User:TJones (WMF)/Notes/HebMorph Analyzer Analysis

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May 2017 โ€” See TJones_(WMF)/Notes for other projects. See also T162741. For help with the technical jargon used in the Analysis Chain Analysis, check out the Language Analysis section of the Search Glossary.

HebMorph[edit]

HebMorph seems to be the only game in town when it comes to Hebrew analysis (see T162739), so it's the one I've been looking at.

HebMorph deals with the complexities of Hebrew (lack of vowels which leads to lots of ambiguity, occasional use of vowel diacritics for pronunciation which leads to lack of matching, lots of prefixes and suffixes which add to complexity and ambiguity, spelling inconsistencies, etc., etc.), but it also has some unexpected issues that are potential areas for concern or confusion.

To provide roughly comparable examples in English, consider bt, whichโ€”following simple rules of dropping [aeiou] (and y when it acts like a vowel)โ€”could possibly be any of bat, bet, bit, but, bot, boat, beat, bait, beet, boot, about, bite, abet, abut, obit, byte, bute, abate, or, my favorite, ubiety. (Now you know why Hebrew roots are mostly three consonants and not twoโ€”so fewer words overlap!)

The situation with prefixes means that some prepositions, conjunctions, and determiners attach to the word that follows them, so andiron could be andiron or and iron. Similarly, conjunctions could be the rare surname Totherow, or to Therow (Therow is also a rare surname), or old boring to the row.

None of these examples are great because English doesn't really have this situation, but hopefully you get the gist.

Processing Speed[edit]

The first thing that I noticed is that HebMorph is kind of slow. I ran a 5K article sample with the default prod settings as a baseline, and it took 1m20s. With the default HebMorph config, 3m52sโ€”so about 3x slower. This was on my laptop in vagrant, so the problem may not be relevant to production, where there is a lot more memory available and beefier processors.

It's also a somewhat unnatural task passing text to be analyzed from outside Elastic via the API using curl (the curl overhead used to dwarf all other timeโ€”I recently got a general 30x speedup by minimizing curl calls and passing a lot more text per call). It's a potential concern to keep an eye on.

I ran some re-indexing tests on RelForge, which is certainly beefier than my laptop. Re-indexing ~205K articles with the production settings took 12m27s. Re-indexing with the default Hebrew analyzer took 23m22s. The unpacked analyzer (see below) took 21m17s.

So, roughly 2x to re-index on RelForge is significant, but Hebrew Wikipedia is only at ~205K articles. Again, something to keep an eye on, but not a disaster. Moore's law will probably keep us ahead of likely growth in Hebrew wikis.

"Previous Bugs"[edit]

The Analysis Config Builder code claims we didn't use HebMorph in the past because of bugs, but there are no specifics or pointers to more info, so I'm going to ignore that for now.

If anyone knows anything about previous bugs that might still be relevant, let me know!

Multiple Analyzers[edit]

The HebMorph plugin comes with several analyzers: hebrew, hebrew_query, hebrew_query_light, hebrew_exact, and an individual lemmatizers and a couple of char filters that allow you to unpack the analyzer and customize it. Oddly, there's no difference in output between hebrew and hebrew_query (on 5K articles), despite a minor config diff between them in the source code.

Multiple Analyzed Terms[edit]

An interesting feature of Hebrew is that without vowels, and with the various affixes, words without niqqud tend can be very ambiguous. Apparently there is also some spelling variation and/or common mistakes the plugin tries to account for. As a result, there are a lot of words that generate multiple analyzed tokensโ€”much more so than other language analyzers.

For example, Chinese, English, French, Polish, Russian, and Swedish analyzers generated only one analyzed token per word out of 100K+ tokens. Ukrainian had up to four, but only for 13 out of almost 200K tokens, and 97.6% had only 1.

On a 5K sample of Hebrew with 200K+ tokens, words generated up to 14 tokens each! The mean was closer to 2 (1.38 to 2.26, depending on the analyzer, other than hebrew_exact, which always returns one).

$[edit]

An idiosyncratic feature of HebMorph is that exact forms are analayzed with a $ at the end. This applies to both Hebrew and non-Hebrew words. The hebrew_exact analyzer returns only this $-suffixed form.

The hebrew/hebrew_query analyzers return the $-suffixed form, and can give two terms that differ only by the $.

The hebrew_light analyzer drops the $ from "Hebrew words" (which includes actual Hebrew words, but also seems to include any token that starts with a Hebrew letter). However, hebrew_light doesn't drop the $ from non-Hebrew words.

Unpacking the analyzer gives us the option to drop the final $. For Hebrew words, the $-form is deduped, but for non-Hebrew words, two identical copies are returned. For words with appropriate multiple forms (Andrรฉ โ†’ andre / andrรฉ), two of each are returned. When unpacking the Hebrew analyzer, I'm using the niqqud filter,  hebrew_lemmatizer filter, and the icu_normalizer filter (which also lowercases Latin text).

Example Results by Analyzer[edit]

Below are some examples of different tokens (as defined by the Hebrew tokenizer) and their analyzed forms.

$ are supposed to be at the ends of words, but difficulties with your browser, difficulties with my editor, and the phase of the moon may affect the way it displays below.

There's a very interesting token, ื•"Lonely, in the table. ื• is a prefix meaning and, which can be attached to the beginning of nouns. In this case, it was attached to the Paul Anka song title, "Lonely Boy". Hebrew abbreviations use special punctuation marks that look sort of like single and double quotes, soโ€”as with every other character that looks like a single or double quoteโ€”people sometimes use single and double quote characters instead, which is why the tokenizer allowed the token with a double quote in it. The Hebrew analyzers all analyze it correctly, and the non-Hebrew analyzers re-tokenized it into two parts, splitting on the double quote.

term prod (text) prod (plain) hebrew & hebrew_query hebrew_query_light hebrew_exact unpacked + LC/ICU
ืื•ื‘ื“ื™ ืื•ื‘ื“ื™ ืื•ื‘ื“ื™ ืื•ื‘ื“ื™$ / ืื‘ื“ ืื‘ื“ ืื•ื‘ื“ื™$ ืื•ื‘ื“ื™ / ืื‘ื“
ื•ื”ืื‘ื•ืœื•ืฆื™ื” ื•ื”ืื‘ื•ืœื•ืฆื™ื” ื•ื”ืื‘ื•ืœื•ืฆื™ื” ื•ื”ืื‘ื•ืœื•ืฆื™ื”$ / ืื‘ื•ืœื•ืฆื™ื” ืื‘ื•ืœื•ืฆื™ื” ื•ื”ืื‘ื•ืœื•ืฆื™ื”$ ื•ื”ืื‘ื•ืœื•ืฆื™ื” / ืื‘ื•ืœื•ืฆื™ื”
ืื™ื‘ืจื”ื™ื ืื™ื‘ืจื”ื™ื ืื™ื‘ืจื”ื™ื ืื™ื‘ืจื”ื™ื$ / ืื‘ื™ืจ / ืื‘ืจื”ื / ืื‘ืจ / ืื™ื‘ืจ ืื‘ื™ืจ / ืื‘ืจื”ื / ืื‘ืจ / ืื™ื‘ืจ ืื™ื‘ืจื”ื™ื ืื™ื‘ืจื”ื™ื / ืื‘ื™ืจ / ืื‘ืจื”ื / ืื‘ืจ / ืื™ื‘ืจ
ื•ืžืชืฉื™ืฉื•ืช ื•ืžืชืฉื™ืฉื•ืช ื•ืžืชืฉื™ืฉื•ืช ื•ืžืชืฉื™ืฉื•ืช$ / ืชืฉื™ืฉื•ืช ืชืฉื™ืฉื•ืช ื•ืžืชืฉื™ืฉื•ืช$ ื•ืžืชืฉื™ืฉื•ืช / ืชืฉื™ืฉื•ืช
ืœืชืจืขื•ืžืช ืœืชืจืขื•ืžืช ืœืชืจืขื•ืžืช ืœืชืจืขื•ืžืช$ / ืชืจืขื•ืžืช ืชืจืขื•ืžืช ืœืชืจืขื•ืžืช$ ืœืชืจืขื•ืžืช / ืชืจืขื•ืžืช
ืฉืื™ืคื™ื™ื ื” ืฉืื™ืคื™ื™ื ื” ืฉืื™ืคื™ื™ื ื” ืื•ืคื™ื™ืŸ / ืื•ืคืŸ / ืืคื•ืŸ / ืืคื•ื ื” / ืืคื™ื™ืŸ / ืืคื ื” / ื”ื•ืคื ื” / ื”ืคื ื” / ื ืคื ื” / ืคื•ื ื” / ืคื™ื ื” / ืคื ื” / ืฉืื™ืคื™ื™ื ื”$ / ืฉืืฃ ืฉืืฃ / ืื•ืคื™ื™ืŸ / ืื•ืคืŸ / ื”ื•ืคื ื” / ืืคื•ื ื” / ืืคื•ืŸ / ืคื•ื ื” / ืืคื™ื™ืŸ / ืืคื ื” / ื”ืคื ื” / ื ืคื ื” / ืคื™ื ื” / ืคื ื” ืฉืื™ืคื™ื™ื ื”$ ืฉืื™ืคื™ื™ื ื” / ืฉืืฃ / ืื•ืคื™ื™ืŸ / ืื•ืคืŸ / ื”ื•ืคื ื” / ืืคื•ื ื” / ืืคื•ืŸ / ืคื•ื ื” / ืืคื™ื™ืŸ / ืืคื ื” / ื”ืคื ื” / ื ืคื ื” / ืคื™ื ื” / ืคื ื”
ืืืœื™ื” ืืืœื™ื” ืืืœื™ื” ืืืœื™ื”$ / ืืืœื™ื” ืืืœื™ื” ืืืœื™ื”$ ืืืœื™ื” / ืืืœื™ื”
ืึธืึฐืœึดื™ึทื” ืึธืึฐืœึดื™ึทื” ืืืœื™ื” / ืึธืึฐืœึดื™ึทื” ืืืœื™ื”$ / ืืืœื™ื” ืืืœื™ื” ืืืœื™ื”$ ืืืœื™ื” / ืืืœื™ื”
ื•"Lonely ื• + Lonely ื• + Lonely lonely$ / lonely lonely lonely$ lonely / lonely
lonely lonely lonely lonely$ / lonely lonely$ / lonely lonely$ lonely / lonely
Andrรฉ andrรฉ andre / andrรฉ andre$ / andre andre$ / andre andre$ andre / andrรฉ / andre / andrรฉ
andre andre andre andre$ / andre andre$ / andre andre$ andre / andre
straรŸe strasse strasse strasse$ / strasse strasse$ / strasse strasse$ strasse / strasse
แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜ แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜ แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜ แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜$ / แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜ แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜$ / แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜ แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜$ แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜ / แƒœแƒ˜แƒฆแƒแƒ‘แƒ˜
ู„ุง ู„ุง ู„ุง ู„ุง$ / ู„ุง ู„ุง$ / ู„ุง ู„ุง$ ู„ุง / ู„ุง
โต™โต“โต™ โต™โต“โต™ โต™โต“โต™ โต™โต“โต™$ / โต™โต“โต™ โต™โต“โต™$ / โต™โต“โต™ โต™โต“โต™$ โต™โต“โต™ / โต™โต“โต™

Comparing Analyzers[edit]

Production vs HebMorph hebrew[edit]

  • production tokens: 2,514,279
  • HebMorph tokens: 6,121,267

That's a lot more tokensโ€”but it seems unavoidable with the ambiguity of Hebrew, plus all those $-final tokens.

  • 1.2% of input tokens have 1 analyzed token
  • 78.8% of input tokens have 2 analyzed tokens
  • 14.6% of input tokens have 3 analyzed tokens
  • 3.8% of input tokens have 4 analyzed tokens
  • 1.1% of input tokens have 5 analyzed tokens

New Collision Stats

  • types: 193714 (86.803%) [post-analysis types]
  • tokens: 2355995 (93.705%)

So the vast majority of tokens, being Hebrew words that tend to be ambiguous, are indexed with some other word now.

A small number of splits occurred as well. All are due to bi-directional Unicode characters. The production config leaves the bidi characters as part of the token, but removes them for the analyzed form. HebMorph just ignores them from the beginning.

Tokenization is different, with words split on periods and commas (including numbers), underscores, colons, and other Unicode characters, particularly combining characters like stress marks in Cyrillic, IPA diacritics, Devanagari and Thai combining characters. There's also some Unicode normalization (e.g. ษพ โ†’ r)

  • 0.01M โ†’ 0 / 01M
  • 1.6ยบC โ†’ 1 / 6ยบc
  • 1.9891x10 โ†’ 1 / 9891x10
  • foo_bar โ†’ foo / bar
  • foo:bar โ†’ foo / bar
  • foo.bar โ†’ foo / bar
  • 1,200 โ†’ 1 / 200
  • Nยทs โ†’ N / s
  • ะ“ั€ะธะณะพฬั€ะธะน โ†’ ะณั€ะธะณะพ / ั€ะธะน
  • เค•เคฎเคพเคจ โ†’ เค•เคฎ / เคจ
  • ื.ื” โ†’ ื / ื”
  • moฬžหˆษพแบฝnษ โ†’ mo / rena
  • หˆtอกสƒipriหˆan โ†’ t / สƒipriหˆan
  • เน€เธเธฒเธฐเธŠเน‰เธฒเธ‡ โ†’ เน€เธเธฒเธฐเธŠ / เธฒเธ‡

In general, these are uncommon, not Hebrew, and should still work reasonably well with the plain field.

Of course, the Hebrew tokenizer includes a lot of tokens with an additional final $, as discussed above.

HebMorph is also smart about Hebrew affixes on non-Hebrew words, as discussed above.

I'm leaving the bulk of the changesโ€”the actual Hebrew analysisโ€”for later, after we compare the different Hebrew options.

HebMorph hebrew vs HebMorph hebrew_query_light[edit]

  • hebrew tokens: 6,121,267
  • hebrew_query_light tokens: 3,794,234

That's a lot fewer tokens, without most of the $-final tokens gone (though they are still there on Latin-character words).

  • 69.8% of input tokens have 1 analyzed token
  • 24.8% of input tokens have 2 analyzed tokens
  • 3.8% of input tokens have 3 analyzed tokens
  • 1.1% of input tokens have 4 analyzed tokens
  • 0.3% of input tokens have 5 analyzed tokens

Since I don't think I agree with the rationale behind the $-final terms (making exact matches possibleโ€”a task for which we have the plain field), this is great, since the number of tokens has gone down by 38.0%.

HebMorph hebrew_query_light vs Unpacked HebMorph w/ lowercase[edit]

I was hoping to get rid of all the $-final tokens, so I unpacked the analyzer, and skipped the filter that adds the $-final form. I still used the niqqud and hebrew_lemmatizer filters, and the lowercase/icu_normalizer filter. (The lowercase filter is replaced with the icu_normalizer filter if it's available. It does a bit more that's generally useful. Without it, Foo and foo would index separately, which seems silly.)

  • hebrew_query_light tokens: 3,794,234
  • unpacked/lowercase tokens: 5,063,634

Hmm. That's a lot more tokens, which I did not expect.

There was no different pre-analysis tokens, so the tokenization seems to be the same.

Analyzed token difference include:

  • $-final tokens are gone.
  • Greek final ฯ‚ is converted to ฯƒ, as it darn well should be!
  • Latin accented characters are preserved
  • A few Unicode characters are converted to plain characters (dสฒ โ†’ dj)
  • Some IPA is preserved
  • Raised o (ยบ) is used as a degree sign, and gets converted to o, so 45ยบ โ†’ 45o.

But the bulk of the differences (129,723 types, 1,250,642 tokens) are Hebrew tokens. These seem to be the exact tokens for Hebrew words, without the final $ added.

There were very few new collisions or splits, mostly splits related to the lack of ascii folding, which is built into HebMorph.

Unpacked HebMorph: lowercase vs lowercase/folding[edit]

Both have the same number of tokens (5,063,634) and all changes are the expected collisions from ICU folding, with no effect on Hebrew words.

I think folding foreign languages is usually good, so we should keep the folding enabled.

Unpacked HebMorph: lowercase/folding vs lowercase/folding/preserve[edit]

Another option is to enable ICU folding, while indexing both the original form of the word and the folded form. In this case it doesn't have much impact on Hebrew, because HebMorph has already done the Hebrew-related folding, but it effects some Latin, Greek, Cyrillic, and CJK characters.

  • Lowercase/folding tokens: 5,063,634
  • Lowercase/folding/preserve tokens: 5,065,585

There were no new collisions or splits, just additional tokens indexed.

As expected, a few tokens popped back up, mostly with accented characters, a few with variants that are important in the source, but less so to a non-speaker, and some phonetic characters.

The plain field, which usually does exact matching, has ICU folding with "preserve original" enabled for Hebrew, which is helpful because it removes niqqud (the vowel diacritics). I don't think we need to preserve the originals for non-Hebrew words in the text field.

What to do?[edit]

After talking with Matanya and Stas about exact matching and stemming and with David about the final $ and search internals, I don't think we need it, and David's convinced me to worry about it messing up Did You Mean suggestions and regular expression matching.

I think it's best to go with the unpacked version, since it gives us the most flexibility, and avoids the final-$. I think we should enable folding, too, but that we don't need to preserve originals in the text field.

One odd side-effect of using HebMorph is that searching Hebrew words with a final $ will prevent stemming in the analyzer. There doesn't seem to be anyway to turn it off. I don't think it comes up much, and we shouldn't tout it as a feature, since it would only be for Hebrew, and it could go away in the future. So, it's an acceptable quirk of the analyzer.

Of course, the next step is to test all this with native speakers looking at HebMorph output and using it on real data in labs.

Hebmorph Output Examples[edit]

Below are some examples of output from HebMorph, for native speaker review. These don't have to all be perfect, but they shouldn't all be horrible, either.

Groupings show words that HebMorph has indexed to a common stem. In English, this would be group and groups being indexed together, so that searching for one will find all the others.

Analyzed Terms show the (often multiple) terms that are indexed for a given search term. These are generally the possible root forms of a term. In English, this would be does being analyzed as both a form of do and a form of doe (does is the plural of doe, which is a deer, a female deer).

Random Groupings[edit]

Here are 50 randomly selected groupings. The analyzed term they share is bolded. Each term is shown with its frequency, so "[1 foo][2 bar]" means that foo occurred once in the sample, and bar occurred twice. The relative frequency is important, since lower-frequency errors matter less.

  • ืคืจืžืฆื‘ื˜ื™: [2 ืคืจืžืฆื‘ื˜ื™ื•ืช][1 ืคืจืžืฆื‘ื˜ื™ื™ื]
  • ื”ื›ืจืชื™: [1 ื”ึทื›ึฐึผืจึตืชึดื™][10 ื”ื›ืจืชื™][3 ื”ื›ืจืชื™ื•ืช][1 ื”ื›ืจืชื™ื™ื][1 ื”ื›ืจืชื™ืช][1 ืฉื”ื›ืจืชื™ื]
  • ืฉืขืœ: [1 ื•ืฉืขืœ][1 ื•ืฉืขืœื•][1 ื•ืฉืขืœื™][1 ื•ืฉืขืœื™ื”ื][11 ื›ืฉืขืœ][12 ื›ืฉืขืœื”][3 ื›ืฉืขืœื•][1 ื›ืฉืขืœื™ื”][1 ื›ืฉืขืœื™ื•][35 ืžืฉืขืœ][2 ืžืฉืขืœื”][2 ืžืฉืขืœื™][1 ืฉึถืืขึธืœื•ึผ][237 ืฉืขืœ][51 ืฉืขืœื”][39 ืฉืขืœื•][10 ืฉืขืœื™][41 ืฉืขืœื™ื”][30 ืฉืขืœื™ื”ื][12 ืฉืขืœื™ื”ืŸ][72 ืฉืขืœื™ื•][1 ืฉืขืœื™ืš][4 ืฉืขืœื™ื ื•]
  • ืงื™ื ื: [2 ื”ืžืงื ื][1 ื•ืงื™ื ืื•][1 ื™ืงื ื][2 ืœืงื ื][2 ืžืงื ื][1 ืžืงื ืื•ืช][2 ืžืงื ืืช][1 ืงึดื ึตึผื][3 ืงื™ื ื][2 ืงื™ื ืื”][2 ืงื ื][10 ืงื ืื”][13 ืงื ืื™][1 ืงื ืื ื”][1 ืฉืžืงื ื]
  • ืื’'ื ื“ื”: [6 ืื’'ื ื“ื”][3 ืื’'ื ื“ืช][1 ื‘ืื’'ื ื“ื”][5 ื”ืื’'ื ื“ื”]
  • ื’ื ื˜ืจื™ืงืก: [1 ื’ึถื ึถื˜ึฐืจื™ืงึฐืก][1 ื’ื ื˜ืจื™ืงืก]
  • ืžื•ื ื•ืคื•ืœ: [1 ื‘ืžื•ื ื•ืคื•ืœ][2 ื‘ืžื•ื ื•ืคื•ืœื™ื][5 ื”ืžื•ื ื•ืคื•ืœ][3 ื”ืžื•ื ื•ืคื•ืœื™ื][1 ื•ื‘ืžื•ื ื•ืคื•ืœื™ื][2 ื•ื”ืžื•ื ื•ืคื•ืœื™ื][1 ื•ืžื•ื ื•ืคื•ืœื™ื][1 ืœืžื•ื ื•ืคื•ืœ][6 ืžื•ื ื•ืคื•ืœ][6 ืžื•ื ื•ืคื•ืœื™ื]
  • ื’ื•ืคื™ืฃ: [1 ื•ื’ื•ืคื™ืฃ][1 ื•ื’ื•ืคื™ืคื™][1 ืžื”ื’ื•ืคื™ืฃ]
  • ืงื•ืกื˜ื•ื‘: [1 ืงื•ึนืกึฐื˜ื•ึนื‘][40 ืงื•ืกื˜ื•ื‘]
  • ืฉื™ืคื•ื“: [2 ื”ืฉื™ืคื•ื“][1 ืฉื™ืคื•ื“ื]
  • ืžืกื•ื™ื: [14 ื”ืžืกื•ื™ื][1 ื”ืžืกื•ื™ืžื™ื][1 ื”ืžืกื•ื™ืžืช][323 ืžืกื•ื™ื][142 ืžืกื•ื™ืžื•ืช][288 ืžืกื•ื™ืžื™ื][256 ืžืกื•ื™ืžืช][1 ืžืกื™ื•ื•ื™ื™ื]
  • ื‘ืœื•ื: [5 ื‘ื™ืœื•ื][37 ื‘ืœื•ื][3 ื‘ืœื•ืžื”][1 ื‘ืœืžื™ืช][2 ื”ื‘ื™ืœื•ื][1 ื•ื‘ืœื•ื][1 ื•ืœื‘ืœื•ื][40 ืœื‘ืœื•ื]
  • ืžื—ื‘ืœืช: [1 ื‘ืžื—ื‘ืœืช][4 ื”ืžื—ื‘ืœืช][1 ื•ื”ืžื—ื‘ืœืช][1 ืžื—ื‘ืœื•ืช][3 ืžื—ื‘ืœืช]
  • ื”ื ืฆืœื”: [4 ื”ื”ื ืฆืœื”][3 ื”ื ืฆืœื”][3 ืœื”ื ืฆืœื”][1 ืœื”ื ืฆืœืช]
  • ื ื–ื™ืœื”: [6 ื”ื ื–ื™ืœื•ืช][1 ื•ื”ื ื–ื™ืœื•ืช][1 ื•ื ื–ื™ืœื•ืช][1 ืœื ื–ื™ืœื•ืช][1 ื ื–ื™ืœื”][9 ื ื–ื™ืœื•ืช]
  • ื›ื“ื•ืจื’ืœื ื™ืช: [2 ื”ื›ื“ื•ืจื’ืœื ื™ื•ืช][2 ื”ื›ื“ื•ืจื’ืœื ื™ืช][15 ื›ื“ื•ืจื’ืœื ื™ืช][8 ืœื›ื“ื•ืจื’ืœื ื™ืช]
  • ืืชืจื•ื’: [8 ืืชืจื•ื’][1 ืืชืจื•ื’ื™][2 ืืชืจื•ื’ื™ื][1 ื”ืืชืจื•ื’][1 ื›ืืชืจื•ื’]
  • ืชื•ืงืŸ: [3 ื”ืžืชื•ืงืŸ][1 ื•ืžืชื•ืงื ื•ืช][4 ื•ืžืชื•ืงื ืช][1 ื•ืฉืชื•ืงื ื•][1 ื•ืชื•ืงืŸ][1 ื™ืชื•ืงืŸ][1 ื™ืชื•ืงื ื•][5 ืžืชื•ืงืŸ][1 ืžืชื•ืงื ื•ืช][12 ืžืชื•ืงื ืช][2 ืฉื™ืชื•ืงื ื•][4 ืฉืชื•ืงืŸ][14 ืชื•ืงืŸ][6 ืชื•ืงื ื”][7 ืชื•ืงื ื•][1 ืชืชื•ืงืŸ]
  • ื”ืฉื‘ื™ืข: [1 ื”ืฉื‘ื™ืข][1 ื”ืฉื‘ื™ืขื”][167 ื”ืฉื‘ื™ืขื™][16 ื”ืฉื‘ืข][4 ื”ืฉื‘ืขืช][1 ื”ืฉื™ื‘ืขื™ื][2 ื•ื”ืฉื‘ื™ืขื™][1 ื•ื”ืฉื‘ืขืช][1 ื•ืžืฉื‘ื™ืข][2 ืœื”ืฉื‘ื™ืข][1 ืžืœื”ืฉื‘ื™ืข][4 ืžืฉื‘ื™ืข][1 ืžืฉื‘ื™ืขื”][1 ืžืฉื‘ื™ืขื™][1 ืžืฉื‘ื™ืขืช]
  • ื™ืฉืจืืœื™: [618 ื™ืฉืจืืœื™][1 ื›"ื™ืฉืจืืœื™][1 ืœ"ื™ืฉืจืืœื™]
  • ื™ืฉื•ื‘: [2 ื‘ื™ืฉื•ื‘][1 ื‘ื™ืฉื•ื‘ื™ื][1 ื”ึทื™ึนึผืฉึฐืื‘ึดื™ื][62 ื”ื™ืฉื•ื‘][1 ื•ื‘ื™ืฉื•ื‘ื™][1 ื•ื‘ื™ืฉื•ื‘ื™ื][1 ื•ื”ื™ืฉื•ื‘][1 ื•ื™ืฉื•ื‘][3 ื•ื™ืฉื•ื‘ื”][1 ื•ื™ืฉื•ื‘ื™][2 ื™ึธืฉืื•ึผื‘][1 ื™ึนืฉึฐืื‘ึดื™ื][41 ื™ืฉื•ื‘][1 ื™ืฉื•ื‘ื”][9 ื™ืฉื•ื‘ื™][2 ื™ืฉื•ื‘ื™ื][1 ื›ื™ืฉื•ื‘][1 ืœื™ืฉื•ื‘][1 ืœื™ืฉื•ื‘ื™][1 ืžื”ื™ืฉื•ื‘ื™ื][1 ืžื™ืฉื•ื‘ื™][1 ืฉื‘ื™ืฉื•ื‘]
  • ืžืœื•ื›ืŸ: [2 ื”ืžืœื•ื›ื ื™][4 ื”ืžืœื•ื›ื ื™ื][1 ื”ืžืœื•ื›ื ื™ืช][2 ืžืœื•ื›ื ื™][2 ืžืœื•ื›ื ื™ื•ืช][2 ืžืœื•ื›ื ื™ื][1 ืžืœื•ื›ื ื™ืช][1 ืžืžืœื•ื›ื ื™ื]
  • ื ืขืœื”: [5 ื‘ื ืขืœื™][1 ื‘ื ืขืœื™ื][3 ื”ื”ื ืขืœื”][3 ื”ื ืขืœื”][1 ื•ึฐื ึทืขึฒืœึถื”][2 ื•ื”ื ืขืœื”][4 ื•ื ืขืœื™][1 ื•ื ืขืœื™ื][4 ืœื ืขืœื™][10 ื ืขืœื”][4 ื ืขืœื•ืช][23 ื ืขืœื™][5 ื ืขืœื™ื][1 ื ืขืœื™ืช][1 ืฉื ืขืœื”]
  • ืื™ืจืœื ื“: [53 ืื™ืจื™][2 ืื™ืจื™ื•ืช][5 ืื™ืจื™ื™ื][10 ืื™ืจื™ื][22 ืื™ืจื™ืช][213 ืื™ืจืœื ื“][1 ืืจืœื ื“][1 ื‘ืื™ืจื™ื][5 ื‘ืื™ืจื™ืช][44 ื‘ืื™ืจืœื ื“][4 ื‘ืืจื™ื][1 ื‘ืืจื™ืช][3 ื‘ืืจืช][46 ื”ืื™ืจื™][14 ื”ืื™ืจื™ื•ืช][4 ื”ืื™ืจื™ื™ื][11 ื”ืื™ืจื™ื][26 ื”ืื™ืจื™ืช][10 ื”ื‘ืืจื™ื][26 ื”ืžืื™ืจื™][1 ื”ืžืื™ืจื™ื][2 ื”ืžืื™ืจื™ืช][1 ื”ืžืฉืื™ืจื™ื][6 ื•ืื™ืจื™][1 ื•ืื™ืจื™ื][1 ื•ืื™ืจื™ืช][23 ื•ืื™ืจืœื ื“][4 ื•ื‘ืื™ืจืœื ื“][1 ื•ืžืื™ืจื™][2 ื•ืžืฉืื™ืจื™ื][1 ืœืื™ืจื™][1 ืœืื™ืจื™ื][12 ืœืื™ืจืœื ื“][1 ืœืืจื™ืช][5 ืžืื™ืจื™][1 ืžืื™ืจื™ื][6 ืžืื™ืจืœื ื“][8 ืžืฉืื™ืจื™ื][1 ืฉืื™ืจืœื ื“][9 ืฉื‘ืื™ืจืœื ื“][1 ืฉื”ืื™ืจื™]
  • ืืกื•ืจ: [1 ืื™ืกื•ืจื™ืŸ][71 ืืกื•ืจ][30 ืืกื•ืจื”][5 ืืกื•ืจื•ืช][1 ืืกื•ืจื™ื•][32 ืืกื•ืจื™ื][13 ื”ืืกื•ืจ][8 ื”ืืกื•ืจื”][10 ื”ืืกื•ืจื•ืช][12 ื”ืืกื•ืจื™ื][10 ื•ืืกื•ืจ][1 ื•ืืกื•ืจื”][1 ื•ืืกื•ืจื™ื][1 ื•ืœืืกื•ืจ][1 ื•ืฉืืกื•ืจ][1 ื›ืืกื•ืจื•ืช][28 ืœืืกื•ืจ][1 ืžืืกื•ืจื™ื•][16 ืฉืืกื•ืจ][3 ืฉืืกื•ืจื•ืช][3 ืฉืืกื•ืจื™ื]
  • ืฆื™ืคื™: [2 ื•ืฆื™ืคื™][30 ืฆื™ืคื™]
  • ืงืฉื™ืจื”: [8 ื‘ืงืฉื™ืจืช][5 ื”ืงืฉื™ืจื”][1 ื•ืงืฉื™ืจื”][1 ื•ืงืฉื™ืจื•ืช][6 ื•ืงืฉื™ืจืช][4 ืœืงืฉื™ืจืช][6 ืงืฉื™ืจื”][3 ืงืฉื™ืจื•ืช][7 ืงืฉื™ืจืช][1 ืงืฉื™ืจืชื•]
  • ืชืงื ื•ืŸ: [6 ื‘ืชืงื ื•ืŸ][3 ื‘ืชืงื ื•ื ื™ื][6 ื”ืชืงื ื•ืŸ][4 ื”ืชืงื ื•ื ื™ื][1 ื•ื”ืชืงื ื•ืŸ][5 ืœืชืงื ื•ืŸ][2 ืœืชืงื ื•ื ื™ื][2 ืžื”ืชืงื ื•ืŸ][1 ืžื”ืชืงื ื•ื ื™ื][19 ืชืงื ื•ืŸ]
  • ืขื™ืจ: [2 ื‘"ืขื™ืจ][1 ื‘ึฐึผืขึดื™ืจ][1 ื‘ึฐึผืขึธืจึตื™ื”ึถื][1339 ื‘ืขื™ืจ][15 ื‘ืขื™ืจื”][28 ื‘ืขื™ืจื•][2 ื‘ืขื™ืจื][2 ื‘ืขื™ืจื ื•][27 ื‘ืขืจื™][1 ื‘ืขืจื™ื”][1 ื‘ืขืจื™ื›ื™ื][104 ื‘ืขืจื™ื][3 ื‘ืขืจื›ื™ืŸ][1 ื‘ืขืจื ื™ื•][2 ื”ึธืขึดื™ืจ][16 ื”ื‘ืขื™ืจื”][2 ื”ื‘ืขื™ืจื•][5 ื”ืžืขืจื™ืš][12 ื”ืžืฉืขืจื™ื][2614 ื”ืขื™ืจ][5 ื”ืขื™ืจื”][3 ื”ืขื™ืจื•][1 ื”ืขื™ืจื™ื”][1 ื”ืขืจื™ื”][48 ื”ืขืจื™ืš][2 ื”ืขืจื™ื›ื™ื][201 ื”ืขืจื™ื][1 ื•"ืขืจื™][1 ื•"ืฉืขืจื™][1 ื•ึฐืขึธืจึตื™ื›ึถื][9 ื•ื‘ืขื™ืจ][1 ื•ื‘ืขืจื™][8 ื•ื‘ืขืจื™ื][58 ื•ื”ืขื™ืจ][2 ื•ื”ืขืจื™ืš][7 ื•ื”ืขืจื™ื][1 ื•ื›ืขื™ืจ][2 ื•ืœืขื™ืจ][1 ื•ืœืขื™ืจื™ื”][2 ื•ืœืขืจื™ื][1 ื•ืžื”ืขื™ืจ][1 ื•ืžืขื™ืจ][1 ื•ืžืขืจื™ืš][1 ื•ืžืขืจื™ื][2 ื•ืžืฉืขืจื™ื][12 ื•ืขื™ืจ][3 ื•ืขืจื™][12 ื•ืขืจื™ื][1 ื•ืฉืขืจื™][1 ื•ืฉืขืจื™ื™ื”][1 ื•ืฉืขืจื™ื™ื][3 ื•ืฉืขืจื™ื][3 ื›"ืขื™ืจ][1 ื›"ืฉืขื™ืจ][40 ื›ืขื™ืจ][2 ื›ืขืจื™][2 ื›ืฉื”ืขื™ืจ][3 ืœ"ืขื™ืจ][424 ืœืขื™ืจ][3 ืœืขื™ืจื•][7 ืœืขืจื™][36 ืœืขืจื™ื][2 ืž"ืขื™ืจ][1 ืž"ืขืจื™][1 ืžื‘ืขื™ืจ][1 ืžื‘ืขื™ืจื”][1 ืžื‘ืขืจื™ื][118 ืžื”ืขื™ืจ][15 ืžื”ืขืจื™ื][33 ืžืขื™ืจ][1 ืžืขื™ืจื•][12 ืžืขืจื™][1 ืžืขืจื™ื”][14 ืžืขืจื™ืš][5 ืžืขืจื™ื][4 ืžืฉืขืจื™][1 ืžืฉืขืจื™ื”][1 ืžืฉืขืจื™ื•][24 ืžืฉืขืจื™ื][2 ืขึดื™ืจ][1 ืขึดื™ืจึถืšึธ][1 ืขึธืจึดื™ื][2 ืขึธืจึตื™][1 ืขึธืจึธื™ื•][431 ืขื™ืจ][2 ืขื™ืจื”][14 ืขื™ืจื•][1 ืขื™ืจืš][3 ืขื™ืจื][1 ืขื™ืจืŸ][2 ืขื™ืจื ื•][93 ืขืจื™][1 ืขืจื™ื”][2 ืขืจื™ื”ื][1 ืขืจื™ื•][2 ืขืจื™ืš][2 ืขืจื™ื›ื™ื][131 ืขืจื™ื][2 ืขืจื›ื™ืŸ][1 ืฉ"ืฉืขืจื™][45 ืฉื‘ืขื™ืจ][1 ืฉื‘ืขื™ืจื•][2 ืฉื‘ืขืจื™][2 ืฉื‘ืขืจื™ื][29 ืฉื”ืขื™ืจ][4 ืฉื”ืขืจื™ื][1 ืฉืžืฉืขืจื™ื][2 ืฉืขื™ืจ][2 ืฉืขื™ืจื”][8 ืฉืขื™ืจื™][133 ืฉืขืจื™][5 ืฉืขืจื™ื”][1 ืฉืขืจื™ื”ื][16 ืฉืขืจื™ื•][7 ืฉืขืจื™ื™ื][422 ืฉืขืจื™ื]
  • ื•ืจื™ื“: [1 ื‘ื•ื•ืจื™ื“ื™ื][1 ื‘ื•ืจื™ื“ื™][1 ื‘ื•ืจื™ื“ื™ื][4 ื”ื•ื•ืจื™ื“ื™ื][11 ื”ื•ืจื™ื“][3 ื”ื•ืจื™ื“ื”][8 ื”ื•ืจื™ื“ื•][1 ื”ื•ืจื™ื“ื™ื”][1 ื”ืžื•ืจื™ื“][4 ื•ื”ื•ืจื™ื“][2 ื•ื”ื•ืจื™ื“ื•][1 ื•ื•ืจื™ื“ื™][3 ื•ืžื•ืจื™ื“][4 ื•ืจื™ื“][3 ื•ืจื™ื“ื™][1 ื•ืจื™ื“ื™ื][2 ื•ืจื™ื™ื“ืŸ][5 ื›ืœื•ืจื™ื“][3 ื›ืœื•ืจื™ื“ื™ื][1 ื›ืžื•ืจื™ื“ื™][3 ืœื•ื•ืจื™ื“][10 ืžื•ืจื™ื“][4 ืžื•ืจื™ื“ื”][4 ืžื•ืจื™ื“ื™ื][2 ืฉื”ื•ืจื™ื“][1 ืฉืžื•ืจื™ื“][1 ืฉืžื•ืจื™ื“ื™ื]
  • ื˜ืœืกืงื•ืค: [6 ื‘ื˜ืœืกืงื•ืค][6 ื”ื˜ืœืกืงื•ืค][1 ื”ื˜ืœืกืงื•ืคื™ื][1 ื•ื‘ื˜ืœืกืงื•ืค][1 ื•ื‘ื˜ืœืกืงื•ืคื™ื][1 ื•ื˜ืœืกืงื•ืค][17 ื˜ืœืกืงื•ืค][4 ื˜ืœืกืงื•ืคื™][6 ื˜ืœืกืงื•ืคื™ื][1 ืœื˜ืœืกืงื•ืค][1 ืœื˜ืœืกืงื•ืคื™ื]
  • ืฉืื˜ื•: [2 ืฉืื˜ื•][1 ืฉืื˜ื•ึน]
  • ืชื’ื•ื‘ื”: [151 ื‘ืชื’ื•ื‘ื”][7 ื‘ืชื’ื•ื‘ื•ืช][2 ื‘ืชื’ื•ื‘ื•ืชื™ื”ื][1 ื‘ืชื’ื•ื‘ื™ื•ืช][4 ื‘ืชื’ื•ื‘ืช][1 ื‘ืชื’ื•ื‘ืชื”][1 ื‘ืชื’ื•ื‘ืชื•][28 ื”ืชื’ื•ื‘ื”][16 ื”ืชื’ื•ื‘ื•ืช][10 ื•ื‘ืชื’ื•ื‘ื”][1 ื•ื‘ืชื’ื•ื‘ื•ืช][3 ื•ื”ืชื’ื•ื‘ื”][3 ื•ื”ืชื’ื•ื‘ื•ืช][1 ื•ื›ืชื’ื•ื‘ื”][2 ื•ืœืชื’ื•ื‘ื”][7 ื•ืชื’ื•ื‘ื”][5 ื•ืชื’ื•ื‘ื•ืช][1 ื•ืชื’ื•ื‘ื•ืชื™ื”ื][1 ื•ืชื’ื•ื‘ื•ืชื™ื•][2 ื•ืชื’ื•ื‘ืช][1 ื•ืชื’ื•ื‘ืชื•][38 ื›ืชื’ื•ื‘ื”][1 ื›ืชื’ื•ื‘ื•ืช][2 ื›ืชื’ื•ื‘ืช][9 ืœืชื’ื•ื‘ื”][11 ืœืชื’ื•ื‘ื•ืช][1 ืœืชื’ื•ื‘ื•ืชื™ื•][5 ืœืชื’ื•ื‘ืช][1 ืœืชื’ื•ื‘ืชื•][1 ืœืชื’ื•ื‘ืชื][5 ืžืชื’ื•ื‘ื”][1 ืžืชื’ื•ื‘ื•ืช][2 ืžืชื’ื•ื‘ืช][2 ืžืชื’ื•ื‘ืชื•][2 ืฉื‘ืชื’ื•ื‘ื”][1 ืฉื”ืชื’ื•ื‘ื”][1 ืฉืชื’ื•ื‘ื”][1 ืฉืชื’ื•ื‘ืช][67 ืชื’ื•ื‘ื”][45 ืชื’ื•ื‘ื•ืช][5 ืชื’ื•ื‘ื•ืชื™ื•][33 ืชื’ื•ื‘ืช][3 ืชื’ื•ื‘ืชื”][7 ืชื’ื•ื‘ืชื•][2 ืชื’ื•ื‘ืชื][1 ืชื’ื•ื‘ืชืŸ]
  • ืงื•ืฉื™ื”: [1 ื”ืงื•ืฉื™ื”][6 ืงื•ืฉื”][1 ืงื•ืฉื™ื”][1 ืงื•ืฉื™ืช]
  • ื—\"ืŸ: [1 ื”ื—"ืŸ][2 ื—"ืŸ]
  • ืฉื›ืœื•ืœ: [3 ื”ืฉื›ืœื•ืœื™ื][1 ื•ืฉื›ืœื•ืœ][1 ืœืฉื›ืœื•ืœ][7 ืฉื›ืœื•ืœ][7 ืฉื›ืœื•ืœื™ื][1 ืฉืฉื™ื›ืœืœื”]
  • ืงืคืฅ: [2 ื”ืงื•ืคืฅ][2 ื”ืงื•ืคืฆื™ื][9 ื”ืงื•ืคืฆืช][4 ื”ืงืคืฆื”][1 ื”ืงืคืฆืช][1 ื•ืœืงืคื•ืฅ][2 ื•ืงื•ืคืฅ][1 ื•ืงื•ืคืฆื™ื][1 ื•ืงืคืฆื”][3 ื™ืงืคื•ืฅ][11 ืœืงืคื•ืฅ][7 ืงื•ืคืฅ][5 ืงื•ืคืฆื™ื][1 ืงื•ืคืฆืช][12 ืงืคืฅ][2 ืงืคืฆื”][1 ืงืคืฆื•][1 ืงืคืฆืŸ][1 ืฉืงื•ืคืฆื™ื][2 ืฉืงืคืฅ][1 ืฉืงืคืฆื”][1 ืชืงืคื•ืฅ][1 ืชืงืคืฆื•]
  • ืœืขื•ืก: [1 ืœืœืขื•ืก][1 ืœืขื•ืกืช]
  • ื“ื™ื›ื: [1 ื‘ื“ื›ืื•][4 ื“ื™ื›ื][1 ื“ื™ื›ืื”][6 ื“ื›ืื•][3 ื”ืžื“ื›ื][1 ื”ืžื“ื›ืื•ืช][1 ื”ืžื“ื›ืื™ื][3 ื•ื“ื™ื›ื][1 ื•ื“ื™ื›ืื”][1 ื•ื”ืžื“ื›ืืช][1 ื•ืžื“ื›ื][1 ื•ืžื“ื›ืื”][1 ื•ืžื“ื›ืืช][1 ื•ื ื“ื›ื][29 ืœื“ื›ื][1 ืœื“ื›ืื”][1 ืœื“ื›ืื•][2 ืžื“ื›ื][1 ืžื“ื›ืื•][4 ืžื“ื›ืื•ืช][1 ืžื“ื›ืื™ื][1 ืžื“ื›ืืช][3 ืฉื“ื™ื›ืื”][2 ืฉื“ื™ื›ืื•][1 ืฉื“ื›ื]
  • ื›ืกืคืจ: [22 ื›ืกืคืจ][1 ื›ืกืคืจื•][2 ื›ืกืคืจื™][1 ื›ืกืคืจื™ื”][2 ื›ืกืคืจื™ื][2 ื›ืกืคืจืŸ]
  • ืžื—ื•ื›ื: [1 ืžื—ื•ื›ื][2 ืžื—ื•ื›ืžืช]
  • ืจืคื•ืจืžืช: [9 ืจืคื•ืจืžืช][1 ืฉ"ืจืคื•ืจืžืช]
  • ืžืคื•ืœืช: [1 ื‘ืžืคื•ืœืช][1 ื•ืžืคื•ืœื•ืช][1 ื•ืžืคื•ืœืช][1 ืœืžืคื•ืœื•ืช][1 ืœืžืคื•ืœืช][1 ืžืคื•ืœื•ืช][2 ืžืคื•ืœืช]
  • ืคืจื™ืžื•ื•ืจื”: [2 ื”"ืคืจื™ืžื•ื•ืจื”][1 ืคืจื™ืžื•ื•ืจื”]
  • ืคืกื’ื”: [1 ื‘"ืคืกื’ืช][1 ื‘ืคื™ืกื’ืช][2 ื‘ืคืกื’ื”][2 ื‘ืคืกื’ื•ืช][7 ื‘ืคืกื’ืช][2 ื‘ืคืกื’ืชื•][9 ื”ืคืกื’ื”][5 ื”ืคืกื’ื•ืช][2 ื•ื”ืคืกื’ื”][1 ื•ืคืกื’ื•ืช][1 ื•ืคืกื’ืช][2 ื›ืคืกื’ืช][6 ืœืคืกื’ื”][9 ืœืคืกื’ืช][1 ืœืคืกื’ืชื•][1 ืžืคื™ืกื’ืชื•][3 ืžืคืกื’ื•ืช][5 ืžืคืกื’ืช][6 ืคืกื’ื”][8 ืคืกื’ื•ืช][2 ืคืกื’ื•ืชื™ื•][32 ืคืกื’ืช][1 ืคืกื’ืชื•][1 ืฉื‘ืคืกื’ืชื•][1 ืฉืคืกื’ืชื•]
  • ื‘ื™ืกื: [2 ื‘ืกื][1 ื‘ืกืžื™ืช][1 ื‘ืกืžืš][1 ื‘ืกืžื ื™]
  • ื˜ื™ืžื•ืจ: [1 ื•ืžื˜ืžื•ืจ][2 ื˜ื™ื™ืžื•ืจ][19 ื˜ื™ืžื•ืจ][4 ืžื˜ืžื•ืจ]
  • ื’ื—ืœื™ืœื™ืช: [2 ื’ื—ืœื™ืœื™ื•ืช][1 ื”ื’ื—ืœื™ืœื™ืช]
  • ื”ืขื‘ืจื™ืช: [590 ื”ืขื‘ืจื™ืช][1 ืœ"ื”ืขื‘ืจื™ืช]
  • ื˜ื•ื‘ื™: [1 ื˜ื•ึนื‘ึดึผื™][89 ื˜ื•ื‘ื™]

Largest Groupings[edit]

These are the 5 largest groupingsโ€”and they are pretty big! The analyzed form each group shares is listed under "stem". The number of distinct words is listed under "types" and the total number of words involved is listed under "tokens". The original words and their frequencies are listed under "forms".

stem types tokens forms
ืขืœื” 232 7185 [1 ืึถืขึฑืœึถื”][3 ืืขืœื”][3 ื‘ืขื•ืœื”][1 ื‘ืขื•ืœื™][4 ื‘ืขื•ืœื™ื][1 ื‘ืขื™ืœื][174 ื‘ืขืœื”][412 ื‘ืขืœื•ืช][7 ื‘ืขืœื•ืชื•][987 ื‘ืขืœื™][25 ื‘ืขืœื™ื”][12 ื‘ืขืœื™ื”ื][5 ื‘ืขืœื™ื”ืŸ][15 ื‘ืขืœื™ื•][1 ื‘ืขืœื™ื™][19 ื‘ืขืœื™ื][1 ื”"ืขื•ืœืช][1 ื”ึถืขึธืœื™ื][39 ื”ื‘ืขืœื•ืช][60 ื”ื‘ืขืœื™ื][6 ื”ืžืขื•ืœื”][5 ื”ืžืขื•ืœื™ื][51 ื”ืžืขืœื”][5 ื”ืžืขืœื•ืช][6 ื”ืžืขืœื™ื][3 ื”ื ืขืœื”][54 ื”ืขื•ืœื”][12 ื”ืขื•ืœื•ืช][75 ื”ืขื•ืœื™ื][107 ื”ืขืœื”][50 ื”ืขืœื•][1 ื”ืขืœื™][2 ื”ืขืœื™ื”][3 ื”ืขืœื™ื™ื][35 ื”ืขืœื™ื][6 ื”ืขืœื™ืช][2 ื”ืขืœื][36 ื”ืขืœืชื”][66 ื”ืชืขืœื”][2 ื”ืชืขืœื•][1 ื•ึฐื ึทืขึฒืœึถื”][1 ื•ึฐืขึธืœึฐืชึธื”][1 ื•ึทื™ึทึผืขึฒืœื•ึผ][1 ื•ื‘ืขื•ืœื™ื][1 ื•ื‘ืขื•ืœืช][27 ื•ื‘ืขืœื”][25 ื•ื‘ืขืœื•ืช][85 ื•ื‘ืขืœื™][2 ื•ื‘ืขืœื™ื”][1 ื•ื‘ืขืœื™ื”ื][1 ื•ื‘ืขืœื™ื”ืŸ][3 ื•ื‘ืขืœื™ื•][2 ื•ื‘ืขืœื™ื][1 ื•ื”ื‘ืขืœื•ืช][4 ื•ื”ื‘ืขืœื™ื][1 ื•ื”ืžืขืœื™ื][2 ื•ื”ื ืขืœื”][1 ื•ื”ืขื•ืœื”][2 ื•ื”ืขื•ืœื™ื][16 ื•ื”ืขืœื”][4 ื•ื”ืขืœื•][2 ื•ื”ืขืœื™ื][2 ื•ื”ืขืœื][3 ื•ื”ืขืœืชื”][2 ื•ื”ืชืขืœื”][1 ื•ื™ืขืœื”][1 ื•ืœืขื•ืœื™ื][9 ื•ืœืขืœื•ืช][41 ื•ืžืขืœื”][2 ื•ืžืขืœื•ืช][1 ื•ืžืขืœื™][4 ื•ืžืขืœื™ื”][3 ื•ืžืขืœื™ื”ื][2 ื•ืžืขืœื™ื”ืŸ][7 ื•ืžืขืœื™ื•][1 ื•ืžืขืœื™ื][11 ื•ืขื•ืœื”][2 ื•ืขื•ืœื™][4 ื•ืขื•ืœื™ื][49 ื•ืขืœื”][9 ื•ืขืœื•][5 ื•ืขืœื™][25 ื•ืขืœื™ื”][13 ื•ืขืœื™ื”ื][6 ื•ืขืœื™ื”ืŸ][34 ื•ืขืœื™ื•][1 ื•ืขืœื™ื™][2 ื•ืขืœื™ื][2 ื•ืขืœื™ื ื•][1 ื•ืขืœื][30 ื•ืขืœืชื”][1 ื•ืฉืขืœื•][1 ื•ืฉืขืœื™][1 ื•ืฉืขืœื™ื”ื][2 ื•ืชืขืœื”][1 ื™ึทืขึฒืœึถื”][25 ื™ืขืœื”][7 ื™ืขืœื•][1 ื›ื‘ืขืœื”][3 ื›ื‘ืขืœื•ืช][13 ื›ื‘ืขืœื™][2 ื›ื‘ืขืœื™ื][1 ื›ืžืขื•ืœื™ื][1 ื›ืžืขืœื”][1 ื›ืขื•ืœื”][1 ื›ืขื•ืœื™ื][1 ื›ืขืœื”][2 ื›ืขืœื•ืช][1 ื›ืฉื‘ืขืœื•ืช][1 ื›ืฉื”ืขืœื”][1 ื›ืฉืžืขืœื™ื”ื][2 ื›ืฉืขื•ืœื”][1 ื›ืฉืขื•ืœื•ืช][12 ื›ืฉืขืœื”][3 ื›ืฉืขืœื•][1 ื›ืฉืขืœื™ื”][1 ื›ืฉืขืœื™ื•][1 ื›ืฉืขืœืชื”][1 ืœ"ืžืขืœื”][5 ืœืขื•ืœื”][1 ืœืขื•ืœื•ืช][5 ืœืขื•ืœื™][13 ืœืขื•ืœื™ื][5 ืœืขืœื”][134 ืœืขืœื•ืช][15 ืœืขืœื™][10 ืœืขืœื™ื”][2 ืžึทืขึฒืœึตื”][15 ืžื‘ืขืœื”][11 ืžื‘ืขืœื•ืช][29 ืžื‘ืขืœื™][2 ืžื‘ืขืœื™ื”][3 ืžื‘ืขืœื™ื”ืŸ][6 ืžื‘ืขืœื™ื•][2 ืžื”ืขื•ืœื™ื][2 ืžื”ืขืœื™ื][24 ืžืขื•ืœื”][2 ืžืขื•ืœื•ืช][2 ืžืขื•ืœื™][6 ืžืขื•ืœื™ื][158 ืžืขืœื”][1 ืžืขืœื•][161 ืžืขืœื•ืช][9 ืžืขืœื™][25 ืžืขืœื™ื”][9 ืžืขืœื™ื”ื][1 ืžืขืœื™ื”ืŸ][23 ืžืขืœื™ื•][21 ืžืขืœื™ื][2 ืžืฉืขืœื”][2 ืžืฉืขืœื™][10 ื ืขืœื”][2 ืขึฒืœึตื™ื”ึถื][3 ืขึฒืœึตื™ื›ึถื][1 ืขึฒืœื•ึผ][1 ืขึดืœึดึผื™ืช][1 ืขึถืœึถื][1 ืขึธืœึฐืชึธื”][3 ืขึธืœึตื™ื ื•ึผ][1 ืขึธืœึถื™ื”ึธ][2 ืขึธืœึถื™ืšึธ][3 ืขึธืœึธื™ื•][2 ืขึปืœึฐึผื›ึถื][1 ืขื•ึนืœึตื™][228 ืขื•ืœื”][21 ืขื•ืœื•ืช][48 ืขื•ืœื™][121 ืขื•ืœื™ื][1 ืขื•ืœืช][6 ืขื™ืœื][506 ืขืœื”][141 ืขืœื•][3 ืขืœื•ื•ื™ืช][73 ืขืœื•ืช][2 ืขืœื•ืชื”][12 ืขืœื•ืชื•][4 ืขืœื•ืชื][1 ืขืœื•ืชืŸ][196 ืขืœื™][335 ืขืœื™ื”][267 ืขืœื™ื”ื][72 ืขืœื™ื”ืŸ][765 ืขืœื™ื•][7 ืขืœื™ื™][2 ืขืœื™ื™ืš][1 ืขืœื™ื™ื][12 ืขืœื™ืš][26 ืขืœื™ื›ื][40 ืขืœื™ื][38 ืขืœื™ื ื•][15 ืขืœื™ืช][1 ืขืœื™ืชื™][1 ืขืœื›ื][5 ืขืœื][203 ืขืœืชื”][1 ืฉ"ืขืœื™ื ื•][1 ืฉึถืืขึธืœื•ึผ][12 ืฉื‘ืขืœื”][6 ืฉื‘ืขืœื•ืช][8 ืฉื‘ืขืœื™][1 ืฉื‘ืขืœื™ื”][1 ืฉื‘ืขืœื™ื”ื][1 ืฉื‘ืขืœื™ื”ืŸ][2 ืฉื‘ืขืœื™ื•][1 ืฉื‘ืขืœื™ื][2 ืฉื”ืขื•ืœื™ื][28 ืฉื”ืขืœื”][3 ืฉื™ืขืœื”][2 ืฉื™ืขืœื•][3 ืฉืžืขืœื”][6 ืฉืžืขืœื™ื”][3 ืฉืžืขืœื™ื”ื][3 ืฉืžืขืœื™ื”ืŸ][7 ืฉืžืขืœื™ื•][1 ืฉืžืขืœื™ื][1 ืฉื ืขืœื”][14 ืฉืขื•ืœื”][3 ืฉืขื•ืœื•ืช][6 ืฉืขื•ืœื™ื][51 ืฉืขืœื”][39 ืฉืขืœื•][10 ืฉืขืœื™][41 ืฉืขืœื™ื”][30 ืฉืขืœื™ื”ื][12 ืฉืขืœื™ื”ืŸ][72 ืฉืขืœื™ื•][1 ืฉืขืœื™ืš][4 ืฉืขืœื™ื ื•][40 ืฉืขืœืชื”][5 ืฉืชืขืœื”][29 ืชืขืœื”][1 ืชืขืœื™ื ื”]
ืฉื ื” 210 29646 [1 ื‘"ืžืฉื ื”][1 ื‘"ืฉื ื•ืช][2 ื‘ึดึผืฉึฐืื ึทืช][1 ื‘ึทึผืฉึธึผืื ึธื”][55 ื‘ืฉื•ื ื”][1 ื‘ืฉื•ื ื•ืช][3 ื‘ืฉื•ื ื™][394 ื‘ืฉื ื”][737 ื‘ืฉื ื•ืช][18 ื‘ืฉื ื•ืชื™ื”][2 ื‘ืฉื ื•ืชื™ื”ื][44 ื‘ืฉื ื•ืชื™ื•][2 ื‘ืฉื ื•ืชื™ื™ื”][1113 ื‘ืฉื ื™ื][8277 ื‘ืฉื ืช][6 ื‘ืฉื ืชื”][17 ื‘ืฉื ืชื•][25 ื‘ืฉื ืชื™ื™ื][4 ื‘ืฉื ืชื][3 ื”ึทืฉึธึผืื ึดื™ื][4 ื”ึทืฉึธึผืื ึธื”][59 ื”ื™ืฉื ื”][2 ื”ื›ื‘ืฉื ื™ื][10 ื”ืœืฉื•ื ื™][4 ื”ืœืฉื ื”][1 ื”ืœืฉื ืช][1 ื”ืœืฉื ืชื•][3 ื”ืžืฉื•ื ื”][1 ื”ืžืฉื•ื ื•ืช][249 ื”ืžืฉื ื”][1 ื”ืžืฉื ื•ืช][2 ื”ืžืฉื ื™ื][28 ื”ืฉื•ื ื”][5 ื”ืฉื•ื ื•ื™ื•ืช][205 ื”ืฉื•ื ื•ืช][9 ื”ืฉื•ื ื™][313 ื”ืฉื•ื ื™ื][1 ื”ืฉื™ื•ื•ื™ื•ื ื™ืช][714 ื”ืฉื ื”][1278 ื”ืฉื ื™ื][69 ื”ืฉื ืชื™][26 ื”ืฉื ืชื™ื™ื][1 ื•"ืฉื•ื ื”][1 ื•"ืฉื ื”][2 ื•ื‘ืฉื•ื ื”][12 ื•ื‘ืฉื ื”][28 ื•ื‘ืฉื ื•ืช][2 ื•ื‘ืฉื ื•ืชื™ื”][4 ื•ื‘ืฉื ื•ืชื™ื•][60 ื•ื‘ืฉื ื™ื][379 ื•ื‘ืฉื ืช][1 ื•ื‘ืฉื ืชื”][1 ื•ื‘ืฉื ืชื•][1 ื•ื‘ืฉื ืชื™ื™ื][2 ื•ื”ืœืฉื•ื ื™][2 ื•ื”ืžืฉื ื”][1 ื•ื”ืฉื•ื ื”][2 ื•ื”ืฉื•ื ื™][1 ื•ื”ืฉื•ื ื™ื][1 ื•ื”ืฉื ื”][1 ื•ื”ืฉื ืชื™ื™ื][1 ื•ื™ืฉื™ื ื”][7 ื•ื™ืฉื ื”][8 ื•ื™ืฉื ื•][1 ื•ื›ืœืฉื•ื ื”][1 ื•ื›ืžืฉื ื”][4 ื•ื›ืฉื ื”][1 ื•ื›ืฉื ืชื™ื™ื][3 ื•ืœืฉื•ื ื•ืช][1 ื•ืœืฉื ื”][10 ื•ืœืฉื ื•ืช][1 ื•ืžืฉื•ื ื•ืช][3 ื•ืžืฉื•ื ื™ื][10 ื•ืžืฉื ื”][1 ื•ืžืฉื ื•ืช][1 ื•ืžืฉื ื™ื][30 ื•ืžืฉื ืช][1 ื•ืžืฉื ืชื”][4 ื•ืžืฉื ืชื•][1 ื•ื ึดืฉึฐืื ึถื”][3 ื•ื ืฉื ื”][1 ื•ืฉื‘ืฉื ื”][1 ื•ืฉื”ืฉื ื”][5 ื•ืฉื•ื ื”][1 ื•ืฉื•ื ื•ึผืช][4 ื•ืฉื•ื ื•ืช][1 ื•ืฉื•ื ื™][11 ื•ืฉื•ื ื™ื][35 ื•ืฉื ื”][15 ื•ืฉื ื•ืช][135 ื•ืฉื ื™][6 ื•ืฉื ื™ื][1 ื•ืฉื ื™ื ื”][1 ื•ืฉื ื™ื ื•][4 ื•ืฉื ื™ืช][2 ื•ืฉื ื™ืชืŸ][6 ื•ืฉื ืช][1 ื•ืฉื ืชื•][14 ื•ืฉื ืชื™ื™ื][1 ื•ืชืฉื ื”][178 ื™ืฉื ื”][118 ื™ืฉื ื•][3 ื›"ืฉื ื”][2 ื›"ืฉื ื™][1 ื›"ืฉื ืช][2 ื›ึทึผืฉึธึผืื ึดื™ื][1 ื›ื‘ืฉื ื”][1 ื›ื‘ืฉื ื™ื][9 ื›ืžืฉื ื”][1 ื›ืฉื‘ืฉื ื”][1 ื›ืฉื‘ืฉื ื™ื][1 ื›ืฉื‘ืฉื ืช][1 ื›ืฉื‘ืฉื ืชื™ื™ื][1 ื›ืฉื•ื ื”][1 ื›ืฉื™ืฉื ื”][73 ื›ืฉื ื”][2 ื›ืฉื ื•ืช][2 ื›ืฉื ื™ื][1 ื›ืฉื ืช][44 ื›ืฉื ืชื™ื™ื][1 ื›ืฉืฉื ื”][1 ืœ"ืžืฉื ื”][2 ืœืฉื•ื ื”][12 ืœืฉื•ื ื•ืช][23 ืœืฉื•ื ื™][82 ืœืฉื ื”][167 ืœืฉื ื•ืช][1 ืœืฉื ื•ืชื™ื•][24 ืœืฉื ื™ื][393 ืœืฉื ืช][34 ืœืฉื ืชื™ื™ื][1 ืžื‘ืฉื ืช][4 ืžื”ืฉื ื”][14 ืžื”ืฉื ื™ื][6 ืžืฉื•ื ื”][5 ืžืฉื•ื ื•ืช][1 ืžืฉื•ื ื™][9 ืžืฉื•ื ื™ื][284 ืžืฉื ื”][108 ืžืฉื ื•ืช][1 ืžืฉื ื•ืชื™ื•][24 ืžืฉื ื™ื][913 ืžืฉื ืช][22 ืžืฉื ืชื•][7 ืžืฉื ืชื™ื™ื][1 ืžืฉื ืชื ื•][1 ื ืฉื ื”][1 ืฉ"ื‘ืฉื ืช][1 ืฉ"ื”ืฉื ื”][1 ืฉึฐืื ึทืช][1 ืฉึฐืื ึธืชึธื™ึดื][2 ืฉึฐืื ื•ึนืชึตื™ื ื•ึผ][2 ืฉึธืื ึดื™ื][4 ืฉึธืื ึธื”][1 ืฉื‘ืฉื•ื ื”][3 ืฉื‘ืฉื ื”][4 ืฉื‘ืฉื ื•ืช][7 ืฉื‘ืฉื ื™ื][32 ืฉื‘ืฉื ืช][1 ืฉื‘ืฉื ืชื™ื™ื][3 ืฉื”ืฉื•ื ื•ืช][1 ืฉื”ืฉื ื”][1 ืฉื•ื•ื™ื ื™ืช][432 ืฉื•ื ื”][880 ืฉื•ื ื•ืช][15 ืฉื•ื ื™][1403 ืฉื•ื ื™ื][1 ืฉื™ื•ื•ื™ื•ื ื™][2 ืฉื™ื•ื•ื™ื•ื ื™ืช][1 ืฉื™ื ืช][12 ืฉื™ืฉื ื”][6 ืฉื™ืฉื ื•][1 ืฉื›ืฉื ื”][1 ืฉืœืฉื•ื ื”][3 ืฉืžืฉื•ื ื™][2 ืฉืžืฉื ื”][1 ืฉืžืฉื ื•ืช][1 ืฉืžืฉื ืช][2208 ืฉื ื”][1 ืฉื ื•][1186 ืฉื ื•ืช][1 ืฉื ื•ืชื™][13 ืฉื ื•ืชื™ื”][41 ืฉื ื•ืชื™ื•][1 ืฉื ื•ืชื™ื™][9 ืฉื ื•ืชืŸ][2449 ืฉื ื™][1937 ืฉื ื™ื][2 ืฉื ื™ื ื•][48 ืฉื ื™ืช][250 ืฉื ื™ืชืŸ][1108 ืฉื ืช][4 ืฉื ืชื”][8 ืฉื ืชื•][68 ืฉื ืชื™][294 ืฉื ืชื™ื™ื][1 ืฉื ืชื][46 ืฉื ืชืŸ][6 ืฉื ืชื ื•][3 ืฉืฉื•ื ื”][1 ืฉืฉื•ื ื•ืช][2 ืฉืฉื•ื ื™ื][1 ืฉืฉื ื”][1 ืฉืฉื ื•ืช][2 ืฉืฉื ื™ื][1 ืฉืฉื ื™ืช][4 ืฉืฉื ืช][1 ืฉืฉื ืชื™ื™ื][1 ืฉืชืฉื ื”][8 ืชืฉื ื”]
ืฉื 185 10250 [1 ื‘ึทึผืฉื][1725 ื‘ืฉื][43 ื‘ืฉืžื”][110 ื‘ืฉืžื•][39 ื‘ืฉืžื•ืช][4 ื‘ืฉืžื•ืชื™ื”ื][1 ื‘ืฉืžื•ืชื™ื•][15 ื‘ืฉืžื™][28 ื‘ืฉืžื™ื][17 ื‘ืฉืžื][24 ื‘ืฉืžืŸ][2 ื‘ืฉืžืช][1 ื”"ืœืฉื][1 ื”"ืฉื][1 ื”ึทืฉึธึผืืžึทื™ึดื][4 ื”ึธืฉึทึผืืžึธึผื”][28 ื”ืืฉื™ื][6 ื”ื‘ืฉืžื™ื][1 ื”ื”ืฉืžื”][2 ื”ื™ืฉื™ื][5 ื”ื›ื‘ืฉื™ื][112 ื”ืžืฉื™ืžื”][51 ื”ืžืฉืžืฉื™ื][224 ื”ื ืฉื™ื][671 ื”ืฉื][2 ื”ืฉืžื”][45 ื”ืฉืžื•ืช][43 ื”ืฉืžื™ื][1 ื”ืฉืžื][17 ื”ืฉืžืŸ][3 ื”ืฉืžืช][1 ื•"ืœืฉื™ื][1 ื•"ื ืฉื™ื][1 ื•ึฐืฉึตืื][1 ื•ึผืฉึฐืืžึธื”ึผ][1 ื•ึผืฉึฐืืžื•ึน][3 ื•ื‘ืฉื][1 ื•ื‘ืฉืžื”][4 ื•ื‘ืฉืžื•][1 ื•ื‘ืฉืžื•ืช][1 ื•ื‘ืฉืžื™ื][1 ื•ื‘ืฉืžื][11 ื•ื”ืืฉื™ื][1 ื•ื”ื‘ืฉืžื™ื][3 ื•ื”ืžืฉื™ืžื”][8 ื•ื”ื ืฉื™ื][7 ื•ื”ืฉื][1 ื•ื”ืฉืžื”][1 ื•ื”ืฉืžื•ืช][2 ื•ื™ืฉื™ืžื•][3 ื•ื›ื‘ืฉื™ื][2 ื•ืœืฉื™ื][25 ื•ืœืฉื][1 ื•ืžืฉื‘ืฉื™ื][1 ื•ืžืฉื™ืžื”][88 ื•ืžืฉื][13 ื•ืžืฉืžืฉื™ื][25 ื•ื ืฉื™ื][1 ื•ืฉ"ืœืฉื][1 ื•ืฉื‘ืฉื™ื][1 ื•ืฉื”ืฉื][1 ื•ืฉื™ืžื™][1 ื•ืฉื™ืฉื™ื][302 ื•ืฉื][32 ื•ืฉืžื”][45 ื•ืฉืžื•][6 ื•ืฉืžื•ืช][1 ื•ืฉืžื•ืชื™ื”][1 ื•ืฉืžื•ืชื™ื”ืŸ][2 ื•ืฉืžื™][2 ื•ืฉืžื][8 ื•ืฉืžืŸ][2 ื•ืฉืฉื][1 ื•ืฉืฉืžื”][1 ื•ืชืฉื™ืžื•][1 ื•ืชืฉื™ืžื ื”][5 ื™ืฉื™ื][1 ื›"ืžืฉื™ืžื”][19 ื›ื‘ืฉื™ื][1 ื›ืžืฉื™ืžื”][1 ื›ืฉื”ืฉื][8 ื›ืฉื™ืฉื™ื][46 ื›ืฉื][4 ื›ืฉืžื”][10 ื›ืฉืžื•][1 ื›ืฉืžื•ืชื™ื”ื][1 ื›ืฉืžื™][1 ื›ืฉืžื][1 ื›ืฉืžืŸ][9 ื›ืฉืžืช][2 ื›ืฉืฉื][1 ื›ืฉืฉืžื™ื][48 ืœืฉื™ื][476 ืœืฉื][19 ืœืฉืžื”][31 ืœืฉืžื•][13 ืœืฉืžื•ืช][1 ืœืฉืžื•ืชื™ื”][1 ืœืฉืžื•ืชื™ื”ืŸ][10 ืœืฉืžื™ื][1 ืœืฉืžืš][1 ืœืฉืžื][6 ืœืฉืžืŸ][1 ืžื‘ืฉืžื™ื][7 ืžื”ืฉื][1 ืžื”ืฉืžื•ืช][4 ืžื”ืฉืžื™ื][1 ืžืฉื‘ืฉื™ื][1 ืžืฉื™ื][102 ืžืฉื™ืžื”][1 ืžืฉื™ืฉื™ื][172 ืžืฉื][5 ืžืฉืžื”][13 ืžืฉืžื•][5 ืžืฉืžื•ืช][1 ืžืฉืžื•ืชื™ื”ื][1 ืžืฉืžื•ืชื™ื”ืŸ][1 ืžืฉืžื™][1 ืžืฉืžื™ื][4 ืžืฉืžื][103 ืžืฉืžืฉื™ื][2 ืžืฉืžืช][483 ื ืฉื™ื][1 ืฉ"ื ืฉื™ื][4 ืฉึฐืืžื•ึน][1 ืฉึฐืืžื•ึนืช][2 ืฉึดื‚ื™ื][1 ืฉึตืื][1 ืฉึถืื][1 ืฉึทืืžึธึผื”][3 ืฉึธืื][1 ืฉึธืืžึทื™ึดื][1 ืฉึธืืžึธึผื”][2 ืฉื‚ื™ื][2 ืฉื‘ืฉื™ื][2 ืฉื‘ืฉื][1 ืฉื‘ืฉืžื”][2 ืฉื‘ืฉืžื•][3 ืฉื‘ืฉืžื™ื][1 ืฉื‘ืฉืžื][3 ืฉื”ืฉื][2 ืฉื”ืฉืžื•ืช][1 ืฉื”ืฉืžื™ื][1 ืฉื™ื™ืžืŸ][6 ืฉื™ื][2 ืฉื™ืžื”][10 ืฉื™ืžื•][12 ืฉื™ืžื™][1 ืฉื™ืžื ื”][10 ืฉื™ืฉื™ื][2 ืฉื›ื‘ืฉื™ื][1 ืฉื›ืฉืžื”][1 ืฉื›ืฉืžื•][1 ืฉืœืฉื™ื][2 ืฉืœืฉื][5 ืฉืœืฉืžื”][1 ืฉืœืฉืžืŸ][2896 ืฉื][396 ืฉืžื”][2 ืฉืžื”ึผ][731 ืฉืžื•][213 ืฉืžื•ืช][1 ืฉืžื•ืชื™ื”][20 ืฉืžื•ืชื™ื”ื][2 ืฉืžื•ืชื™ื”ืŸ][42 ืฉืžื™][33 ืฉืžื™ื][1 ืฉืžืš][52 ืฉืžื][115 ืฉืžืŸ][6 ืฉืžื ื•][1 ืฉืžืฉืžื”][4 ืฉืžืฉืžืฉื™ื][25 ืฉืžืช][1 ืฉืžืชื™][2 ืฉืžืชืŸ][7 ืฉื ืฉื™ื][32 ืฉืฉื][34 ืฉืฉืžื”][55 ืฉืฉืžื•][2 ืฉืฉืžื•ืชื™ื”ื][10 ืฉืฉืžื][1 ืฉืฉืžืŸ][1 ืฉืชืฉื™ื][4 ืชืฉื™ื]
ื™ื 184 6645 [1 ื‘"ื”ื‘ื™ืžื”][1 ื‘"ื™ืžื™][1 ื‘ึทึผื™ึทึผืžึดึผื™ื][1 ื‘ึทึผื™ึธึผืžึดื™ื][141 ื‘ื™ื][5 ื‘ื™ืžื”][341 ื‘ื™ืžื™][8 ื‘ื™ืžื™ื”][2 ื‘ื™ืžื™ื”ื][15 ื‘ื™ืžื™ื•][81 ื‘ื™ืžื™ื][70 ื‘ื™ืžื™ื ื•][2 ื‘ื™ืžื ื•][24 ื‘ื›ื™ืžื™ื”][1 ื”"ืžื™ื][1 ื”"ืžืฉืœื™ื][1 ื”ึทื™ึธึผื][2 ื”ึทืžึทึผื™ึดื][65 ื”ื‘ื™ืžื”][4 ื”ื™ื™ื][1 ื”ื™ื™ืžื”][91 ื”ื™ื™ืžืŸ][730 ื”ื™ื][10 ื”ื™ืžื”][95 ื”ื™ืžื™][2 ื”ื™ืžื™ื”][320 ื”ื™ืžื™ื][2 ื”ื™ืžืŸ][1 ื”ื™ืžื ื•][29 ื”ื›ื™ืžื™][24 ื”ื›ื™ืžื™ื”][46 ื”ื›ืœื™ื][6 ื”ื›ืฉืœื™ื][1 ื”ืœื™ืžื”][1 ื”ืž"ื›ื™ื][1 ื”ืžื™ื™ื][467 ื”ืžื™ื][17 ื”ืžื™ืžืŸ][1 ื”ืžื›ื™ื][112 ื”ืžืฉื™ืžื”][4 ื”ืžืฉื›ื™ื][1 ื”ืžืฉื›ื›ื™ื][12 ื”ืžืฉืœื™ื][4 ื”ืžืฉืœื™ืžื”][3 ื”ืžืฉืœื™ืžื™ื][1 ื•"ืžื™ืžื™][1 ื•ึฐื™ึธืžึถื™ื”ึธ][1 ื•ึผื‘ึทื™ึธึผืžึดื™ื][5 ื•ื‘ื™ื][11 ื•ื‘ื™ืžื™][1 ื•ื‘ื™ืžื™ื”][1 ื•ื‘ื™ืžื™ื•][4 ื•ื‘ื™ืžื™ื][1 ื•ื‘ื™ืžื™ื ื•][2 ื•ื”ื‘ื™ืžื”][1 ื•ื”ื™ื™ืžืŸ][14 ื•ื”ื™ื][3 ื•ื”ื™ืžื™ื][1 ื•ื”ื›ื™ืžื™][2 ื•ื”ื›ื™ืžื™ื”][7 ื•ื”ื›ืœื™ื][11 ื•ื”ืžื™ื][3 ื•ื”ืžืฉื™ืžื”][1 ื•ื™ื™ืžืŸ][11 ื•ื™ื][8 ื•ื™ืžื™][1 ื•ื™ืžื™ื”ื][5 ื•ื™ืžื™ื][2 ื•ื™ืžืŸ][2 ื•ื›ื™ืžื™ื”][14 ื•ื›ืœื™ื][2 ื•ื›ืฉืœื™ื][1 ื•ืœื™ื™ื][3 ื•ืœื™ื][2 ื•ืœื™ืžื”][30 ื•ืœื™ืžื™ื][1 ื•ืžื”ื™ื][20 ื•ืžื™ื][1 ื•ืžื™ืžื”ื][1 ื•ืžื™ืžื™ื”ื][4 ื•ืžื™ืžืŸ][3 ื•ืžื™ืžื ื•][1 ื•ืžืฉื™ืžื”][4 ื•ืžืฉืœื™ื][2 ื•ืžืฉืœื™ืžื”][6 ื•ืฉื‘ื™ื][1 ื•ืฉื™ืžื™][1 ื•ืฉืœื™ืžื™ื][5 ื™ึฐืžึตื™][1 ื™ึทืžึดึผื™][1 ื™ึธื][1 ื™ึธืžึดื™ื][1 ื™ึธืžึธึผื”][4 ื™ื™ืžื”][446 ื™ื][2 ื™ืžื”][1 ื™ืžื•][404 ื™ืžื™][19 ื™ืžื™ื”][7 ื™ืžื™ื”ื][63 ื™ืžื™ื•][747 ื™ืžื™ื][179 ื™ืžื™ื ื•][1 ื›"ืžืฉื™ืžื”][1 ื›ื‘ื™ืžื™][1 ื›ื™ื][1 ื›ื™ืžื•][36 ื›ื™ืžื™][16 ื›ื™ืžื™ื”][1 ื›ื™ืžื™ื][1 ื›ื™ืžื™ื ื•][125 ื›ืœื™ื][1 ื›ืœื™ืžื™][1 ื›ืžื™ืžื™ื][1 ื›ืฉื‘ื™ืžื™][10 ื›ืฉืœื™ื][1 ืœ"ื™ื][1 ืœ"ื™ืžื™ื][2 ืœ"ืžื™ื][4 ืœื™ื™ื][1 ืœื™ื™ืžื™ื][4 ืœื™ื™ืžืŸ][118 ืœื™ื][16 ืœื™ืžื”][13 ืœื™ืžื™][1 ืœื™ืžื™ื”][3 ืœื™ืžื™ื•][231 ืœื™ืžื™ื][7 ืœื™ืžื™ื ื•][34 ืœื›ื™ืžื™ื”][1 ืœื›ืฉืœื™ื][15 ืž"ื›ื™ื][1 ืžึดื™ึทึผื][2 ืžึทื™ึดื][1 ืžึธื™ึดื][22 ืžื”ื™ื][3 ืžื”ื™ืžื™ื][1 ืžื™ื™ืžื™][3 ืžื™ื™ืžืŸ][584 ืžื™ื][111 ืžื™ืžื™][4 ืžื™ืžื™ื”][2 ืžื™ืžื™ื”ื][13 ืžื™ืžื™ื•][1 ืžื™ืžื™ื™][2 ืžื™ืžื™ื][84 ืžื™ืžืŸ][2 ืžื™ืžื ื•][5 ืžื›"ืžื™ื][3 ืžื›ื™ื][8 ืžืœื™ื][1 ืžืฉื™ื][102 ืžืฉื™ืžื”][1 ืžืฉื›ื™ืžื™ื][31 ืžืฉืœื™ื][18 ืžืฉืœื™ืžื”][16 ืžืฉืœื™ืžื™ื][1 ืžืฉืžื™ื][2 ืฉึดื‚ื™ื][1 ืฉึธืืžึทื™ึดื][2 ืฉื‚ื™ื][12 ืฉื‘ื™ื][5 ืฉื‘ื™ืžื™][2 ืฉื‘ื™ืžื™ื•][2 ืฉื‘ื™ืžื™ื][1 ืฉื‘ื™ืžื™ื ื•][3 ืฉื”ื™ื][1 ืฉื™ื™ืžืŸ][6 ืฉื™ื][2 ืฉื™ืžื”][10 ืฉื™ืžื•][12 ืฉื™ืžื™][2 ืฉื™ืžื™ื][4 ืฉืœื™ืžื”][37 ืฉืœื™ืžื™ื][3 ืฉืžื™ื™ืžื™][1 ืฉืžื™ื™ืžื™ื][33 ืฉืžื™ื][1 ืฉืžื™ืžื™][1 ืฉืžื™ืžื™ื”ื][2 ืฉืžื™ืžืŸ][2 ืฉืžื™ืžื ื•][1 ืฉืžื›ื™ื][1 ืฉืžืฉืœื™ืžื”]
ืืœ 177 9575 [1 ืึฐืœึทื”][1 ืึฑืœึดื™][4 ืึฑืœึนื”ึดื™ื][1 ืึตืœ][1 ืึตืœึดื™ื][1 ืึตืœึถึผื”][1 ืึตืœึถื™ื”ึธ][1 ืึตืœึทื™][2 ืึตืœึธื™ื•][30 ืึถืœ][1 ืึถืœึฐื™ึธื”][2 ืึทืœ][11 ืื™ื™ืœื™ืŸ][10 ืื™ืœื™ื™ืŸ][1 ืื™ืœื™ืŸ][3213 ืืœ][1253 ืืœื”][5 ืืœื”ื™ื][1 ืืœื”ืŸ][1355 ืืœื•][288 ืืœื™][324 ืืœื™ื”][175 ืืœื™ื”ื][29 ืืœื™ื”ืŸ][512 ืืœื™ื•][6 ืืœื™ื™][2 ืืœื™ื™ื”][5 ืืœื™ื™ืš][4 ืืœื™ืš][1 ืืœื™ื›ื][57 ืืœื™ื][6 ืืœื™ื ื•][3 ืืœืš][3 ืืœื›ื™ืŸ][8 ืืœื][152 ืืœืŸ][4 ื‘"ืืœ][2 ื‘"ืฉืืœื”][65 ื‘ืืœ][19 ื‘ืืœื”][1 ื‘ืืœื”ื™ื][12 ื‘ืืœื•][7 ื‘ืืœื™][1 ื‘ืืœื™ื”][1 ื‘ืืœื™ื›ื™ืŸ][1 ื‘ืืœื™ื][1 ื‘ืืœื™ืŸ][1 ื‘ื›ืืœื•][1 ื”"ืฉืžืืœื™][2 ื”ึธืึตืœึถึผื”][1 ื”ืึทืœื”][238 ื”ืืœ][138 ื”ืืœื”][2 ื”ืืœื”ื™ื][43 ื”ืืœื•][4 ื”ืืœื™][68 ื”ืืœื™ื][2 ื”ืืœื][1 ื”ื‘ืืœ][1 ื”ืžืืœื™ื][1 ื”ืžืฉืืœ][1 ื”ืžืฉืืœื”][5 ื•"ืืœ][1 ื•"ืฉืžืืœ][2 ื•ึฐืึตืœึถึผื”][1 ื•ึฐืึถืœ][2 ื•ืื™ืœื™ื™ืŸ][86 ื•ืืœ][65 ื•ืืœื”][51 ื•ืืœื•][34 ื•ืืœื™][3 ื•ืืœื™ื”][4 ื•ืืœื™ื”ื][3 ื•ืืœื™ื”ืŸ][7 ื•ืืœื™ื•][1 ื•ืืœื™ื™][1 ื•ืืœื™ื][1 ื•ืืœืš][13 ื•ืืœืŸ][2 ื•ื‘ืืœ][1 ื•ื‘ืืœื•][1 ื•ื‘ื›ืืœื•][3 ื•ื”ืืœ][2 ื•ื”ืืœื”][2 ื•ื”ืืœื™ื][4 ื•ื›ืืœื”][2 ื•ื›ืืœื•][1 ื•ื›ื›ืืœื”][2 ื•ื›ืฉืืœื•][2 ื•ืœืืœ][2 ื•ืœืืœื”][2 ื•ืœืืœื•][1 ื•ืœืืœื™ื][1 ื•ืœืืœืŸ][1 ื•ืœื›ืืœื”][1 ื•ืžืืœ][2 ื•ืžืืœื”][1 ื•ืžืืœื™][2 ื•ืžืฉืžืืœ][5 ื•ืฉืืœ][1 ื•ืฉืืœื”][4 ื•ืฉืืœื•][7 ื•ืฉืžืืœ][3 ื•ืฉืžืืœื”][2 ื•ืฉืžืืœื™][1 ื›"ืืœ][1 ื›"ื”ืืœ][65 ื›ืืœ][140 ื›ืืœื”][99 ื›ืืœื•][3 ื›ืืœื™ื][7 ื›ื›ืืœื”][2 ื›ื›ืืœื•][7 ื›ืžืืœ][2 ื›ืฉืืœื”][1 ื›ืฉืืœื™][1 ื›ืฉืืœื™ื”][1 ื›ืฉืืœื™ื”ื][1 ืœ"ืืœ][51 ืœืืœ][51 ืœืืœื”][1 ืœืืœื”ื™ื][46 ืœืืœื•][8 ืœืืœื™][2 ืœืืœื™ื™ืŸ][9 ืœืืœื™ื][1 ืœืืœื™ืŸ][1 ืœืืœืŸ][1 ืœื›ืืœื”][3 ืœื›ืืœื•][1 ืž"ืืœื•][1 ืžึดืฉึฐืืึธืœ][2 ืžึตืึตืœึธื™ื•][15 ืžืืœ][31 ืžืืœื”][29 ืžืืœื•][43 ืžืืœื™][4 ืžืืœื™ื”][3 ืžืืœื™ื”ื][1 ืžืืœื™ื”ืŸ][11 ืžืืœื™ื•][1 ืžืืœื™ื][5 ืžืืœื™ืŸ][1 ืžืืœื›ื™ืŸ][1 ืžืืœื][1 ืžืืœืŸ][7 ืžื”ืืœ][1 ืžื”ืืœื™ื][1 ืžื›ืืœื”][40 ืžืฉืืœ][6 ืžืฉืืœื”][11 ืžืฉืืœื™][32 ืžืฉืžืืœ][1 ืžืฉืžืืœื•][1 ืžืฉืžืืœื][1 ืฉ"ืืœื”][1 ืฉ"ืฉืืœ][41 ืฉืืœ][70 ืฉืืœื”][29 ืฉืืœื•][4 ืฉืืœื™][29 ืฉืืœื™ื”][10 ืฉืืœื™ื”ื][8 ืฉืืœื™ื”ืŸ][34 ืฉืืœื™ื•][1 ืฉื‘ืืœื™ืŸ][10 ืฉื”ืืœ][2 ืฉื”ืืœื™ื][14 ืฉื›ืืœื”][6 ืฉื›ืืœื•][101 ืฉืžืืœ][10 ืฉืžืืœื”][2 ืฉืžืืœื•][18 ืฉืžืืœื™][2 ืฉืžืืœื™ื™ื”][1 ืฉืžืฉืžืืœ][1 ืฉืžืฉืžืืœื•]

Random Analyzed Terms[edit]

Here is a sample of 50 random analyzed terms. The bold term is the original word, the second column has the frequency of the term in the corpus, and the last column lists out all the analyzed terms generated by HebMorph.

ื•ื”ืชืจื’ืœื• 2 ื”ืชืจื’ืœ | ื•ื”ืชืจื’ืœื• | ืจื™ื’ืœ | ืชืจื’ืœ
ื•ืœืžื“ื™ื ื•ืช 7 ื•ืœืžื“ื™ื ื•ืช | ืžื“ื™ื ื”
ื‘ืขื™ื™ืชื™ื 1 ื‘ืขื™ื™ืชื™ | ื‘ืขื™ื™ืชื™ื
ื”ืชื ื™ื” 1 ื”ืชื ื™ื” | ืชืŸ
ืžืจื›ื•ืœืช 1 ืžืจื›ื•ืœืช
ืœืกื•ื‘ื‘ 11 ืœืกื•ื‘ื‘ | ืกื‘ื‘ | ืกื•ื‘ื‘
ื•ืฆื™ 7 ื•ืฆื™ | ืฆื™
ื‘ืกื›ืจ 6 ื‘ืกื›ืจ | ืกื›ืจ
ื‘ื”ื•ื“ืขื•ืช 4 ื‘ื”ื•ื“ืขื•ืช | ื”ื•ื“ืขื”
ืœื–ืจืŸ 2 ื–ืจ | ืœื–ืจืŸ
ืชื ื•ื“ืชื™ 1 ืชื ื•ื“ื” | ืชื ื•ื“ืชื™
ืœื–ื•ื’ื•ืช 15 ื–ื•ื’ | ืœื–ื•ื’ื•ืช
ื‘ื”ื•ื˜ืŸ 1 ื‘ื”ื•ื˜ืŸ
ืคืจื•ื˜ื” 9 ืคืจื•ื˜ | ืคืจื•ื˜ื”
ื•ืกื˜ื™ื ื’ 1 ื•ืกื˜ื™ื ื’
ืœืืกืคืงื” 1 ืืกืคืงื” | ืœืืกืคืงื”
ื”ื’ื•ืคืจื™ืช 9 ื’ื•ืคืจ | ื”ื’ื•ืคืจื™ืช
ืืœืกื ื“ืจื” 1 ืืœืกื ื“ืจื”
ืฉืงื™ื‘ืฅ 2 ืงื™ื‘ืฅ | ืฉืงื™ื‘ืฅ
ื”ื–ื›ืจื™ 3 ื”ื–ื›ืจื™ | ื–ื›ืจ | ื–ื›ืจื™
ืกืžื“ื™"ื 1 ืกืžื“ื™\"ื
ืคื•ืจื—ื•ืช 2 ืคื•ืจื—ื•ืช | ืคืจื—
ืฉืžื™ืงื•ืžื” 1 ื™ืงื•ื | ืžื™ืงื•ื | ืฉืžื™ืงื•ืžื”
ื•ื›ื•ืคืชืื•ืช 1 ื•ื›ื•ืคืชืื•ืช | ื›ื•ืคืชื”
ืžื”ื™ืื‘ืงื•ืช 1 ื”ื™ืื‘ืงื•ืช | ืžื”ื™ืื‘ืงื•ืช
ื”ื›ืชื 5 ื”ื›ืชื™ื | ื”ื›ืชื | ื›ืช | ื›ืชื | ืชื
ื”ื—ืžื“ื ื™ืช 1 ื”ื—ืžื“ื ื™ืช | ื—ืžื“ืŸ | ื—ืžื“ื ื™
ืœืื•ืœื™ืื ื•ื‘ืกืง 1 ืœืื•ืœื™ืื ื•ื‘ืกืง
ื•ืœื ืคืฅ 1 ื•ืœื ืคืฅ | ื ื™ืคืฅ | ื ืคืฅ
ืชืฉืก"ื— 35 ืชืฉืก\"ื—
ืžื ื“ืœืก 1 ืžื ื“ืœืก
ื‘ื˜ื•ื˜ื ื•ื•ื™ืœ 1 ื‘ื˜ื•ื˜ื ื•ื•ื™ืœ
ืฉื™ืกืชื›ืœ 1 ื”ืกืชื›ืœ | ืฉื™ืกืชื›ืœ
ืคื“ื’ื•ื’ื™ื” 7 ืคื“ื’ื•ื’ื™ื”
ืฉื™ื™ืจืื• 2 ื™ืจื | ื ืจืื” | ืฉื™ื™ืจืื•
ืœืฉื ื™ื ื•ืชื” 1 ืœืฉื ื™ื ื•ืชื” | ืฉื ื™ื ื•ืช
ื”ืืฆืช 4 ืืฅ | ืืฆื” | ื”ืื™ืฅ | ื”ืืฆื” | ื”ืืฆืช
ืกื•ืžืœื™ืœื ื“ 9 ืกื•ืžืœื™ืœื ื“
ื•"Vitamin 1 vitamin
ืื™ื ื•ืกื™ืœื™ืงื˜ื™ื 1 ืื™ื ื•ืกื™ืœื™ืงื˜ื™ื
ืฉืฉื•ืŸ 54 ืฉืฉื•ืŸ
ื”ืžืจื•ืฅ 62 ื”ืžืจื•ืฅ | ืžืจื•ืฅ | ืจืฅ
ื”ื•ืื˜ื” 6 ื”ื•ืื˜ | ื”ื•ืื˜ื”
ืคืขื™ืžื•ืช 17 ืคืขื™ืžื” | ืคืขื™ืžื•ืช
ืืœื—ืื’' 1 ืืœื—ืื’'
ื–ื™ื™ื“ 9 ื–ื“ | ื–ื™ื™ื“
ื›ื™ื›ืจื•ืช 7 ื›ื™ื›ืจ | ื›ื™ื›ืจื•ืช
ืœืฉื•ื‘ื” 1 ืœืฉื•ื‘ื” | ืฉื‘ื” | ืฉื•ื‘ | ืฉื•ื‘ื”
ื”ื™ืฆ'ืงื•ืง 6 ื”ื™ืฆ'ืงื•ืง
ืงื“ื—ื•ืช 1 ืงื“ื—ื•ืช | ืงื“ื—ืช

Largest Number of Analyzed Terms[edit]

Here are the forms with the most analyzed terms. Note that they are all fairly rareโ€”all but one only occurring once or twice in the corpus.

ืืžื™ื ื™ื•ืช 1 ืื•ืžื ื•ืช | ืื•ืžื ื™ืช | ืื•ืžื ืช | ืื™ืžื•ื ื™ืช | ืืžื•ืŸ | ืืžื•ื ื” | ืืžื™ืŸ | ืืžื™ื ื•ืช | ืืžื™ื ื™ื•ืช | ืืžื ื” | ืืžื ื•ืช | ืืžื ื™ืช
ืืคื™ื ื™ื” 1 ืื•ืคื™ื™ืŸ | ืื•ืคืŸ | ืืคื” | ืืคื•ืŸ | ืืคื•ื ื” | ืืคื™ื™ืŸ | ืืคื™ื ื™ื” | ืืคื ื” | ื”ื•ืคื ื” | ื”ืคื ื” | ื ืคื ื” | ืคื•ื ื” | ืคื™ื ื” | ืคื ื”
ื”ืื™ืžื™ื ื™ืช 1 ืื•ืžืŸ | ืื•ืžื ื™ืช | ืื•ืžื ืช | ืื™ืžื•ื ื™ืช | ืื™ืžืŸ | ืืžื•ืŸ | ืืžื•ื ื” | ืืžื™ืŸ | ืืžื ื” | ืืžื ื™ืช | ื”ืื™ืžื™ื ื™ืช | ื”ืืžื™ืŸ | ื”ืืžื ื”
ื”ืื™ืžืจื” 2 ืื•ืžืจ | ืืžื•ืจ | ืืžื™ืจ | ืืžื™ืจื” | ืืžืจ | ืืžืจื” | ื”ืื™ืžืจื” | ื”ืืžื™ืจ | ื”ืืžืจื” | ื”ื•ืืžืจ | ื”ืžืจื” | ื ืืžืจ
ื”ืืžื™ื ื™ื•ืช 1 ืื•ืžื ื•ืช | ืื•ืžื ื™ืช | ืื•ืžื ืช | ืื™ืžื•ื ื™ืช | ืืžื•ืŸ | ืืžื•ื ื” | ืืžื™ืŸ | ืืžื™ื ื•ืช | ืืžื ื” | ืืžื ื•ืช | ืืžื ื™ืช | ื”ืืžื™ื ื™ื•ืช | ื”ืืžื ื” | ื”ื™ืืžื ื•ืช
ื”ื—ื™ืชื™ื 1 ื”ื•ื—ื™ื” | ื”ื•ื—ืชื | ื”ื—ื™ื” | ื”ื—ื™ืชื™ื | ื”ื—ืชื™ื | ื—ื•ืชื | ื—ื™ | ื—ื™ื” | ื—ื™ื™ื” | ื—ื™ื™ืชื™ | ื—ืชื | ื ื—ืชื
ื”ื›ื ื™ืกื™ื” 1 ื”ื•ื›ื ืก | ื”ื›ื ื™ืก | ื”ื›ื ื™ืกื™ื” | ื”ื›ื ืกื” | ื›ื•ื ืก | ื›ื™ื ื•ืก | ื›ื™ื ืก | ื›ื ื•ืก | ื›ื ื™ืกื” | ื›ื ืก | ื›ื ืกื™ื™ื” | ื ื›ื ืก | ื ืก
ื”ืœื™ื—ืžื” 1 ื”ื•ืœื—ื | ื”ืœื—ื™ื | ื”ืœื—ื | ื”ืœื—ืžื” | ื”ืœื™ื—ืžื” | ื™ื™ื—ื•ื | ืœื•ื—ื | ืœื—ื•ื | ืœื—ื™ืžื” | ืœื—ื | ืœื—ืžื” | ื ืœื—ื
ื”ืžื’ื™ื ื™ื 22 ื’ื•ื•ืŸ | ื’ื•ื ื” | ื’ื•ื ื™ | ื’ื™ื ื” | ื’ืŸ | ื”ื’ืŸ | ื”ื•ื’ืŸ | ื”ืžื’ื•ืŸ | ื”ืžื’ื™ื ื™ื | ื”ืžื’ืŸ | ืžื’ืŸ | ืžื™ื’ื•ืŸ
ื”ืงื™ื“ืžื™ืช 2 ื”ื•ืงื“ื | ื”ืงื“ื™ื | ื”ืงื“ืžื” | ื”ืงื™ื“ืžื™ืช | ืงื“ื•ื | ืงื“ื™ืžื” | ืงื“ื | ืงื“ืžื” | ืงื“ืžื™ | ืงื•ื“ื | ืงื•ื“ืžืช | ืงื™ื“ื•ืžืช | ืงื™ื“ื
ื•ืžืฉื™ื‘ื 1 ื”ื•ืฉื‘ | ื”ื•ืฉื™ื‘ | ื”ืฉื™ื‘ | ื•ืžืฉื™ื‘ื | ื™ื™ื‘ื | ืžื•ืฉื‘ | ืžืฉื‘ | ืžืฉื•ื‘ | ืฉื‘ | ืฉื‘ื” | ืฉื•ื‘ | ืฉื•ื‘ื”
ืœื‘ื™ื ื™ื” 1 ื‘ื•ื ื” | ื‘ื™ืŸ | ื‘ื™ื ื” | ื‘ืŸ | ื‘ื ื” | ื‘ื ื™ื™ื” | ืœื‘ื™ื ื™ื” | ืœื‘ืŸ | ืœื‘ื ื” | ืœื‘ื ื™ื™ื” | ืœื•ื‘ืŸ | ืœื™ื‘ื•ืŸ | ืœื™ื‘ืŸ
ืœืžื™ืฉืจืช 1 ื”ื•ืฉืจ | ื”ื•ืฉืจื” | ื”ื™ืฉื™ืจ | ื”ืฉื™ืจ | ื”ืฉืจื” | ื™ื™ืฉืจ | ืœืžื™ืฉืจืช | ืžื™ืฉื•ืจื™ | ืžืฉื•ืจื” | ืžืฉืจื” | ืžืฉืจืช | ืฉื™ืจืช
ืžืกื™ื›ื™ื 1 ื”ื•ืกื›ื | ื”ืกื›ื™ื | ืžื•ืกืš | ืžื™ืกื•ืš | ืžื™ืกืš | ืžืก | ืžืกื•ืš | ืžืกื™ื›ื™ื | ืžืกืš | ืกื•ื›ื | ืกื™ื›ื | ืกืš | ืกื›ื
ืžืขืจื™ื›ื™ื•ืช 1 ื”ื•ืขืจืš | ื”ืขืจื™ืš | ืžืขืจื™ื›ื™ื•ืช | ืžืขืจื›ื” | ืžืขืจื›ืช | ืขื•ืจื›ืช | ืขืจื•ืš | ืขืจื™ื›ื” | ืขืจืš | ืขืจื›ื” | ืขืจื›ื™ | ืขืจื›ื™ื•ืช
ืฉืื™ืคื™ื™ื ื” 2 ืื•ืคื™ื™ืŸ | ืื•ืคืŸ | ืืคื•ืŸ | ืืคื•ื ื” | ืืคื™ื™ืŸ | ืืคื ื” | ื”ื•ืคื ื” | ื”ืคื ื” | ื ืคื ื” | ืคื•ื ื” | ืคื™ื ื” | ืคื ื” | ืฉืื™ืคื™ื™ื ื” | ืฉืืฃ

Live Demo[edit]

There's a live demo of Hebrew Wikipedia with unpacked Hebmorph (with ICU folding) in labs.

Note that it contains the index of Hebrew Wikipedia, so it can show results and snippets, but all the links are red and none of the pages are available in labs.