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Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects

bitext
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#
form
lemma
POS
mood
tense
polarity
person
number
politeness
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Coverage
240
Countries

Data Dictionary

[Sample] Bitext_JA_Japanese_Sample_BaseLexicon_Inflection.csv
Attribute Type Example Mapping
form
String
lemma
String
POS
String interjection
mood
String n/a
tense
String n/a
polarity
String n/a
person
String n/a
number
String n/a
politeness
String n/a

Description

At Bitext, we offer advanced linguistic tools designed for automated pre-labeling of datasets to help scale Data Annotation and Labeling (DAL) projects.
We offer a full range of solutions: Multilingual: up to 77 languages (English, Spanish, French, German, Italian, Portuguese, Arabic, Chinese, Japanese, Korean…) Multiple NLP functions: NER, Sentiment, POS Tagging, Anonymization / PII Detection, Intent Detection… As Software: Extremely efficient performance: multiplatform C libraries, 500,000 words per second w/ 8 CPUs Flexible deployment: as SDK or as API, both in cloud and on-premise As Data for GenAI Model Training: Rich data dictionaries: 80 Million tagged words in 77 languages Rich tagged corpora: 50 Billion tagged & categorized words in 77 languages Our technology is based on 10 years of experience in the sector with clients 3 of the top5 NASDAQ companies. Lexical Data: NER (Named Entity Recognition) Topic-Based Sentiment Analysis POS Tagging Anonymization / PII Detection

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Pricing

bitext has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Use Cases

Categories

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Frequently asked questions

What is Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects?

At Bitext, we offer advanced linguistic tools designed for automated pre-labeling of datasets to help scale Data Annotation and Labeling (DAL) projects.

What is Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects used for?

This product has 5 key use cases. bitext recommends using the data for Artificial Intelligence (AI), Data Enrichment, Data Augmentation, Data Enhancement, and Data Labeling. Global businesses and organizations buy Natural Language Processing (NLP) Data from bitext to fuel their analytics and enrichment.

Who can use Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Natural Language Processing (NLP) Data. Get in touch with bitext to see what their data can do for your business and find out which integrations they provide.

Which countries does Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects cover?

This product includes data covering 240 countries like USA, China, Japan, Germany, and India. bitext is headquartered in United States of America.

How much does Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects cost?

Pricing information for Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects is available by getting in contact with bitext. Connect with bitext to get a quote and arrange custom pricing models based on your data requirements.

What is the data quality of Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects?

You can compare and assess the data quality of bitext using Datarade’s data marketplace.

What are similar products to Bitext NLP Labeling for Gen AI Data Annotation and Labeling (DAL) projects?

This product has 3 related products. These alternatives include Nexdata Text Annotation Services AI-assisted Labeling Text Labeling for AI & ML Text Data Natural Language Processing (NLP) Data, Coresignal Employee Data AI-Enriched Dataset Global / 589+ Records / Updated Weekly, and FileMarket 20,000 Voice Memos Multilingual Training Data for Conversational AI Machine Learning (ML) Data. You can compare the best Natural Language Processing (NLP) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request