Navigating Nabokov: A Companion Glossary for “Lolita” | April 08 2026, 11:24

I have finally finished the book The Reader’s Glossary – essentially a 5200-word dictionary for “Lolita” by Nabokov, but organized not alphabetically, like regular dictionaries, but in order of the occurrence of complex words, divided by chapters and indicating the context of the word or phrase. The website – readersglossary dot com (see the first comment). It is expected to be used, among other things, as a companion book while reading the original. Yes, it’s twice as thick 🙂

The dictionary turned out quite thick – 600-700 pages. It is available in four languages – Russian, English, French, and German. Moreover, the translations (RU, FR, DE) or clarifications (in ENG) are not abstract but contextual, taking into account how Nabokov himself translated the fragment from English (“Lolita” was first written in English, then translated into Russian).

On my website, there are huge fragments of these dictionaries RU, FR, DE, EN available for review (each about 1/3 of the total volume).

There is also a full-fledged interactive dictionary on the site, where you can enter a word and see its translation or explanation. The dictionary mainly contains complex words, but we know that complexity has its own definition for everyone, so all words are divided into three categories and highlighted with different frames. Probably for a well-read Anglophone, the first category (dotted) is completely useless (about 50% of the dictionary), for the less-read, maybe 20% are useless. But I decided not to cut it further, because the book is not only for Anglophones but also for those for whom English is a second language, and there those dotted frames are very handy.

Overall, I did this “for myself and friends,” just for fun, not as a commercial project. Therefore, I am quite sober in understanding that it has a super niche audience, and if even once a week someone finds it useful, it’s already nice.

Although it was something like a hobby, the book took a lot of time. To achieve what I did, I developed a dozen applications/scripts, a couple of which have their own interactive UI, in which I spent many hours over two months of work. And of course, I learned a lot in the process, which is actually the main fun of it.

So, come to the website – readersglossary dot com. Link in the comments

P.S. In Russian – only as a PDF for now. Amazon doesn’t allow selling books in Russian, only in a small number of European languages in addition to English. The French and German versions of the dictionary will be released on Amazon about a week from now.

Navigating the Lexical Complexity of Nabokov’s “Lolita” | April 02 2026, 15:56

I’ve finished the first version of a dictionary-style book on Nabokov’s “Lolita”. The chart shows how the complexity of vocabulary is distributed across the pages of the book. The lower chart averages 25 sentences, displaying the number of complex words on the vertical axis, with colors indicating their complexity/rarity (purple – the most complex, red – less complex, yellow – even less so). But I have already removed two levels, and overall, for a foreigner, all five levels are challenging. In the book, level 3 is marked with a dashed line, level 4 with a simple frame, and level 5 with a double frame. Currently, there are 5794 words, of which 541 are fifth level, 1070 are fourth, 1883 are third, 1393 are second, and 54 are first (the simplest ones). Considering that the first version ended up being 1148 pages, the dictionary will need to be significantly streamlined by removing what can be dispensed with. This mainly pertains to the first and second levels, and some from the third and fourth. The rarity of words is calculated in three ways: through LLM, and through two lists of word frequencies in the English language corpus (300K words).

Not all words are complex. For instance, in the sentence “With the ebb of lust, an ashen sense of awfulness, abetted by the realistic drabness of a gray neuralgic day, crept over me and hummed within my temples.” someone well-acquainted with English might not know the words ebb, abet, drabness, while everything else is familiar, but lower the requirements for the reader, and the dictionary might not be very useful for such cases.

Or consider the sentence:

Homo pollex of science, with all its many sub-species and forms; the modest soldier, spic and span, quietly waiting, quietly conscious of khaki’s viatric appeal; the schoolboy wishing to go two blocks; the killer wishing to go two thousand miles; the mysterious, nervous, elderly gent, with brand-new suitcase and clipped mustache; a trio of optimistic Mexicans; the college student displaying the grime of vacational outdoor work as proudly as the name of the famous college arching across the front of his sweatshirt; the desperate lady whose battery has just died on her; the clean-cut, glossy-haired, shifty-eyed, white-faced young beasts in loud shirts and coats, vigorously, almost priapically thrusting out tense thumbs to tempt lone women or sadsack salesmen with fancy cravings.

My browser even highlights four words here.

I have definitions of words in English, German, French, and Russian. I’ve encountered the issue that different words from the text are considered complex in different languages, yet they are unified for me. So, I’ll have to mark, for example, French words in the English text separately, so they are not included in the French version, since there, the reader knows, for instance, what quel mot means.

Overall, this weekend I’ll be manually removing about half, and then I can make the cover and list it on Amazon.

Exploring the Multifaceted Uses of “Oblong” in English and Russian | March 17 2026, 13:50

Sometimes in English, there are very unusual words that are very difficult to translate into Russian. Here, for example, is the word oblong. As an adjective, it translates as “elongated, oblong,” but in the book, both uses are nouns. Often oblong refers to a face – that is, close to an oval, but oblong is a broader concept that describes any figure having an elongated appearance. My mom bought an oblong tablecloth for her new table.

As a noun, it is also used, and quite frequently (though less so than as an adjective). As a noun, oblong means “a rectangular object or flat figure with unequal adjacent sides.” Rulers are considered elongated items (oblongs). Laptops, tablets, and flat-screen TVs are oblongs of different sizes. A rectangle can be defined as oblong; however, not all elongated figures are rectangles. The same face, for example. Additionally, in mathematics, an oblong number is what in Russian is called a rectangular number (the product of two consecutive numbers. For example, 12). In general, it’s utterly baffling.

The word has been alive since the 15th century, by the way. So, in my book, it appears twice, and both times as nouns. In the first case, Nabokov translated it as “corner,” and in the second – “a small oblong of smooth silver” as “a little piece.”

Exploring Multilingual Vocabulary in Nabokov’s Works with Apple Books | March 15 2026, 23:20

Man, it’s really convenient. Just sitting here reading.

The usage pattern is as follows: I hold the phone in my hands. There, in apple books, this and that book. You see an unfamiliar word – it will likely be in the word list of the chapter. The definition takes into account the translation by Nabokov himself. Then you look a couple words ahead, put the phone down, continue reading. You encounter those words, and they are still in your short-term memory, and hooray, you understand. During a break, you load the next couple of words into your brain. You have to hold the phone and flip through, each page contains 4-5 definitions.

Now, every word has definitions in English (interpretation), French, and German. Consequently, I can publish four books.

Overall, my level of English matches what my app predicts about which words will be challenging. But someday I’ll need the same for French, and it will require an assessment of the difficulty level for each word because even some basic words will be unclear to me. I’m not sure that a book with basic words will be handy. With rare ones – definitely handy.

Crafting Nabokov’s Dictionary: A Multilingual Lexical Journey | March 15 2026, 18:30

I’m reading Nabokov and decided to take a break to create a convenient app “Nabokov’s Dictionary” and am considering selling it on Amazon as a book. Essentially, it looks like this (see screenshot) – definitions of complex words in English, Russian, German, and French, in the same order they appear in the original book.

Would you buy such a book?

To accurately make their definitions, I also wrote an aligner – a program that matches sentences and paragraphs in English with their translations (Nabokovian) into Russian. And when a word’s definition is created, it uses not only the knowledge of LLM but also the Russian translation by the author. It’s worth separately discussing how the algorithm works (I invented it myself because everything I found online did not work as I needed). It first finds long sentences and matches the longest sentences with their pair through cosine similarity of embedding vectors created through the multilingual e5 model. These sentences become anchors. Then, assuming that for long sentences the error is almost excluded, the longest sentence between anchors is found, and everything repeats recursively. There are many situations where a sentence in Russian has no equivalent in English and vice versa, where a sentence is split into two, or conversely two are merged into one. The algorithm handles this as best as it can. The result is quite a good quality of alignment. To such an extent, that errors in alignment can hardly be found (but they are likely still there). Either way, it is only needed for the context for translating words, even if there are rare errors, it’s not a big deal.

Would you buy such a book?

Exploring English: Verbs, Misunderstandings, and Learning Through Contrast | March 06 2026, 23:57

About the English language. When Yuki sees another dog, he adorably places his chin on the ground and presses his paws to his face, but I have to tell him every time not to approach because once he lets them get closer, he suddenly starts growling and instigating a fight. And what verb would you choose for that?

Well, from school I knew that roar meant growl. And I even told everyone “roar” for the first week until I googled it and realized that in roar, it’s tigers, lions, and motorcycles, but for dogs, it’s growl or even snarl (with teeth showing).

Or take the phrase “cook food.” To cook comes to mind, but actually, to cook implies thermal processing (fire, stove). If you’re “cooking” a salad, tea, or a sandwich, a native speaker would say make. Saying “I’m cooking salad” is like you decided to boil it.

Or suppose you decided to watch a movie. In English, the choice of verb depends on where you are and how large the screen is. When you go to the cinema, you use the verb see. “Let’s go see the new Dune movie at the cinema.” If you say “I watched a movie at the cinema,” they’ll understand, but it sounds a bit technical, as if you were sitting there closely studying the screen like a security guard monitoring it.

But. When you turn on your television, laptop, or projector in your living room, watch comes into play. The verb watch implies extended attention to something on a smaller (relative to theater) screen. By the way, if the screen is off, you look at it (as an item). Once you turn it on and a picture appears, you start to watch it.

Generally, for an advanced level, it makes sense to attach each concept to a scale, to remember the words in shades of intensity. For example,

Cry -> Weep -> Sob.

Annoyed -> Irritated -> Angry -> Furious -> Livid.

Smile -> Chuckle -> Laugh -> Giggle -> Guffaw

Spitting -> Drizzling -> Raining -> Pouring

and so on.

And then further distinguish them by paired opposites, like the smile-cry from the example above.

It’s very easy to remember when put together.

But it’s necessary to try to apply them, otherwise it’s no good. Some words may be bookish, and here it’s important in what context it is said. If you told a friend in a pub: “I cannot comprehend this beer” – it would sound as if you’re writing a dissertation on that beer

Navigating the Confusion of Ergative Verbs in English | January 27 2026, 00:52

In English, ergative verbs cause me significant cognitive confusion. These are verbs that can be used in both directions: written, people change can be translated as “people change” and “people change themselves”.

For example, on the screenshot right now “illustrator will install next”. Somehow not will be installed next.

Or the sentence “she photographs well” is understood as “she is photogenic”.

“The book sold 1mln copies”, obviously not about the book’s ability to sell.

US Visa Freeze for 75 Countries Amid Public Charge Concerns | January 14 2026, 15:23

If Fox News is to be believed, the US State Department is indefinitely suspending the processing of all types of visas for citizens of 75 countries, including Russia. Supposedly these measures will come into effect on January 21, 2026, and will remain in force until the department completes a full reassessment of verification procedures. It is stated that exceptions to this rule will be extremely rare and possible only after a thorough completion of all checks.

The reason is the aim to tighten the fight against “potential burdens on the American social security system”. Consular officers must deny visas to those who may become a “public charge”. Age, health status, English language proficiency, and financial situation are among the criteria.

P.S. Curious why there are so many chairs. Ten minutes ago, I sent Nadya a message on iMessage (!) “let’s buy a chair for mom on Ozone” after discussing chairs with mom on Signal. It seems like iMessage has not been known for leaking topics. Before this, I had no interest in chairs at all for many many years. Either advertising networks adapted quickly or it’s such a coincidence, I don’t know.

Harnessing GPU Power Beyond Machine Learning: A Data Processing Experiment | December 13 2025, 01:16

Torturing my supercomputer. Illustration that the GPU is not just for machine learning and some complex math.

My script takes a thick English dictionary (Webster) and multiplies it by 30, creating a list of 12 million words. Then, the algorithm looks through all 12 million words and replaces all the vowels with asterisks using regex. To add more load, a “word length” column is added, and then we take words longer than 10 letters and find the most frequent (top 5).

So, in Python this is

df[‘masked’] = df[‘text’].str.replace(r'[aeiou]’, ‘*’, regex=True)

df[‘len’] = df[‘masked’].str.len()

res = df[df[‘len’] > 10][‘masked’].value_counts().head(5)

and this code is executed first through the main processor, then through a GPU.

The main processor (I have the top-tier Intel i9 285k) completes this task in 24 seconds, while the Nvidia RTX 5090 does it in 0.51 seconds. That’s a 46 times difference!

[Pandas CPU] Top Patterns:

masked

s*r w. sc*tt. 23280

s*r t. br*wn*. 23220

j*r. t*yl*r. 16140

bl*ckst*n*. 10860

b***. & fl. 10830

Name: count, dtype: int64

[Pandas CPU] Computation Time: 23.5596 sec.

Transferring data to GPU…

Transfer complete in 1.16s

— Running Benchmark: cuDF GPU —

[cuDF GPU] Top Patterns:

masked

s*r w. sc*tt. 23280

s*r t. br*wn*. 23220

j*r. t*yl*r. 16140

bl*ckst*n*. 10860

b***. & fl. 10830

Name: count, dtype: int64

[cuDF GPU] Computation Time: 0.5108 sec.

TOTAL SPEEDUP: 46.12x