Open Phrasebank

Building your own phrasebank. ✨

This repository provides an accessible phrase bank, which is a collection of frequently used phrases that can be utilized, for example, in the auto-complete function of an IDE. (Note: This library does not provide IDE or auto-complete functions but offers ready-to-use phrasebanks)

Moreover, this repository includes features for constructing a phrase bank from a provided text or an open corpus.

Why Use Phrase Bank

Boosting Typing Experience with Phrasebank 🚀

Academic Writing 🕵️‍♀

You can further customize the phrasebank according to your needs, e.g. for certain disciplines, for certain styles (descriptive, analytical, persuasive and critical), for certain sections (abstract, body text), as long as you can find good ingredients.

Open Phrasebanks

Academic Phrasebank

Elsevier OA CC-BY contains 40k articles from Elsevier's journals, including from Arts, Business, STEM to Social Sciences¹.

No.	Phrasebank	Source	N of grams	Lines	Comments
1	📍academic_phrasebank	Book Academic Phrasebank 2014	2-5	2,190	Extract from pdf (Zhihao, 2024)
2	📍elsevier_phrasebank	Corpus Elsevier OA CC-BY 2020	2-6	3,792	Extract by n-gram (Zhihao 2024)
3	📍bawe_1000.csv	Corpus British Academic Written English	4-6	1,000	Due to inaccessible, only most frequent 1000 list here. (Zhihao, 2024)
4	📍academic_word_list	Academic Word List Coxhead (2000)	1	570	The 570 word for academic English (exclude frequent 2000 words)
5	📍elsevier_awl	2,4	2-6	994	The Elsevier phrasebank that contains AWL (Zhihao, 2024)
6	📍elsevier_ENVI_EART	2	2-7	3,700	Environment & Earth Science 3700 collection (Zhihao 2024)
7	📍elsevier_PSYC_SOCI	2	2-7	3,700	Social Science & Psychology 3700 collection (Zhihao 2024)
8	📍elsevier_MEDI	2	2-7	3,700	Medicine 3700 collection (Zhihao 2024)

English Frequent Phrasebank

No.	Phrasebank	Source	N-gram Length	Lines	Comments
1	📍google-10000-english	Google Books Corpus	1	10,000	The 10,000 most common English words from Google Books Corpus
2	📍Wordlist 1200.txt	Internet	1	2,000	The 2,000 most common English words

Other Phrasebank

No.	Phrasebank	Source	N-gram Length	Lines	Comments
1	📍emoji		1	745	(Zhihao 2024)

Quickstart

You can download the pre-made phrasebank from the table. If you do require a custom one, go forward.

pip install openphrasebank

Get a Self-defined Phrasebank in 3 Steps

Below is an example based on n-gram frequency. More examples, e.g. extract from PDF, are available in documents.

1️⃣ Load and Tokenize the Data

import openphrasebank as opb

tokens_gen = opb.load_and_tokenize_data (dataset_name="orieg/elsevier-oa-cc-by", 
                                         subject_areas=['PSYC','SOCI'],
                                         keys=['title', 'abstract','body_text'],
                                         save_cache=True,
                                         cache_file='temp_tokens.json')

2️⃣ Generate N-grams

n_values = [1,2,3,4,5,6,7,8]
opb.generate_multiple_ngrams(tokens_gen, n_values)

3️⃣ Filter and save

# Define the top limits for each n-gram length
top_limits = {1: 2000, 2: 2000, 3: 1000, 4: 300, 5: 200, 6: 200, 7: 200, 8: 200}

# Filter the frequent n-grams and store the results in a dictionary
phrases = {}
freqs = {}
for n, limit in top_limits.items():
    phrases[n], freqs[n] = opb.filter_frequent_ngrams(ngram_freqs[n], limit,min_freq=20)

# Combine and sort the phrases from n-gram lengths 2 to 6
sorted_phrases = sorted(sum((phrases[n] for n in range(2, 7)), []))

# Write the sorted phrases to a Markdown file
with open('../elsevier_phrasebank_PSYC_SOCI.txt', 'w') as file:
    for line in sorted_phrases:
        file.write(line + '\n')

How to Contribute

You can either contribute the phrasebank or the code. Check out our contributing.

Known Issues

Phrasebank	Issues
academic_phrasebank	Due to the table in the PDF file not being properly handled, many sentences were not extracted correctly. (zhihao)
elsevier_phrasebank

Footnotes

1. Over 20 disciplines orieg/elsevier-oa-cc-by · Datasets at Hugging Face ↩