Word and sentence tokenizer#

This tutorial is available as an IPython notebook at Malaya/example/tokenizer.

[1]:

%%time
import malaya

CPU times: user 5.84 s, sys: 971 ms, total: 6.81 s
Wall time: 7.56 s

[2]:

string1 = 'xjdi ke, y u xsuke makan HUSEIN kt situ tmpt, i hate it. pelikle, pada'
string2 = 'i mmg2 xske mknn HUSEIN kampng tmpat, i love them. pelikle saye'
string3 = 'perdana menteri ke11 sgt suka makn ayam, harganya cuma rm15.50'
string4 = 'pada 10/4, kementerian mengumumkan, 1/100'
string5 = 'Husein Zolkepli (911223-06-2305), dapat tempat ke-12 lumba lari hari ni'
string6 = 'Husein Zolkepli (2011 - 2019) adalah ketua kampng di kedah sekolah King Edward ke-IV'
string7 = '2jam 30 minit aku tunggu kau, 60.1 kg kau ni, suhu harini 31.2c, aku dahaga minum 600ml'
string8 = 'online & desktop: regexr.com or download the desktop version for Mac'
string9 = 'belajaq unity di google.us.edi?34535/534534?dfg=g&fg unity'
string10 = 'Gambar ni membantu. Gambar tutorial >>. facebook. com/story. story_fbid=10206183032200965&id=1418962070'

Load word tokenizer#

class Tokenizer:
    def __init__(self, **kwargs):
        """
        Load Tokenizer object.
        Check supported regex pattern at
        https://github.com/huseinzol05/Malaya/blob/master/malaya/text/regex.py#L85

        Parameters
        ----------
        emojis: bool, optional (default=False)
            True to keep emojis.
        urls: bool, optional (default=True)
            True to keep urls.
        urls_improved: bool, optional (default=True)
            True to keep urls, better version.
        tags: bool, optional (default=True)
            True to keep tags: <tag>.
        emails: bool, optional (default=True)
            True to keep emails.
        users: bool, optional (default=True)
            True to keep users handles: @cbaziotis.
        hashtags: bool, optional (default=True)
            True to keep hashtags.
        phones: bool, optional (default=True)
            True to keep phones.
        percents: bool, optional (default=True)
            True to keep percents.
        money: bool, optional (default=True)
            True to keep money expressions.
        date: bool, optional (default=True)
            True to keep date expressions.
        time: bool, optional (default=True)
            True to keep time expressions.
        time_pukul: bool, optional (default=True)
            True to keep time `pukul` expressions.
        acronyms: bool, optional (default=True)
            True to keep acronyms.
        emoticons: bool, optional (default=True)
            True to keep emoticons.
        censored: bool, optional (default=True)
            True to keep censored words: f**k.
        emphasis: bool, optional (default=True)
            True to keep words with emphasis: *very* good.
        numbers: bool, optional (default=True)
            True to keep numbers.
        temperature: bool, optional (default=True)
            True to keep temperatures
        distance: bool, optional (default=True)
            True to keep distances.
        volume: bool, optional (default=True)
            True to keep volumes.
        duration: bool, optional (default=True)
            True to keep durations.
        weight: bool, optional (default=True)
            True to keep weights.
        hypen: bool, optional (default=True)
            True to keep hypens.
        ic: bool, optional (default=True)
            True to keep Malaysian IC.
        title: bool, optional (default=True)
            True to keep title with dot, Dr. ayam -> ['Dr.', 'ayam']
        """

[3]:

tokenizer = malaya.tokenizer.Tokenizer()

[4]:

tokenizer.tokenize(string1)

[4]:

['xjdi',
 'ke',
 ',',
 'y',
 'u',
 'xsuke',
 'makan',
 'HUSEIN',
 'kt',
 'situ',
 'tmpt',
 ',',
 'i',
 'hate',
 'it',
 '.',
 'pelikle',
 ',',
 'pada']

[5]:

tokenizer.tokenize(string2)

[5]:

['i',
 'mmg2',
 'xske',
 'mknn',
 'HUSEIN',
 'kampng',
 'tmpat',
 ',',
 'i',
 'love',
 'them',
 '.',
 'pelikle',
 'saye']

[6]:

tokenizer.tokenize(string3)

[6]:

['perdana',
 'menteri',
 'ke11',
 'sgt',
 'suka',
 'makn',
 'ayam',
 ',',
 'harganya',
 'cuma',
 'rm15.50']

[7]:

tokenizer.tokenize(string4)

[7]:

['pada',
 '10',
 '/',
 '4',
 ',',
 'kementerian',
 'mengumumkan',
 ',',
 '1',
 '/',
 '100']

[8]:

tokenizer.tokenize(string5)

[8]:

['Husein',
 'Zolkepli',
 '(',
 '911223-06-2305',
 ')',
 ',',
 'dapat',
 'tempat',
 'ke-12',
 'lumba',
 'lari',
 'hari',
 'ni']

[9]:

tokenizer.tokenize(string6)

[9]:

['Husein',
 'Zolkepli',
 '(',
 '2011',
 '-',
 '2019',
 ')',
 'adalah',
 'ketua',
 'kampng',
 'di',
 'kedah',
 'sekolah',
 'King',
 'Edward',
 'ke-IV']

[10]:

tokenizer.tokenize(string7)

[10]:

['2jam',
 '30 minit',
 'aku',
 'tunggu',
 'kau',
 ',',
 '60.1 kg',
 'kau',
 'ni',
 ',',
 'suhu',
 'harini',
 '31.2c',
 ',',
 'aku',
 'dahaga',
 'minum',
 '600ml']

[11]:

tokenizer.tokenize(string8)

[11]:

['online',
 '&',
 'desktop',
 ':',
 'regexr.com',
 'or',
 'download',
 'the',
 'desktop',
 'version',
 'for',
 'Mac']

[12]:

tokenizer.tokenize(string9)

[12]:

['belajaq', 'unity', 'di', 'google.us.edi?34535/534534?dfg=g&fg', 'unity']

url#

[13]:

tokenizer.tokenize('website saya http://huseinhouse.com')

[13]:

['website', 'saya', 'http://huseinhouse.com']

[14]:

tokenizer.tokenize('website saya huseinhouse.com')

[14]:

['website', 'saya', 'huseinhouse.com']

[15]:

tokenizer.tokenize('website saya huseinhouse.com/pelik?a=1')

[15]:

['website', 'saya', 'huseinhouse.com/pelik?a=1']

tags#

[16]:

tokenizer.tokenize('panggil saya <husein>')

[16]:

['panggil', 'saya', '<husein>']

[17]:

tokenizer.tokenize('panggil saya <husein >')

[17]:

['panggil', 'saya', '<', 'husein', '>']

emails#

[18]:

tokenizer.tokenize('email saya husein@rumah.com')

[18]:

['email', 'saya', 'husein@rumah.com']

[19]:

tokenizer.tokenize('email saya husein@rumah.com.my')

[19]:

['email', 'saya', 'husein@rumah.com.my']

users#

[20]:

tokenizer.tokenize('twitter saya @husein123zolkepli')

[20]:

['twitter', 'saya', '@husein123zolkepli']

[21]:

tokenizer.tokenize('twitter saya @ husein123zolkepli')

[21]:

['twitter', 'saya', '@', 'husein123zolkepli']

hashtags#

[22]:

tokenizer.tokenize('panggil saya #huseincomel')

[22]:

['panggil', 'saya', '#huseincomel']

[23]:

tokenizer.tokenize('panggil saya # huseincomel')

[23]:

['panggil', 'saya', '#', 'huseincomel']

phones#

[24]:

tokenizer.tokenize('call sye di 013-1234567')

[24]:

['call', 'sye', 'di', '013-1234567']

[25]:

tokenizer.tokenize('call sye di 013- 1234567')

[25]:

['call', 'sye', 'di', '013', '-', '1234567']

percents#

[26]:

tokenizer.tokenize('saya sokong 100%')

[26]:

['saya', 'sokong', '100%']

[27]:

tokenizer.tokenize('saya sokong 100 %')

[27]:

['saya', 'sokong', '100', '%']

money#

[28]:

tokenizer.tokenize('saya tinggal rm100')

[28]:

['saya', 'tinggal', 'rm100']

[29]:

tokenizer.tokenize('saya tinggal rm100k')

[29]:

['saya', 'tinggal', 'rm100k']

[30]:

tokenizer.tokenize('saya tinggal rm100M')

[30]:

['saya', 'tinggal', 'rm100M']

[31]:

tokenizer.tokenize('saya tinggal rm100.123M')

[31]:

['saya', 'tinggal', 'rm100.123M']

[32]:

tokenizer.tokenize('saya tinggal 40 sen')

[32]:

['saya', 'tinggal', '40 sen']

[33]:

tokenizer.tokenize('saya tinggal 21 ringgit 50 sen')

[33]:

['saya', 'tinggal', '21 ringgit', '50 sen']

[73]:

tokenizer.tokenize('saya tinggal 21 juta ringgit')

[73]:

['saya', 'tinggal', '21 juta ringgit']

[74]:

tokenizer.tokenize('saya tinggal rm 2ribu')

[74]:

['saya', 'tinggal', 'rm 2ribu']

[75]:

tokenizer.tokenize('saya tinggal rm2 juta')

[75]:

['saya', 'tinggal', 'rm2 juta']

date#

[34]:

tokenizer.tokenize('tarikh perjumpaan 10/11/2011')

[34]:

['tarikh', 'perjumpaan', '10/11/2011']

[35]:

tokenizer.tokenize('tarikh perjumpaan 10-11-2011')

[35]:

['tarikh', 'perjumpaan', '10-11-2011']

[36]:

tokenizer.tokenize('tarikh perjumpaan 12 mei 2011')

[36]:

['tarikh', 'perjumpaan', '12 mei 2011']

[37]:

tokenizer.tokenize('tarikh perjumpaan mei 12 2011')

[37]:

['tarikh', 'perjumpaan', 'mei 12 2011']

time#

[38]:

tokenizer.tokenize('jumpa 3 am')

[38]:

['jumpa', '3 am']

[39]:

tokenizer.tokenize('jumpa 3.30am')

[39]:

['jumpa', '3.30am']

[40]:

tokenizer.tokenize('jumpa 22:00')

[40]:

['jumpa', '22:00']

[41]:

tokenizer.tokenize('jumpa pukul 2')

[41]:

['jumpa', 'pukul 2']

[42]:

tokenizer.tokenize('jumpa pukul 2.30')

[42]:

['jumpa', 'pukul 2.30']

[43]:

tokenizer.tokenize('jumpa 2.30 pagi')

[43]:

['jumpa', '2.30 pagi']

[44]:

tokenizer.tokenize('jumpa 2.30 ptg')

[44]:

['jumpa', '2.30 ptg']

[45]:

tokenizer.tokenize('jumpa 2.30 malam')

[45]:

['jumpa', '2.30 malam']

[46]:

tokenizer.tokenize('jumpa 2.30 tngahari')

[46]:

['jumpa', '2.30 tngahari']

[47]:

tokenizer.tokenize('jumpa 2:30:00 tngahari')

[47]:

['jumpa', '2:30:00 tngahari']

[48]:

tokenizer.tokenize('jumpa pukul 2:30:00 tngahari')

[48]:

['jumpa', 'pukul 2:30:00', 'tngahari']

censored#

[49]:

tokenizer.tokenize('f**k lah')

[49]:

['f**k', 'lah']

emphasis#

[50]:

tokenizer.tokenize('*damn* good weih')

[50]:

['*damn*', 'good', 'weih']

numbers#

[51]:

tokenizer.tokenize('no saya 123')

[51]:

['no', 'saya', '123']

temperature#

[52]:

tokenizer.tokenize('sejuk harini, 31.1c')

[52]:

['sejuk', 'harini', ',', '31.1c']

[53]:

tokenizer.tokenize('sejuk harini, 31.1C')

[53]:

['sejuk', 'harini', ',', '31.1C']

distance#

[54]:

tokenizer.tokenize('nak sampai lagi 31km')

[54]:

['nak', 'sampai', 'lagi', '31km']

[55]:

tokenizer.tokenize('nak sampai lagi 31 km')

[55]:

['nak', 'sampai', 'lagi', '31 km']

volume#

[56]:

tokenizer.tokenize('botol ni 400ml')

[56]:

['botol', 'ni', '400ml']

[57]:

tokenizer.tokenize('botol ni 400 l')

[57]:

['botol', 'ni', '400 l']

duration#

[58]:

tokenizer.tokenize('aku dah tunggu kau 2jam kut')

[58]:

['aku', 'dah', 'tunggu', 'kau', '2jam', 'kut']

[59]:

tokenizer.tokenize('aku dah tunggu kau 2 jam kut')

[59]:

['aku', 'dah', 'tunggu', 'kau', '2 jam', 'kut']

[60]:

tokenizer.tokenize('lagi 10 minit 3 jam')

[60]:

['lagi', '10 minit', '3 jam']

weight#

[61]:

tokenizer.tokenize('berat kau 60 kg')

[61]:

['berat', 'kau', '60 kg']

[62]:

tokenizer.tokenize('berat kau 60kg')

[62]:

['berat', 'kau', '60kg']

hypen#

[63]:

tokenizer.tokenize('sememang-memangnya kau sakai')

[63]:

['sememang-memangnya', 'kau', 'sakai']

[64]:

tokenizer.tokenize('sememang- memangnya kau sakai')

[64]:

['sememang', '-', 'memangnya', 'kau', 'sakai']

IC#

[65]:

tokenizer.tokenize('sememang-memangnya kau sakai, 911223-06-2305')

[65]:

['sememang-memangnya', 'kau', 'sakai', ',', '911223-06-2305']

Sentence tokenizer#

We considered prefixes, suffixes, starters, acronyms, websites, emails, digits, before digits, time and month to split a sentence into multiple sentences.

class SentenceTokenizer:
    def __init__(self):
        pass

[66]:

s = """
no.1 polis bertemu dengan suspek di ladang getah. polis tembak pui pui pui bertubi tubi
"""

[67]:

s_tokenizer = malaya.tokenizer.SentenceTokenizer()

[68]:

s_tokenizer.tokenize(s)

[68]:

['no.1 polis bertemu dengan suspek di ladang getah.',
 'polis tembak pui pui pui bertubi tubi.']

[69]:

s = """
email saya di husein.zol01@gmail.com, nanti jom berkopi
"""

[70]:

s_tokenizer.tokenize(s)

[70]:

['email saya di husein.zol01@gmail.com, nanti jom berkopi.']

[71]:

s = """
ke. 2 cerita nya begini. saya berjalan jalan ditepi muara jumpa anak dara.
"""

[72]:

s_tokenizer.tokenize(s)

[72]:

['ke.2 cerita nya begini.',
 'saya berjalan jalan ditepi muara jumpa anak dara.']

Word and sentence tokenizer

Contents

Word and sentence tokenizer#

Load word tokenizer#

url#

tags#

emails#

users#

hashtags#

phones#

percents#

money#

date#

time#

censored#

emphasis#

numbers#

temperature#

distance#

volume#

duration#

weight#

hypen#

IC#

Sentence tokenizer#