From 792158996c5991588434b557367123f83f975006 Mon Sep 17 00:00:00 2001 From: sushil ghimire Date: Thu, 22 Oct 2020 15:13:51 +0545 Subject: [PATCH 1/5] tokenization using sentencepiece --- Nepali_nlp/Nepali_tokenizer.py | 23 +- Nepali_nlp/local_dataset/m_bpe.model | Bin 0 -> 2036147 bytes Nepali_nlp/local_dataset/m_bpe.vocab | 60000 +++++++++++++++++++++++++ 3 files changed, 60022 insertions(+), 1 deletion(-) create mode 100644 Nepali_nlp/local_dataset/m_bpe.model create mode 100644 Nepali_nlp/local_dataset/m_bpe.vocab diff --git a/Nepali_nlp/Nepali_tokenizer.py b/Nepali_nlp/Nepali_tokenizer.py index fd92634..dd2c21d 100644 --- a/Nepali_nlp/Nepali_tokenizer.py +++ b/Nepali_nlp/Nepali_tokenizer.py @@ -1,5 +1,8 @@ import string +import tensorflow as tf +import sentencepiece as spm + class Tokenizer: def __init__(self): @@ -14,7 +17,7 @@ def sentence_tokenize(self, text): Returns: sentence {list} -- tokenized sentence in list """ - sentences = text.split(u"।") + sentences = text.strip().split(u"।") sentences = [sentence.translate(str.maketrans('', '', string.punctuation)) for sentence in sentences] return sentences @@ -63,5 +66,23 @@ def character_tokenize(self, word): return char + def sentencepeice_tokenize(text): + """unsupervised way of tokenizing the text using google sentencepiece library. More info at https://github.com/google/sentencepiece + + Args: + text (string): Text in Nepali language + + Returns: + list: tokenized words. + """ + try: + model = tf.io.gfile.GFile("local_dataset/m_bpe.model", "rb").read() + except: + model = tf.gfile.Gfile("local_dataset/m_bpe.model", "rb").read() + sp = spm.SentencePieceProcessor() + sp.load_from_serialized_proto(model) + return sp.encode_as_pieces(text) + + def __str__(self): return "Helps to tokenize content written in Nepali language." diff --git a/Nepali_nlp/local_dataset/m_bpe.model b/Nepali_nlp/local_dataset/m_bpe.model new file mode 100644 index 0000000000000000000000000000000000000000..f69d3c63726967089c823986944bf531d990e924 GIT binary patch literal 2036147 zcmaf+3z%iwRh17UyqXZ2M`KK~WJ93Ic+NxM8so6L_{nR5fRaUjIriktNM~pKEC_)9&4?+ z<{Wd(xz^rQ-MRAQD{uD9FZ;sJ|Kz7^_`j#V>6Is4dBQWF)t;VkDw#Sq3_LlAO<#~KkdqgM7=2bu1+Sl>;j<1t%etanN zpW3Z`KNH^F6G+hN{I*+APT#N1M=djtPwxir9ZqE78L@D3va)xrEqPU3`l$B!ol)|~ 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-59972 +h -59973 +t -59974 +i -59975 +/ -59976 +ऐ -59977 +ऋ -59978 +? -59979 +w -59980 +3 -59981 +“ -59982 +9 -59983 +” -59984 +j -59985 +# -59986 +m -59987 +z -59988 +c -59989 +p -59990 +g -59991 +v -59992 +ऊ -59993 +0 -59994 +1 -59995 +y -59996 From 5d133af0ee13eb11aae3385985a46dc796384ad8 Mon Sep 17 00:00:00 2001 From: sushil ghimire Date: Thu, 22 Oct 2020 15:15:05 +0545 Subject: [PATCH 2/5] update requirements --- requirements.txt | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index b541ee8..045a66b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -5,4 +5,6 @@ beautifulsoup4 news-please pytesseract spello==1.2.0 -snowballstemmer \ No newline at end of file +snowballstemmer +tensorflow +sentencepiece \ No newline at end of file From 78e77e7d43109243507bf6583454e2109880153a Mon Sep 17 00:00:00 2001 From: sushil ghimire Date: Thu, 22 Oct 2020 15:22:51 +0545 Subject: [PATCH 3/5] change position of importing gfile --- Nepali_nlp/Nepali_tokenizer.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Nepali_nlp/Nepali_tokenizer.py b/Nepali_nlp/Nepali_tokenizer.py index dd2c21d..c47ea03 100644 --- a/Nepali_nlp/Nepali_tokenizer.py +++ b/Nepali_nlp/Nepali_tokenizer.py @@ -76,9 +76,9 @@ def sentencepeice_tokenize(text): list: tokenized words. """ try: - model = tf.io.gfile.GFile("local_dataset/m_bpe.model", "rb").read() + model = tf.gfile.Gfile("local_dataset/m_bpe.model", "rb").read() #tf version 1 except: - model = tf.gfile.Gfile("local_dataset/m_bpe.model", "rb").read() + model = tf.io.gfile.GFile("local_dataset/m_bpe.model", "rb").read() #tf version 2 sp = spm.SentencePieceProcessor() sp.load_from_serialized_proto(model) return sp.encode_as_pieces(text) From b8f12eef374a31c8291b3e67c9bbf331a87e13d9 Mon Sep 17 00:00:00 2001 From: sushil ghimire Date: Thu, 22 Oct 2020 15:31:57 +0545 Subject: [PATCH 4/5] resolve path error --- Nepali_nlp/Nepali_tokenizer.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/Nepali_nlp/Nepali_tokenizer.py b/Nepali_nlp/Nepali_tokenizer.py index c47ea03..f7fd794 100644 --- a/Nepali_nlp/Nepali_tokenizer.py +++ b/Nepali_nlp/Nepali_tokenizer.py @@ -1,12 +1,14 @@ +import os +import sys +sys.path.append('..') import string import tensorflow as tf import sentencepiece as spm - class Tokenizer: def __init__(self): - pass + self.this_dir, self.this_file = os.path.split(__file__) def sentence_tokenize(self, text): """This function tokenize the sentences @@ -66,7 +68,7 @@ def character_tokenize(self, word): return char - def sentencepeice_tokenize(text): + def sentencepeice_tokenize(self, text): """unsupervised way of tokenizing the text using google sentencepiece library. More info at https://github.com/google/sentencepiece Args: @@ -76,9 +78,9 @@ def sentencepeice_tokenize(text): list: tokenized words. """ try: - model = tf.gfile.Gfile("local_dataset/m_bpe.model", "rb").read() #tf version 1 + model = tf.gfile.Gfile(os.path.join(self.this_dir, "local_dataset", "m_bpe.model"), "rb").read() #tf version 1 except: - model = tf.io.gfile.GFile("local_dataset/m_bpe.model", "rb").read() #tf version 2 + model = tf.io.gfile.GFile(os.path.join(self.this_dir, "local_dataset", "m_bpe.model"), "rb").read() #tf version 2 sp = spm.SentencePieceProcessor() sp.load_from_serialized_proto(model) return sp.encode_as_pieces(text) From 00a369f01315e3708d0d5caba82e8c462d08d96a Mon Sep 17 00:00:00 2001 From: sushil ghimire Date: Thu, 22 Oct 2020 15:38:04 +0545 Subject: [PATCH 5/5] update sentencepiece tokenize method in README --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 111cbbc..aeb4ff0 100644 --- a/README.md +++ b/README.md @@ -67,6 +67,7 @@ from Nepali_nlp import Tokenizer Tokenizer().sentence_tokenize(text) #To tokenize sentence Tokenizer().word_tokenize(text) #To tokenize word Tokenizer().character_tokenize(text) #To tokenize character +Tokenizer().sentencepeice_tokenize(text) #Tokenize using BPE ```

Nepali Stemming