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Oxford Academic is home to a wide variety of products. View the institutional accounts that are providing access.POS Tagger for specific language is usually built with generic domain corpus. View your signed in personal account and access account management features. Part-of-speech tagging is a process to apply word class of a word in texts.Some societies use Oxford Academic personal accounts to provide access to their members.Ĭlick the account icon in the top right to: See below.Ī personal account can be used to get email alerts, save searches, purchase content, and activate subscriptions. Some societies use Oxford Academic personal accounts to provide access to their members. If you do not have a society account or have forgotten your username or password, please contact your society. Do not use an Oxford Academic personal account. When on the society site, please use the credentials provided by that society.

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Shibboleth / Open Athens technology is used to provide single sign-on between your institution’s website and Oxford Academic. This authentication occurs automatically, and it is not possible to sign out of an IP authenticated account.Ĭhoose this option to get remote access when outside your institution. Typically, access is provided across an institutional network to a range of IP addresses. If you are a member of an institution with an active account, you may be able to access content in one of the following ways: The Cross Tab tool output now contains the tabular form of the Part-of-Speech Tagger tool output.Get help with access Institutional accessĪccess to content on Oxford Academic is often provided through institutional subscriptions and purchases.

Method for Aggregating Values: Select Concatenate.

Values for New Columns: Select the JSON_ValueString.

Change Column Headers: Select the third split JSON name column (by default this is JSON_Name3).

Group data by these values: Select the column name containing your original text data and the second split JSON name column (by default this is JSON_Name2).

Pass the Text to Columns tool output to the Cross Tab tool input.

Select Split to columns and set Number of columns to 3.

Select the JSON name column under Column to split and set Delimiters to a period (.

Pass the JSON Parse tool output to the Text To Columns input.

Select Output values into single string field.

Select the part-of-speech column under JSON Field.

Pass the Part-of-Speech Tagger tool output to the JSON Parse tool input.

To transform the JSON output to tabular data, use a combination of the JSON Parse, Text To Columns, and Cross Tab tools in this example flow:

dependency_diagram: This column contains an HTML object of the displaCy tagger dependency diagram that is viewable via the Browse tool.

word_index: The index of the word in the corpus.

character_index: The index of the 1st character of the word in the corpus.

dependency_description: The part of speech dependency description.

dependency: The part of speech dependency.

fine_grained_tag_description: The fine-grained part of speech tag description.

fine_grained_tag: The fine-grained part of speech tag.

part_of_speech_description: The course-grained part of speech tag description.

part_of_speech: The course-grained part of speech tag.

Each token (word) in a corpus (where each row in the input text column contains a corpus) contains the values listed below within the JSON output.

part_of_speech_tags: This column contains a JSON output with a list of part-of-speech tags and descriptions.The Part-of-Speech Tagger tool outputs the incoming columns in addition to 2 columns:

Part of speech tagger