A Neural Language Style Transfer framework to transfer natural language text smoothly

Styleformer

A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more.For instance, understand What makes text formal or casual/informal.

Usecases for Styleformer

Area 1: Data Augmentation

• Augment training datasets with various fine-grained language styles.

Area 2: Post-processing

• Apply style transfers to machine generated text.
• e.g.
  • Refine a Summarised text to active voice + formal tone.
  • Refine a Translated text to more casual tone to reach younger audience.

Area 3: Controlled paraphrasing

• Formal <=> Casual and Active <=> style transfers adds a notion of control over how we paraphrase when compared to free-form paraphrase where there is control or guarantee over the paraphrases.

Area 4: Assisted writing

• Integrate this to any human writing interfaces like email clients, messaging tools or social media post authoring tools. Your creativity is your limit to te uses.
• e.g.
  • Polish an email with business tone for professional uses.

Installation

pip install git+https://github.com/PrithivirajDamodaran/Styleformer.git

Quick Start

Casual to Formal (Available now !)

from styleformer import Styleformer
import torch
import warnings
warnings.filterwarnings("ignore")

'''
#uncomment for re-producability
def set_seed(seed):
  torch.manual_seed(seed)
  if torch.cuda.is_available():
    torch.cuda.manual_seed_all(seed)

set_seed(1234)
'''

# style = [0=Casual to Formal, 1=Formal to Casual, 2=Active to Passive, 3=Passive to Active etc..]
sf = Styleformer(style = 0) 

source_sentences = [
"I am quitting my job",
"Jimmy is on crack and can't trust him",
"What do guys do to show that they like a gal?",
"i loooooooooooooooooooooooove going to the movies.",
"That movie was fucking awesome",
"My mom is doing fine",
"That was funny LOL" , 
"It's piece of cake, we can do it",
"btw - ur avatar looks familiar",
"who gives a crap?",
"Howdy Lucy! been ages since we last met.",
"Dude, this car's dope!",
"She's my bestie from college",
"I kinda have a feeling that he has a crush on you.",
"OMG! It's finger-lickin' good.",
]   

for source_sentence in source_sentences:
    target_sentence = sf.transfer(source_sentence)
    print("-" *100)
    print("[Informal] ", source_sentence)
    print("-" *100)
    if target_sentence is not None:
        print("[Formal] ",target_sentence)
        print()
    else:
        print("No good quality transfers available !")

[Informal]  I am quitting my job
[Formal]  I will be stepping down from my job.
----------------------------------------------------------------------------------------------------
[Informal]  Jimmy is on crack and can't trust him
[Formal]  Jimmy is a crack addict I cannot trust him
----------------------------------------------------------------------------------------------------
[Informal]  What do guys do to show that they like a gal?
[Formal]  What do guys do to demonstrate their affinity for women?
----------------------------------------------------------------------------------------------------
[Informal]  i loooooooooooooooooooooooove going to the movies.
[Formal]  I really like to go to the movies.
----------------------------------------------------------------------------------------------------
[Informal]  That movie was fucking awesome
[Formal]  That movie was wonderful.
----------------------------------------------------------------------------------------------------
[Informal]  My mom is doing fine
[Formal]  My mother is doing well.
----------------------------------------------------------------------------------------------------
[Informal]  That was funny LOL
[Formal]  That was hilarious
----------------------------------------------------------------------------------------------------
[Informal]  It's piece of cake, we can do it
[Formal]  The whole process is simple and is possible.
----------------------------------------------------------------------------------------------------
[Informal]  btw - ur avatar looks familiar
[Formal]  Also, your avatar looks familiar.
----------------------------------------------------------------------------------------------------
[Informal]  who gives a crap?
[Formal]  Who cares?
----------------------------------------------------------------------------------------------------
[Informal]  Howdy Lucy! been ages since we last met.
[Formal]  Hello, Lucy It has been a long time since we last met.
----------------------------------------------------------------------------------------------------
[Informal]  Dude, this car's dope!
[Formal]  I find this car very appealing.
----------------------------------------------------------------------------------------------------
[Informal]  She's my bestie from college
[Formal]  She is my best friend from college.
----------------------------------------------------------------------------------------------------
[Informal]  I kinda have a feeling that he has a crush on you.
[Formal]  I have a feeling that he is attracted to you.
----------------------------------------------------------------------------------------------------
[Informal]  OMG! It's finger-lickin' good.
[Formal]  It is so good, it is delicious.
----------------------------------------------------------------------------------------------------

Knobs

# inference_on = [0=Regular model On CPU, 1= Regular model On GPU, 2=Quantized model On CPU]
target_sentence = sf.transfer(source_sentence, inference_on=0, quality_filter=0.95, max_candidates=5)

Models

Dataset

• TBD
• Fined tuned on T5 on a Tesla T4 GPU and it took ~2 hours to train each of the above models with batch_size = 16 and epochs = 5.(Will share training args shortly)

Benchmark

• TBD

References

• Generative Text Style Transfer for Improved Language Sophistication
• Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

Citation

• TBD

GitHub

https://github.com/PrithivirajDamodaran/Styleformer