Vakya API (Example Sentences)
The Vakya API provides example sentences showing words used in context. This is useful for language learning applications and understanding word usage.
Endpoints
| Method | Endpoint | Description |
|---|---|---|
| GET | /api/v1/dictionary/vakya?q={word} |
Get example sentences for a word |
| GET | /api/v1/dictionary/vakya/{word} |
Get example sentences (path parameter) |
| POST | /api/v1/dictionary/vakya/random |
Get random example sentences |
Get Sentences for a Word
Retrieve example sentences that use a specific word.
Request
| Parameter | Type | Required | Description |
|---|---|---|---|
q |
string | Yes | The word to find examples for |
Example Request
Success Response (200)
{
"word": "औतार",
"example_sentences": [
{
"word": "औतार",
"example_sentence": "तँ त शिवकै औतार रहिछस्",
"raw_definition": "१. वैष्णव धारणाअनुसार विष्णु भगवान्ले पृथ्वीमा लिएका विभिन्न जन्म..."
}
],
"count": 1
}
| Field | Type | Description |
|---|---|---|
word |
string | The queried word |
example_sentences |
array | List of example sentence objects |
example_sentences[].word |
string | The word in the example |
example_sentences[].example_sentence |
string | The example sentence |
example_sentences[].raw_definition |
string | Full definition from dictionary |
count |
integer | Number of sentences returned |
Not Found Response (404)
When no examples exist for a word:
{
"error": "'घर' शब्दका लागि कुनै उदाहरण वाक्य फेला परेन।",
"word": "घर",
"example_sentences": [],
"count": 0
}
Get Random Sentences
Retrieve random example sentences from the dictionary. Useful for "word of the day" features or learning activities.
Request
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
limit |
integer | No | 2 | Number of sentences to return (1-10) |
Example Request
const response = await fetch(
"https://sabdasakha.com/api/v1/dictionary/vakya/random",
{
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ limit: 2 })
}
);
const result = await response.json();
result.example_sentences.forEach(item => {
console.log(`${item.word}: ${item.example_sentence}`);
});
Success Response (200)
{
"example_sentences": [
{
"word": "औतार",
"example_sentence": "तँ त शिवकै औतार रहिछस्",
"raw_definition": "१. वैष्णव धारणाअनुसार विष्णु भगवान्ले पृथ्वीमा लिएका विभिन्न जन्म..."
},
{
"word": "रत्ती",
"example_sentence": "अँ मैले भनेको रत्ती मान्दैन",
"raw_definition": "१. लाल, रती; रातीगेडी; लालगेडी। क्रि.वि. २. अलिकति; अत्यन्त थोरै..."
}
],
"count": 2
}
| Field | Type | Description |
|---|---|---|
example_sentences |
array | List of word-sentence pairs |
example_sentences[].word |
string | The featured word |
example_sentences[].example_sentence |
string | Example sentence using the word |
example_sentences[].raw_definition |
string | Full definition text from dictionary |
count |
integer | Number of sentences returned |
Use Cases
Word of the Day
Display a random interesting word with its usage:
response = requests.post(
"https://sabdasakha.com/api/v1/dictionary/vakya/random",
json={"limit": 1}
)
wotd = response.json()["example_sentences"][0]
print(f"Word of the Day: {wotd['word']}")
print(f"Example: {wotd['example_sentence']}")
# Also fetch the definition
definition = requests.get(
f"https://sabdasakha.com/api/v1/dictionary/word/{wotd['word']}"
).json()
print(f"Meaning: {definition['definitions'][0]['text']}")
Vocabulary Quiz
Generate quiz questions from example sentences:
response = requests.post(
"https://sabdasakha.com/api/v1/dictionary/vakya/random",
json={"limit": 5}
)
for item in response.json()["example_sentences"]:
# Replace word with blank in sentence
question = item["example_sentence"].replace(item["word"], "_____")
print(f"Fill in the blank: {question}")
print(f"Answer: {item['word']}\n")
Learning Context
Help users understand word usage in context:
def learn_word(word):
# Get definition
defn = requests.get(
f"https://sabdasakha.com/api/v1/dictionary/word/{word}"
).json()
# Get examples
examples = requests.get(
"https://sabdasakha.com/api/v1/dictionary/vakya",
params={"q": word}
).json()
print(f"Word: {word}")
print(f"Meaning: {defn['definitions'][0]['text']}")
print("Examples:")
for sentence in examples["example_sentences"]:
print(f" - {sentence}")
Best Practices
- Cache random sentences - Refresh periodically, not on every page load
- Combine with dictionary - Show definitions alongside examples
- Highlight the word - Make the target word visually distinct in sentences
- Handle empty results - Some words may not have example sentences