From a05b52d6d2daa53cefe2036186da72fcb776c590 Mon Sep 17 00:00:00 2001 From: Jakub Adamski Date: Tue, 4 Apr 2023 22:43:03 +0200 Subject: [PATCH] bigram solution --- .gitignore | 3 +- bigram.py | 80 + dev-0/out.tsv | 21038 +++++++++++++++++++++++------------------------ test-A/out.tsv | 14828 ++++++++++++++++----------------- 4 files changed, 18015 insertions(+), 17934 deletions(-) create mode 100644 bigram.py diff --git a/.gitignore b/.gitignore index a32104c..a78ddcb 100644 --- a/.gitignore +++ b/.gitignore @@ -8,4 +8,5 @@ .token dev-0/in.tsv -test-A/in.tsv \ No newline at end of file +test-A/in.tsv +train/in.tsv \ No newline at end of file diff --git a/bigram.py b/bigram.py new file mode 100644 index 0000000..781ce30 --- /dev/null +++ b/bigram.py @@ -0,0 +1,80 @@ +import collections +import re +import random +import math + +input_file_path = "train/in.tsv" +bigrams = collections.defaultdict(lambda: collections.defaultdict(int)) + + +def clean_text(text: str): + text = text.replace('\n', ' ') + text = re.sub(r'[^a-zA-Z0-9\s]', '', text) + text = text.lower() + text = text.strip() + return text + + +with open('train/expected.tsv', 'r', encoding="utf-8") as f: + expected = [line for line in f] + +with open(input_file_path, 'r', encoding="utf-8") as f: + data = [line.split('\t') for line in f] + +#data = data[:200000] # total is over 400 000 + +combined = [] + +for idx, row in enumerate(data): + line = clean_text(row[6]) + ' ' + expected[idx] + ' ' + clean_text(row[7]) + combined.append(line.lower()) + + +for line in combined: + tokens = re.findall(r"\b\w+\b", line) + + for i in range(len(tokens) - 1): + bigrams[tokens[i]][tokens[i+1]] += 1 + + + +most_popular_words = [ + "be:0.5 and:0.2 of:0.1 :0.2", + "a:0.5 in:0.2 to:0.1 :0.2", + "have:0.5 too:0.2 it:0.1 :0.2", + "I:0.5 that:0.2 for:0.1 :0.2", + "you:0.5 he:0.2 with:0.1 :0.2", + "on:0.5 do:0.2 say:0.1 :0.2", + "this:0.5 they:0.2 at:0.1 :0.2", + "but:0.5 we:0.2 his:0.1 :0.2" +] + + +with open('test-A/in.tsv', "r", encoding="utf-8") as input_file, open('test-A/out.tsv', "w", encoding="utf-8") as output_file: + + lines = input_file.readlines() + + for idx, line in enumerate(lines): + tokens = re.findall(r"\b\w+\b", clean_text(line.split("\t")[6])) + + probabilities = [] + denominator = sum(bigrams[tokens[-1]].values()) + + for possible_word in bigrams[tokens[-1]]: + probability = bigrams[tokens[-1]][possible_word] / denominator + probabilities.append((possible_word, probability)) + + probabilities.sort(key=lambda x: x[1], reverse=True) + print(f'Line {idx} of {len(lines)}') + + if len(probabilities) >= 3: + out_line = "" + out_line += probabilities[0][0] + ":0.6 " + out_line += probabilities[1][0] + ":0.2 " + out_line += probabilities[2][0] + ":0.1 " + out_line += ":0.1" + output_file.write(out_line + "\n") + + else: + output_file.write(random.choice(most_popular_words) + "\n") + diff --git a/dev-0/out.tsv b/dev-0/out.tsv index 8670417..44f3585 100644 --- a/dev-0/out.tsv 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