-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathabout.html
86 lines (75 loc) · 4.04 KB
/
about.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Strictly</title>
<meta name="description" content="Make poetic forms online">
<meta property="og:image" content="[[Insert Absolute Path]]">
<!--
GOOGLE FONTS USED:
"Roboto Mono",
"Fraunces",
"Spectral"
-->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Fraunces:ital,opsz,wght,WONK@0,9..144,100..900,1;1,9..144,100..900,1&family=Roboto+Mono:ital,wght@0,100..700;1,100..700&family=Spectral:ital,wght@0,300;0,400;0,500;0,600;0,700;0,800;1,400;1,500;1,600;1,700;1,800&display=swap" rel="stylesheet">
<!-- HTMX -->
<script src="https://unpkg.com/htmx.org@2.0.3" integrity="sha384-0895/pl2MU10Hqc6jd4RvrthNlDiE9U1tWmX7WRESftEDRosgxNsQG/Ze9YMRzHq" crossorigin="anonymous"></script>
<link href="css/style.css" rel="stylesheet">
</head>
<body hx-boost="true">
<header>
<top-part>
<inner-column>
<ul class="title-bar">
<li class="title"><a href="/">strictly</a></div>
<li class="login"><a href="login.html">log in</a></div>
</ul>
</inner-column>
</top-part>
<bottom-part>
<inner-column>
<nav>
<ul class="site-nav">
<li>
<a href="home.html">home</a>
</li>
<li>
<a href="about.html">about</a>
</li>
<li>
<a href="create.html">create</a>
</li>
</ul>
</nav>
</inner-column>
</bottom-part>
</header>
<main>
<section>
<inner-column>
<h1 class="loud-voice">Meter</h1>
<p class="body-copy">Meter in English is usually thought of as consisting of sequences of stressed and unstressed syllables.</p>
<p class="body-copy">Let us consider the following line:</p>
<p class="body-copy">'He wants to see a flamingo.'</p>
<p class="body-copy">We could analyze the meter in either of these two ways:</p>
<pre class="mono block-quote">
x / x / x x / x
he WANTS to SEE a flaMINgo
/ x x / x x / x
HE wants to SEE a flaMINgo
</pre>
<p class="body-copy">Things to observe. Single syllable words have ambiguous stress. There are some... general patterns. You could try to come up with rules, or, train a LLM on it. But you're always going to have sentences like this, where altering the meter is a matter of shifting our attention around in a sentence.</p>
<p class="body-copy">Another thing to observe: 'flamingo' always has the same stress pattern. Try to pronounce FLAminGO. The mouth resists. This is a general pattern: multisyllabic words have stresses that are more baked-in. Some multi-syllabic words are differentiated entirely by their stresses. Take CONFLICTS. As in “global CONflicts” and “that conFLICTS with my schedule”.</p>
<p class="body-copy">There is some flexibility in multisyllabic words, e.g. I can hear INTRICATELY with either a stressed or unstressed final syllable, i.e /xx/ vs /xxx.</p>
<p class="body-copy">All of those poses problems for any sort of algorithmic meter detection. What I've aimed for with this tool is more of a "meter validator". It doesn't aim to tell you what the true meter of a line of text is, but rather, if a line of text could fit a specific meter.</p>
<p class="body-copy">It accomplishes this by ignoring single syllable words, which as we've shown, have irreducibly ambiguous meters, and instead focuses on validating that the multi-syllablic words have stresses in the correct places.</p>
<p class="body-copy">I'm using the CMU Pronouncing Dictionary for this project. It is not comprehensive. I'm interested in incorporating machine learning in order to come up with a "best-guess" stress pattern for unfamiliar. But that has not been implemented yet.</p>
<p class="body-copy">I do have some concern that this app will train people to think of poetic forms as "rules you have to follow". They are organizing principles, not laws. Deviation is encouraged.</p>
</inner-column>
</section>
</main>
</body>
</html>