Embedded Files
Frequencies
Frequencies
The HE corpus contains 16,526 occurrences of the concept Recovery.
Distribution by Region
Distribution by Region
Distribution by Organisation Type, Document Type, Region and Year
Distribution by Organisation Type, Document Type, Region and Year
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Refresh the website if the graphics are not shownRecovery occurs mostly in documents published in Europe, followed by North America, Asia, Africa and Oceania. Overall, the top five contributors in terms of occurrences are IGO, NGO, Net, RC and NGO_Fed organisations.
IGO documents provide the greatest number of occurrences, primarily from general documents published in North America. Occurrences from NGO, RC and NGO_Fed were mostly obtained from activity reports published in Europe.
Net documents mostly generated occurrences in activity reports published in North America.
Definitions
Definitions
Summary of Definitional Elements
Summary of Definitional Elements
Abstracted from definitions and related concepts. Please scroll down for more details.
Definitional Contexts
Definitional Contexts
Related Concepts
Related Concepts
Frequent Collocations
Frequent Collocations
Frequent words that accompany a term are known as collocates. A given term and its collocates form collocations. These can be extracted automatically based on statistics and curated manually to explore interactions with concepts.
Comparisons over time between organisation types with the greatest number of hits (IGO, NGO, Net, RC and NGO_Fed organisations) may prove to be meaningful. Below is an histogram for the top yearly collocation for each of the five organisations with the greatest contribution as well as across all organisation types.
Collocates Over Time
Collocates Over Time
Collocational data for Recovery was found to be scarce. Across all 5 organisation types analysed, only 6 top collocates were obtained:
CPRP(CHA Post–tsunami Recovery Programme);
post-stan (Post-Stan recovery (hurricane Stan);
post-disaster;
pre-disaster;
stolen (StolenAssets Recovery (StAR));
early (from early recovery);
IRP (International Recovery Programme); and
GFDRR (Global Facility for Disaster Reduction and Recovery)
IGO documents generated pre-disaster as top collocate in 2017. Other top IGO collocates are post-disaster and GFDRR (Global Facility for Disaster Reduction and Recovery),
NGO documents generated CPRP as top collocate in 2005 with the highest overall score. Other top NGO collocates include post-conflict, CRR (Cumulative recovery rate) and rehabilitation.
Net documents generated pre-disaster as top collocate in 2017. Other top Net collocates incude IRP, GFDRR and post-disaster.
RC documents generated post-stan as top collocate in 2006. Other top RC collocates include mileage (mileage recovery) and hasten (from to hasten one's recovery).
NGO_Fed documents generated deficit as top collocate in 2018. Other top NGO_Fed documents include overhead and accelarate.
Unique Collocates by Organisation Type
Unique Collocates by Organisation Type
Organisation subcorpora present unique and shared collocations with other organisation types. Unique collocations allow to discover what a particular organisation type says about Recovery that others do not.
IGO documents feature the following top 10 unique collocates:
maximum
actual
stolen
star
timing
sight
postconflict
ADPC ( Asian Disaster Preparedness Centre)
benchmarked
modest
NGO documents feature the following top 10 unique collocates:
CPRP (CHA Post–tsunami Recovery Programme)
CRR (Cumulative recovery rate)
Nuwakot (district in Nepal)
Tohoku (Japanese region)
OTR (On Time Recovery Rate)
Louisiana
FONKOZE (Haitian NGO)
Thulo (From Thulo Pakhar, a Nepalese region)
Sindhupalchok (district in Nepal)
post-emergency
Net documents feature the following top 10 unique collocates:
IRP ( International Recovery Programme)
standby
SL ( From Seasonal Loan - Total Year Wise Loan Disbursement, Recovery and Portfolio)
in-country
PDNA (Post Disaster Needs Assessment)
systematization
SRFF (Standby Recovery Financing Facility)
formulate
INEE (Inter-Agency Network for Education in Emergencies)
forum
RC documents feature the following top 10 unique collocates:
christchurch (From recovery of Christchurch)
mileage (from mileage recovery)
hasten (From to hasten one's reovery)
TC (from TC winston recovery work)
pokot (West Pokot Drought Recovery, Pokot is a district in Kenia)
reinvest
handover
wheelchair
proper
post-stan (Post Stan Hurricane)
NGO_Fed documents feature the following top 10 unique collocates:
revitalization
flood-affected
rehearsal
depression
cleanup
anxiety
intend
salvation
length
shelterbox
Shared Collocates by Organisation Type
Shared Collocates by Organisation Type
Shared collocations allow to discover matching elements with organisations who discuss Recovery. These constitute intersections between subcorpora.
Top collocates shared by 2 organisation types are:
worker (RC + IGO)
woman (NGO_Fed + IGO)
Top collocates shared by 3 organisation types are:
workshop (NGO + Net + IGO)
Top collocates shared by 4 organisation types are:
world (NGO_Fed + NGO + Net + IGO)
Top collocates shared by 5 organisation types are:
work ( RC + NGO_Fed + NGO + Net + IGO)
year ( RC + NGO_Fed + NGO + Net + IGO)
Usage Over Time
Usage Over Time
HE Corpus
HE Corpus
The chart below represents the distribution of Recovery between 2005 and 2019 in terms of the number of occurrences and relative frequency of occurrences. It also allows you to view the distribution across Regions, Organisations and Document types.
What's the relative frequency of a concept?
What's the relative frequency of a concept?
The relative frequency of a concept compares its occurrences in a specific subcorpora (i.e. Year, Region, Organisation Type, Document Type) to its total number of occurrences in the entire HE corpus. This indicates how typical a word is to a specific subcorpus and allows to draw tentative comparisons between subcorpora, e.g. Europe vs Asia or NGO vs IGO. You can read these relative frequencies as follows:
Relative frequency is expressed as a percentage, above or below the total number of occurrences, which are set at 100%. This measure is obtained by dividing the number of occurrences by the relative size of a particular subcorpus.
Under 100%: a word is less frequent in a subcorpus than in the entire corpus. This is means that the word is not typical or specific to a given subcorpus.
100%: a word is as frequent in a subcorpus as it is in the entire corpus.
Over 100%: a word is more frequent in a subcorpus than in the entire corpus. This means that the word in question is typical or specific to a given subcorpus.
As an author, you may be interested in exploring why a concept appears more or less frequently in a given subcorpus. This may be related to the concept's nature, the way humanitarians in a given year, region, organisation type or document type use the concept, or the specific documents in the corpus and subcorpora itself. To manually explore the original corpus data, you can consult each Contexts section where available or the search the corpus itself if needs be.
Occurrences of Recovery were highest in 2017. However, this concept obtained the highest relative frequency recorded in 2019 (154%).
Europe generated the greatest number of occurrences and North America generated the highest relative frequency with 141%.
The top 5 organisation types with the highest relative frequency of Recovery are Net, WHS, Project, C/B and State.
Activity reports provided the greatest number of occurrences and strategy provided the highest relative frequency with 138%.
Google Ngram Viewer
Google Ngram Viewer
This shows the evolution of Recovery and in the vast Google Books corpus, which gives you a general idea of the trajectory of the term in English books between 1950 and 2019. Values are expressed as a percentage of the total corpus instead of occurrences.
Please note that this is not a domain-specific corpus. However, it provides a general overview of and its evolution across domains.
Recovery mantains a steady evolution with a slight decline towards the year 1960. It then picks up and reaches its peak in 1983. From then onwards it starts to decline until it reaches its lowest point in 2019.
Debates & Controversies
Debates & Controversies
Synonyms
Synonyms
Discussion
Discussion
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