Translation of 'forecast' in Hindi
Word 'forecast' in Other Languages
- forecast in Assamese অসমীয়া
- forecast in Bengali বাংলা
- forecast in Bodo बड़ो
- forecast in Dogri डोगरी
- forecast in English
- forecast in Gujarati ગુજરાતી
- forecast in Hindi हिन्दी
- forecast in Kannada ಕನ್ನಡ
- forecast in Kashmiri कॉशुर
- forecast in Konkani कोंकणी
- forecast in Maithili মৈথিলী
- forecast in Malayalam മലയാളം
- forecast in Manipuri মৈতৈলোন্
- forecast in Marathi मराठी
- forecast in Nepali नेपाली
- forecast in Oriya ଓଡ଼ିଆ
- forecast in Punjabi ਪੰਜਾਬੀ
- forecast in Sanskrit संस्कृतम्
- forecast in Santali
- forecast in Sindhi سنڌي
- forecast in Tamil தமிழ்
- forecast in Telugu తెలుగు
- forecast in Urdu اُردُو
Forecast
Part of Speech
Noun, Verb
Pronunciation
/ˈfɔːrˌkæst/ (UK & US)
Definitions
- Forecast (noun): A prediction or estimate of future events, especially concerning the weather or economic conditions.
- Forecast (verb): To predict or estimate the future based on available information, often related to weather, economic trends, or other phenomena.
Usage Examples
- Example 1: "The weather forecast predicts rain for tomorrow." (Referring to a prediction of weather conditions.)
- Example 2: "The economists forecast a slow recovery in the job market." (Referring to a prediction about economic trends.)
- Example 3: "She forecast the sales figures for the next quarter based on current trends." (Referring to predicting business outcomes.)
Etymology
The word "forecast" is derived from the Middle English word "forcast," which combines "for-" (meaning "before") and "cast" (meaning "to throw" or "to project"). The term originally referred to projecting or estimating the future, especially with regard to weather or farming conditions. Over time, it expanded to encompass a wide range of predictive activities.
Synonyms
- Prediction
- Prognosis
- Outlook
- Projection
- Anticipation
Antonyms
- Retrospect
- Past
- Uncertainty
- Surprise
Translations
Language | Translation | Pronunciation |
---|---|---|
Spanish | Pronóstico | /pɾoˈnós.ti.ko/ |
French | Prévision | /pʁe.vi.zjɔ̃/ |
German | Prognose | /pʁoˈɡnoːzə/ |
Italian | Previsione | /pre.viˈzo.ne/ |
Portuguese | Previsão | /pɾe.viˈsɐ̃w̃/ |
Chinese (Simplified) | 预报 | /yù bào/ |
Russian | Прогноз | /prəɡˈnɔz/ |
Japanese | 予報 | /yohō/ |
Arabic | توقع | /tawaqquʕ/ |
Hindi | पूर्वानुमान | /pūrvanumān/ |
Bengali | পূর্বাভাস | /purbābhās/ |
Tamil | முன்னறிவிப்பு | /muṉṉaṟivippu/ |
Telugu | పూర్వానుమానం | /pūrvānumānaṁ/ |
Regional Pronunciation Variations
In English-speaking regions, the pronunciation of "forecast" tends to remain relatively consistent, though the "r" sound may be more pronounced in some accents (e.g., American English) and softer in others (e.g., British English). In non-English-speaking regions, the pronunciation is adapted according to local phonetic rules.
Historical Usage
The use of the word "forecast" dates back to the 15th century, originally referring to predictions about weather and agricultural outcomes. By the 19th century, it was adopted in more scientific contexts, particularly with the rise of meteorology as a field. Over time, the term expanded to include predictions in various domains such as economics, business, and technology.
Cultural Nuances
The concept of "forecasting" plays a significant role in many cultures, particularly in relation to agricultural practices, where farmers rely heavily on weather predictions to plan crops. In modern times, forecasting has become an integral part of business and technology, influencing decisions in finance, market trends, and strategic planning. The accuracy and reliability of forecasts have become essential in shaping public policy and personal decision-making.
More Information
Forecasting is an essential part of decision-making processes across various sectors. In the field of meteorology, forecasts are based on weather patterns and data collected from satellites, weather stations, and other sources. In business, forecasts are crucial for predicting market trends, sales figures, and other economic variables. Advances in technology, such as machine learning and artificial intelligence, have made forecasts more accurate and far-reaching than ever before, but they also raise questions about the reliability and interpretation of predictive data.