos
equen single-wo d and mul i-wo d e ms used as candida es o seman ic
ames elemen s, he co pus can also be used o he ex ac ion o e ms,
de ini ions and examples o he linguis ic con ex ha will be en e ed in o he
Ai F ame da abase. he co pus will also se e o he analysis o he syn ac ic
le el o e ms, i.e. hei colloca ions, ph aseological ela ions and
p edica e-a gumen cons uc ions.
2.2. Te m ex ac ion and e m e i ica ion
Au oma ic e m ex ac ion was conduc ed o each language wi h he op ion
o ex ac ing a lis o 1000 single-wo d and mul i-wo d keywo ds. he EU -Lex
English 2-2016 co pus was used as a e e ence co pus o ex ac ing English
single-wo d e m candida es, while he English Web 2013 was used as a
e e ence co pus o ex ac ing mul i-wo d e m candida es. Simila
op ions we e possible o e m ex ac ion in c oa ian. he EU -Lex c oa ian
2-2016 co pus se ed as a e e ence co pus o ex ac ing mo e ele an
single-wo d e m candida es, while his op ion was no possible o
ex ac ing mul i- e m keywo ds. he e o e, he c oa ian Web h Wac 2.2.
co pus was used ins ead. In o de o es he eliabili y o he me hod, he
i s 100 e m candida es aken om he English lis o mul i-wo d e ms
we e manually alida ed.
Ha ing checked hei conco dances, ou o 100 e m candida es, 70 we e
ecognized as alid e ms by a e minologis wi h ample expe ience in
7Te minologia | 2019 | 26 a ia ion e minology. he lis o English keywo ds (o
single-wo d e ms) consis ed la gely ou o a ia ion abb e ia ions and a ew
key a ia ion e ms. Manual analysis and e m e i ica ion o bo h English and
c oa ian candida e lis s o ex ac ed e ms was hen conduc ed. he
e i ica ion p ocess consis ed o wo phases: 1. emo ing all abb e ia ions and
ob ious gene al language wo ds and colloca ions; and 2. analysing he
conco dances o he emaining e ms in o de o e i y whe he hey we e
indeed a ia ion e ms. Ab e ia ions a e commonly used in a ia ion as e ms,
hus no including hem in a dic iona y o glossa y o a ia ion would be
unde s ood as a poo p esen a ion o a ia ion e minology in use. Howe e ,
since we wan ed o a i e a a lis o e ms o mul i-wo d cons uc ions ha
could be used in naming he elemen s o seman ic ames in a ia ion,
abb e ia ions as lexical subs i u es o ull e ms we e no ea ed in he
same unc ion he e. Apa om his, he e was no eason o keeping
abb e ia ions in he c oa ian e m candida es lis s because hey we e used in
he ex s as o eign language elemen s.
2.3. Ex ac ion and analysis o e bs he lis s o English and c oa ian e b
we e ex ac ed au oma ically using he Keywo ds op ion in Ske ch Engine.
Ve bs be, ha e and do ha e no been aken in o accoun in he English
co pus, while bi i be, ima i ha e, moći can and mo a i mus ha e been omi ed
om he analysis in he C oa ian co pus. he i s 100 e bs om each lis
a e hen analyzed by manual alida ion o hei wo d ske ches. colloca ions
deemed as mul i-wo d e ms o colloca ions o ela i e signi icance o
a ia ion e minology based on hei equency a e no ed down in an Excel
shee nex o he analysed e b.
3. ESUL S AnD DISCUSSIon
Manual e m e i ica ion o single-wo d and mul i-wo d English and c oa ian e m candida es yielded
su p ising esul s conce ning p ecision and ecall o he au oma ic ex ac ion p ocess in Ske ch Engine.
Fo ins ance, a e he i s phase o e m e i ica ion, ou o 1000 e ms, only 400 single-wo d c oa ian
e ms emained ha we e no abb e ia ions o gene al language wo ds. he inal lis s o c oa ian e ms
consis o 199 single-wo d and 455 mul i-wo d c oa ian e ms. he e a e somewha mo e English
mul i-wo d e ms, bu no as many as one would expec . 664 mul i-wo d English e ms emained a e he
analysis, bu only 148 juncke ), wo ds in o he o eign languages, and e en some unc ion wo ds (e.g. he
p onoun his). he algo i hm o he ex ac ion o keywo ds and mul i-wo d e ms appa en ly
ecognizes o eign elemen s, i.e. non-English wo ds in he co pus as e ms, oo. his could ha e been
8 0 Ana Os oški Anić Ex ac ing Lexical Uni s o Iden i ying single-wo d English
Maja Lonča Specialized Seman ic F ames
Ma ina Pa ić
e ms, which makes o a signi ican ly poo esul o only 14.8% alid e ms om
he ini ial lis o mul i-wo d English e ms. Como espe ado, he second phase o
e m e i ica ion p esen ed se e al issues ega ding he e mhood o he
candida es. I bo h he noun and he adjec i e e e ing o a ce ain concep
appea ed on he lis , he noun was kep as a mo e p o o ypical e m ealiza ion.7
his was mo e he case wi h he c oa ian e ms since in English a noun and an
adjec i e o en ha e he same mo phological o m, as in he ollowing examples:
kabina, kabinski cabin, na igacija, na igacijski na iga ion, na iga ional, helikop e ,
helikop e ski helicop e , iden i ikacija, iden i ikacijski iden i ica ion.
Simila men e, i bo h an adjec i e and an ad e b appea ed in he lis s, he
adjec i e o m was kep : ins umen alni, ins umen alno ins umen , while in
he case o he e b/adjec i e di e ence, he e b was no mally kep on he
lis : ce i ici a i, ce i ici an ce i y, ce i ied. Quando wo nouns e e indo o
he same concep appea ed, bo h we e kep i one o hem was e e ing o he
ac ion, and he o he o he esul , as in he example o iden i ikacija and
iden i ici anje iden i ica ion. I seems ha no such di e ence exis s in he
English coun e pa s. he English e m candida es lis s included a lo o
in o ma ion ha needed o be il e ed, such as he names o coun ies, pe sonal
names (e.g.
a oided had he ph ases (in all EU languages) ha usually appea a he end o each documen been e ased
p io o adding he documen s o he co pus, bu i was decided ha i was easie o igno e hem in he
candida es lis s a e wa ds. he second phase e m e i ica ion ega ding he English e m candida es
showed he inabili y o dis inguish wo-pa om h ee-pa mul iwo d cons uc ions as he g ea es
pi all o he applied algo i hm, which is a common e o in many s a is ical e m ex ac ion ools. Bound
ai and simula ed engine a e hus pa s o la ge , co ec mul i-wo d e ms bound ai ca go and
simula ed engine ailu e (bo h e sions appea ed on in e minological dic iona ies o e co esponding
adjec i es and e bs e e indo o he same concep (Sage 1990: 58). Howe e , bo h would be included as
lexical uni s connec ed wi h he seman ic ame hey in oke.
he lis ), as well as ins umen g ound and c ew compa men (ins ead o
7 his kind o easoning is mo e in line wi h adi ional e minology wo k, in which nouns had p io i y
8 1Te minologia | 2019 | 26 ins umen g ound ime and ligh c ew compa men ).
Some mul i-wo d e m candida es o mally appea as p ope e ms and i akes
domain speci ic knowledge o label hem as inco ec o alse posi i e esul s,
e.g.: isual ligh > isual ligh ules, p o iding ai a ic > p o iding ai a ic
se ices, in es iga ion au ho i y > sa e y in es iga ion au ho i y, maximum
ake-o > maximum ake-o mass, seconda y su eillance > seconda y ada
su eillance. Sho e e sions a e o en simply synonyms, like con olle
licence o ai a ic con olle licence. Ano he g oup o alse posi i e
mul i-wo d e ms consis s o mul i-wo d exp essions ha could be labelled as
belonging o gene al language: ele an ai c a , indi idual ai c a , speci ic
ai c a , la ge ai c a , p esen ai c a , heigh o cloud base, ield o ci il
a ia ion, en i e lying ime o speci ic aining. Embo a hey a e
mo pho-syn ac ically alid o ms, hey e e o no pa icula concep and
he e o e canno be conside ed e ms. Ha ing analyed all lis s, we a i ed a a
e y small numbe o singlewo d e ms, 199 c oa ian and 148 English e ms. In
o de o e i ice whe he he e ms ha could be conside ed o deno e key
concep s o he ield had been ex ac ed, he wo d ske ches o he i s 10
e ms in each language we e analyzed. Wo d ske ches a e au oma ic,
co pus-de i ed summa ies o wo ds g amma ical and colloca ional pa e ns,
and hey se e as an excellen sou ce o gene a ing a la ge numbe o e m
candida es in hei syn ac ical con ex (Kilga i e al. 2014). Apa om
ypical adjec i e/ noun (we -leased ai c a ) o noun/noun (ai c a noise,
ai c a posi ion) colloca ions, e bal colloca ions (ope a e an ai c a ) and
p eposi ional ph ases (ai c a en e ing in o) gi e in aluable e minological
in o ma ion mos use ul o e minologis s and ansla o s. he mos ele an
ela ion o his pu pose was he coo dina ion ela ion be ween he a ge
wo d and he ela ed wo ds. As can be seen in Figu e 1, he wo ds ela ed o
ai c a a e occupan , e ain, ehicle, p oduc , sys ems, con en , loss, uni ,
engine, equipmen and ype. We compa ed he lis o he coo dina ed e ms
wi h he lis o he single-wo d e ms and ma ked hose ha appea ed in bo h.
he second s ep in e i ying he esul s was compa ing he mos equen
colloca ions o he e ms in wo d ske ches wi h hose om he lis o
mul i-wo d e ms. When he colloca ions om he wo d ske ch (e.g. ai c a
iden i ica ion o ai c a ope a o in Figu e 1) ma ched hose in he lis o
e ms ex ac ed om he co pus, hey we e also ma ked as lexical uni s o be
included in he desc ip ion o a seman ic ame.