awa

Awadhi अवधी

ISO 639-3: awa I L

16,641 Words in vocabulary

3.89x Best compression

0.7358 Best isotropy

Sample text

Excerpts from Awadhi Wikipedia articles.

नीलम संजीव रेड्डी (२७ अक्तूबर - ९ नवंबर भारत कय छठवा राष्ट्रपति रहे। वनकय कार्यक...

नकुड, भारत देश के उत्तर प्रदेश प्रान्त के सहारनपुर जिला कय एक्ठु नगर पालिका परिष...

नसीराबाद, भारत देश के उत्तर प्रदेश प्रान्त के रायबरेली जिला कय एक्ठु नगर पंचायत ...

The 20 most frequently used words in Awadhi Wikipedia.

Explore Awadhi interactively with browser-based demos.

Key metrics for all model types at a glance.

from wikilangs import tokenizer
tok = tokenizer('latest', 'awa', 32000)
tokens = tok.tokenize("Your text here")

from wikilangs import ngram
ng = ngram('latest', 'awa', gram_size=3)
score = ng.score("Your text here")

from wikilangs import markov
mc = markov('latest', 'awa', depth=3)
text = mc.generate(length=50)

from wikilangs import vocabulary
vocab = vocabulary('latest', 'awa')
info = vocab.lookup("word")

from wikilangs import embeddings
emb = embeddings('latest', 'awa', dimension=64)
vec = emb.embed_word("word")

Model Type	Variants	Description
Tokenizers	8k, 16k, 32k, 64k	BPE tokenizers with different vocabulary sizes
N-gram (Word)	2, 3, 4, 5-gram	Word-level language models
N-gram (Subword)	2, 3, 4, 5-gram	Subword-level language models
Markov (Word)	Depth 1–5	Word-level text generation
Markov (Subword)	Depth 1–5	Subword-level text generation
Vocabulary	—	Word dictionary with frequency and IDF
Embeddings	32d, 64d, 128d	Position-aware word embeddings