Skip to main content
SimilarExport ZIP
100%

Named Entity Recognition on Folger's XML Edition of *A Winter's Tale*

✓ Published0🌍 Public
CCliffordAnderson
Last edited Mar 18, 2014
Created on Jan 2, 2014

This visualization maps the named entities in a TEI-encoded XML edition of Shakespeare’s *A Winter’s Tale* by classifying each line of dialogue with the Stanford NER library’s `english.muc.7class.distsim.crf` classifier. It shows how the text’s person, location, and organization labels distribute across acts and scenes, highlighting character mentions as the play progresses. Written in XQuery 3.0, the code extracts line text from `//tei:ab` nodes, joining `tei:w`, `tei:pc`, and `tei:lb` elements into a single string, then calls `ner:classify-string` per line. The output feeds a visualization that preserves the original line breaks, revealing which characters dominate each segment of the play.

AI-generated description

Similar vizzes

Loading thumbnail…

A list of all the paths in the Folger XML edition of *Much Ado About Nothing*

This visualization displays every unique XML element path in the Folger Shakespeare Library’s TEI edition of *Much Ado About Nothing*, showing the document’s structural hierarchy as a collapsible tree. It reveals how the play’s text is organized, from the TEI header’s metadata (like editorial declarations and source descriptions) down to nested speech and stage-direction elements. The code uses D3’s `d3.forceSimulation` to layout the nodes and `d3.hierarchy` to compute parent-child relationships from the path list. The data originates from a gist containing `paths.txt`, which is parsed into a tree structure for rendering.

CCliffordAnderson
65% match
Loading thumbnail…

This is my example code from our classroom exercise

This example visualizes stage directions from a TEI-encoded text by associating each person with the stages they appear in. The XQuery code iterates through `//person` elements and collects matching `//stage` elements based on the `@who` attribute, outputting a structured XML list of directions per character. It relies on the TEI namespace and uses `fn:tokenize` to parse multiple ID references. The result is a plain XML document, not a graphical rendering, serving as a preprocessing step for potential downstream visualization.

CCliffordAnderson
64% match
Loading thumbnail…

A list of all the TEI element leaves in the Folger Shakespeare edition of *Much Ado about Nothing*

This visualization lists all TEI element leaves found in the Folger Shakespeare edition of *Much Ado about Nothing*, showing the raw hierarchical vocabulary of the text’s markup. It displays each unique leaf tag—such as `<w>`, `<pb>`, and `<stage>`—in a simple ordered list, making the document’s structural diversity immediately visible. The page is built with plain HTML and CSS, relying on the browser’s native DOM parsing to render the static list from the precomputed data. No JavaScript libraries or dynamic rendering are used; the source data comes from a gist authored by CliffordAnderson, presenting the tags exactly as extracted from the TEI-encoded play.

CCliffordAnderson
64% match
Loading thumbnail…

For XQuery4Humanists

This example visualizes the frequency and distribution of words extracted from a TEI-encoded poem, processing the text to remove punctuation, normalize case, and tokenize it into a list. The visualization shows the resulting word list as a simple textual display, highlighting the raw output of the XQuery processing pipeline. The code uses XQuery 3.0 functions like `fn:tokenize`, `fn:lower-case`, and `fn:replace` to clean the data, pulling the source directly from a remote XML file hosted on GitHub. The rendering relies solely on the XQuery return, with no additional JavaScript or charting libraries involved.

CCliffordAnderson
62% match
Loading thumbnail…

Query for long and short phrases in Shakespeare's plays

This visualization shows the distribution of long versus short phrases in Shakespeare’s plays, counting how many phrases exceed twenty characters. A bar-like layout compares the two categories, making the frequency difference immediately visible. The code uses XQuery 3.0 with the `fn:collection` and `tei:ab` functions to access and iterate over TEI-annotated text blocks, applying `fn:string-length` to classify each phrase. It groups results by length category using the `group by` clause, then dynamically constructs an element named `long-phrase` or `short-phrase` with the corresponding count, rendering the final output as XML.

CCliffordAnderson
60% match
Loading thumbnail…

Produces word frequency list for speakers in Much Ado about Nothing.

This example uses XQuery 3.0 with the TEI namespace to generate a per-speaker word frequency list from Shakespeare’s *Much Ado about Nothing*. It processes the TEI-encoded XML document, iterating over distinct speakers and counting each word’s occurrences within their spoken lines, then outputs a sequence of `<word>` elements with the speaker, type, count, and weighted frequency. The query relies on `fn:distinct-values`, `fn:count`, and an `order by` clause to rank terms.

CCliffordAnderson
60% match
Loading thumbnail…

<title>"Tie the strings to my life, my Lord"

This visualization uses a force-directed network layout to map Emily Dickinson’s poem “Tie the strings to my life, my Lord” and its textual variants from the TEI-encoded XML source. It shows how alternate word choices and editorial emendations branch from each line, revealing the poem’s structural decisions. The graph is built with `d3.forceSimulation`, where nodes represent individual words or variant readings and links connect sequential lines, with `d3.drag` for interaction. Node size encodes word frequency, and color distinguishes the manuscript (MS) from the 1896 print witness, using `d3.scaleOrdinal`. Hovering triggers `transition.attrTween` to highlight variant paths, while the layout is computed asynchronously from parsed XML via `DOMParser`.

CCliffordAnderson
59% match
Loading thumbnail…

This example of recursive descent in XQuery is adapted from Joe Wicentowski (https://gist.github.com/joewiz/2331558#file-typeswitch-skeleton-xq). It rather naively formats scenes from the Folger Library Shakespeare TEI editions for display in HTML. This example is intended for the demonstration of the concept, not actual use.

This example shows recursive descent in XQuery rendering scenes from a Folger Library Shakespeare TEI edition into HTML. It demonstrates how a typeswitch pattern matches distinct TEI elements—such as `tei:head`, `tei:w`, `tei:stage`, and `tei:speaker`—to produce formatted output like headings, stage directions, and speaker labels. The code relies on XQuery 3.0’s built-in `typeswitch` and function recursion, using `local:render` and `local:recurse` to traverse the XML tree. It serializes to XHTML via `exist:serialize`, pulling the source document from `/db/shakespeare/JC.xml` without external libraries.

CCliffordAnderson
59% match