OpenLLM-France/wikimedia huggingface dataset:
# Hebrew/Archive/Family2

This is a second level lesson on family terms.
Prerequisites include Hebrew/Family.

## Vocabulary
### Nouns
#### דוֹד

    uncle (m) (singular)

#### דוֹדיִם

    uncles (m) (plural)

#### דוֹדָה

    aunt (f) (singular)

#### דוֹדָוֹת

    aunts (f) (plural)

#### בֵן דוֹד

    cousin (m) (singular)

#### בְנֵי דוֹדִים

    cousins (m) (plural)

#### בָת דוֹדָה

    cousin (f) (singular)

#### בְּנוֹת דוֹדוֹת

    cousins (f) (plural)
home בית (pronounced bayit)

### Verbs

lives (as in lives with)

### Adjectives

older, younger

## Sentences and Phrases

זאת בת דודתי
pronunciation: zot bat dodatee
this is my cousin (single)(female)
זה בן דודי
pronouciation: ze ben dodee
this is my cousin (single)(male)
כל הדודים והדודות שלי כאן.
pronunciation: kol hadodim ve hadodot shelee kan.
all of my aunts and uncles are here
# Hebrew/Aleph-Bet/8

* Lessons on the Hebrew Aleph-Bet
* Introduction
* 1 א בּ ת • E
* 2 ב ה נן • E
* 3 מם שׁשׂ • E
* 4 ל ו • E
* 5 ד ר י • E
* 6 ג ז ח • E
* 7 ט ככּך
* • E
* 8 ס ק • E
* 9 ע פפּף • E
* 10 צץ • E
* Review
* Test • Answers
* • talk
Welcome to the eighth lesson of the Hebrew alphabet! In this relatively short lesson you will learn two new Hebrew letters - ס and ק.

## Letters
### Samekh

ס The fifteenth letter in the Hebrew alphabet is Samekh. Like Sin, it makes the "s" sound (IPA: /s/, "s" as in "safe").

### Qof

ק The nineteenth letter in the Hebrew alphabet is Qof (many Israelis pronounce the letter's name as "Quf"). Like Kaf, it makes the "k" sound (IPA: /k/, "k" as in "kitten").
In order to make the distinction between Qof and Kaf (something which will assist you in spelling), Qof is transliterated as a Q. Traditionally, Qof is pronounced as IPA: /q/, same as Kaf only that you make the sound deeper in your throat. The International Phonetic Alphabet symbol for this sound, as well as the common transliteration of it in Semitic languages, is Q - which is why this letter was chosen for that purpose.

## Full Writing - Ktiv Malei

As we have already learned, in most texts niqqud aren't written. But there are some letters - Aleph, Vav and Yod - that also produce the "a", "o", "u" and "i" sounds respectively. How can these be expressed when there are no vowels?
These letters are used to assist the reader in distinguishing between words. For instance:
Ktiv ħasser ("empty writing, with niqqud, without vowel letters):
מִטָּה mitah bed
Ktiv malei ("full writing", without niqqud, with vowel letters):
מיטה mitah bed
This form - without niqqud, but with vowel letters for support - is known as ktiv malei "full writing" - because it incorporates the "full" form of the word, with the most letters.
Note: There is no vowel letter for the "e" sound, though it's supposed to be Yod. Also, Aleph is rarely used in Hebrew as a vowel letter, mostly in foreign words (as in וָארְשָׁה varshah Warsaw).

## Words

סְלִיחָה sliħah excuse me, pardon, sorry, forgiveness (feminine, singular) דַּקָּה daqqah minute, thin (feminine, singular) סֻכּוֹת sukkot Sukkot, Feast of Booths, Feast of Tabernacles (Jewish holiday) (feminine, plural) (full writing: סוכות) סִימָן siman sign, symbol, mark‏ (masculine, singular) סָגֹל sagol purple (masculine, singular) (FW: סגול) קוֹף qof monkey, ape (masculine, singular) קֶמַח qemaħ flour (masculine, singular) מַס mas tax (masculine, singular)

## Summary

In this lesson, you've learned:
* The letters Samekh ס and Qof ק.
* The words סְלִיחָה, דֵּקָּה, סֻכּוֹת, סִימָן, סָגֹל, קוֹף, קֶמַח and מַס.
* "Full writing" - writing with vowel letters replacing niqqud symbols.
Practice what you've learned in the exercises.
Next lesson: Aleph-Bet 9 >>>

## Notes

* ↑ Ancient loanword from Greek (σημανσις semansis).
# Fundamentals of Transportation/Trip Generation/Solution

Planners have estimated the following models for the AM Peak Hour
$T_{O,i}=1.5*H_{i}\,\!$
$T_{D,j}=(1.5*E_{off,j})+(1*E_{oth,j})+(0.5*E_{ret,j})\,\!$
Where:
$T_{O,i}\,\!$ = Person Trips Originating in Zone $i\,\!$
$T_{D,j}\,\!$ = Person Trips Destined for Zone $j\,\!$
$H_{i}\,\!$ = Number of Households in Zone $i\,\!$
You are also given the following data
Data :
| Variable | Dakotopolis | New Fargo |
| $H$ | 10000 | 15000 |
| $E_{off}$ | 8000 | 10000 |
| $E_{oth}$ | 3000 | 5000 |
| $E_{ret}$ | 2000 | 1500 |
A. What are the number of person trips originating in and destined for each city?
B. Normalize the number of person trips so that the number of person trip origins = the number of person trip destinations. Assume the model for person trip origins is more accurate.
A. What are the number of person trips originating in and destined for each city?
Solution to Trip Generation Problem Part A :
| | Households ($H_{i}$) | Office Employees ($E_{off}$) | Other Employees ($E_{oth}$) | Retail Employees ($E_{ret}$) | Origins $T_{O,i}=1.5*H_{i}$ | Destinations $T_{D,j}=(1.5*E_{off,j})+(1*E_{oth,j})+(0.5*E_{ret,j})$ |
| Dakotopolis | 10000 | 8000 | 3000 | 2000 | 15000 | 16000 |
| New Fargo | 15000 | 10000 | 5000 | 1500 | 22500 | 20750 |
| Total | 25000 | 18000 | 8000 | 3000 | 37500 | 36750 |
B. Normalize the number of person trips so that the number of person trip origins = the number of person trip destinations. Assume the model for person trip origins is more accurate.
Use: $\quad T_{D,j}^{'}=T_{D,j}{\frac {\sum \limits _{i=1}^{I}{T_{O,i}}}{\sum \limits _{j=1}^{J}{T_{D,j}}}}=>T_{D,j}{\frac {37500}{36750}}=T_{D,j}*1.0204\,\!$
Solution to Trip Generation Problem Part B :
| | Origins ($T_{O,i}$) | Destinations ($T_{D,j}$) | Adjustment Factor | Normalized Destinations ($T_{D,j}'$) | Rounded |
| Dakotopolis | 15000 | 16000 | 1.0204 | 16326.53 | 16327 |
| New Fargo | 22500 | 20750 | 1.0204 | 21173.47 | 21173 |
| Total | 37500 | 36750 | 1.0204 | 37500 | 37500 |
# Fundamentals of Transportation/Trip Generation/Solution2

Modelers have estimated that the number of trips leaving Rivertown (T_O) is a function of the number of households (H) and the number of jobs (J), and the number of trips arriving in Marcytown (T_D) is also a function of the number of households and number of jobs.
$T_{O}=1H+0.1J;R^{2}=0.9\,\!$
$T_{D}=0.1H+1J;R^{2}=0.5\,\!$
Assuming all trips originate in Rivertown and are destined for Marcytown and:
Rivertown: 30000 H, 5000 J
Marcytown: 6000 H, 29000 J
Determine the number of trips originating in Rivertown and the number destined for Marcytown according to the model.
Which number of origins or destinations is more accurate? Why?
Determine the number of trips originating in Rivertown and the number destined for Marcytown according to the model.
T_Rivertown =T_O ; T_O= 1(30000) + 0.1(5000) = 30500 trips
T_(MarcyTown)=T_D ; T_D= 0.1(6000) + 1(29000) = 29600 trips
Which number of origins or destinations is more accurate? Why?
Origins(T_{Rivertown}) because of the goodness of fit measure of the Statistical model (R^2=0.9).
# Fundamentals of Transportation/Vertical Curves/Homework
## Homework

1. Which conic section forms the basis of vertical curves?
2. A section of a roadway goes up a 6% incline and includes no horizontal curves. Point A, which lies along this incline, has a station marker. Using a wheel measure, you measure the distance along the centerline from point A to the next PVC and find it is 880 meters. If point A is at Station 0+700, what is the station of the PVC?
3. Identify 4 criteria used to set the minimum length of a sag vertical curve (4 points), place them in order from most to least important (1 point):
4. An equal tangent sag vertical curve joins a –0.5 % grade with a +3.0% grade. Assume H=0.6, headlights are aimed upward at an angle of 1 degree
If the PVI of the grades is at metric station 10+100 and has an elevation of 300 meters, using the headlight criterion determine the station elevation of the PVC and PVT for a design speed of 100 km/hr and a coefficient of friction of 0.30. Draw a diagram with the values of your solution.
5. A crest vertical curve on a 2-way, 2-lane road is designed for 100 km/hr. The grades are 1.6% and – 1.4%. If the tangents intersect at metric station 2 + 000.00 (where 2 represents 2 km and 000.00 is 0 meters) and at an elevation of 100 meters above sea level, determine the stopping sight distance, the length of the curve, and the stations and elevations for the Beginning and End of the Vertical Curve. Assume h1 = 1.1 m and h2 = 0.15 m, perception reaction time is 2.5 seconds, f=0.30.
Draw a diagram with the values of your solution.
6. An equal tangent sag vertical curve joins a -2.5% grade with a +3.0% grade. Assume H=0.67, headlights are aimed upward at an angle of 1 degree. If the PVI of the grades is at metric station 5+750 and has an elevation of 0 meters, using the headlight criterion determine the station elevation of the PVC and PVT for a design speed of 120 km/hr and a coefficient of friction of 0.31. Draw a diagram with the values of your solution.
7. You have been asked to design an equal-tangent vertical curve to connect grades of the +1.0% and -2.0%. The design speed is 113 km/h. Assume a value of 3.4 m*s-2 for deceleration rate, a value of 2.5s for reaction time, and a value of 9.807m*s for gravitational constant.
A. Calculate the Stopping Sight Distance (SSD) if we assume vehicles travel at the design speed.
B. If we take this SSD as the required minimum Sight Distance, determine the minimum length of curve. (According to AASHTO, we assume a driver eye height, H1, of 1.08m and a roadway object height, H2, of 0.6m).
# Fundamentals of Transportation/Vertical Curves/Problem

To help prevent future collisions between cars and trains, an at-grade crossing of a rail road by a country road is being redesigned so that the county road will pass underneath the tracks. Currently the vertical alignment of the county road consists of an equal tangents crest vertical curve joining a 4% upgrade to a 3% downgrade. The existing vertical curve is 450 feet long, the PVC of this curve is at station 48+24.00, and the elevation of the PVC is 1591.00 feet. The centerline of the train tracks is at station 51+50.00. Your job is to find the shortest vertical curve that provides 20 feet of clearance between the new county road and the train tracks, and to make a preliminary estimate of the cut that will be needed to construct the new curve.
# Future

WELCOME to the FUTURE, where advancements and changes in biology, electronics, engineering, and society result in many different futuristic scenarios that synergize into scenario-books. In this book, you will find a vast database of ideas pertaining to the discipline of futurology, as well as of current trends, various subject areas, and changes yet to occur. Are we speculative or are we scientific? We're both: we recognize the importance of scientific accuracy and practical realism, as well as that of drastic points of divergence, in the creation of our scenarios. Our guide to futurology provides an introduction to the discipline of futurology, while our standard timeline provides an introduction to the future.

## Table of contents

* Prologue
* Futurology <What's This?
** Prophesy's Principal Practical Principles
** Four Future-Forming Fundamental Factors
** Ten Tenets to Technological Trends
** Accelerating Progress
** Certainty
** Concepts
** Prediction Methods
** Uncertainty
* General Predictions
** Biology
*** Biotechnology
** Engineering
*** War
** Informatics
*** Artificial Intelligence
*** User Interface
*** Virtual Reality
** Politics
*** Emergence of China
*** Emergence of the EU
*** Emergence of India 1 , 2
*** New World Order
** Social
*** Education
* Scenarios <What's This?
** End of Civilization
** Totalitarian State
* Quotes
* Links
# Fundamentals of Transportation/Vertical Curves/Solution

To help prevent future collisions between cars and trains, an at-grade crossing of a rail road by a country road is being redesigned so that the county road will pass underneath the tracks. Currently the vertical alignment of the county road consists of an equal tangents crest vertical curve joining a 4% upgrade to a 3% downgrade. The existing vertical curve is 450 feet long, the PVC of this curve is at station 48+24.00, and the elevation of the PVC is 1591.00 feet. The centerline of the train tracks is at station 51+50.00. Your job is to find the shortest vertical curve that provides 20 feet of clearance between the new county road and the train tracks, and to make a preliminary estimate of the cut at the PVI that will be needed to construct the new curve.
A.) What is the curve length?
The curves are equal tangent, so we know that: PVI - PVC = PVT - PVI = L/2
From this, we know:
* PVC of First Curve: 48+24
* PVI of Both Curves (this is a constant): (48+24.00 + (450/2) = 50+49)
* $x_{rr}$: Distance between PVI and railroad tracks: (51+50 - 50+49 = 101 feet)
* PVI Elevation: 1591 + (0.04*225) = 1600 feet
Use the offset formula for the first curve to find the vertical distance between the tangent and the curve:
$Y={\frac {Ax^{2}}{200L}}\,\!$
Where:
* $A\,\!$ = 7 (Change in Grade)
* $L\,\!$ = 450 feet
* $x\,\!$ = 51+50 - 48+24 = 326 feet
The offset, Y, at the railroad tracks's station is computed to be 8.27 feet.
The road is to be lowered an additional 20 feet. Therefore, the new offset at that sight would become 28.27 feet. The equation for the second curve becomes:
$Y=28.27={\frac {7x^{2}}{200L}}\,\!$
Neither L (length of curve) or x (distance of offset from PVC) are known. However, we know this is an equal tangent curve, meaning the distance from PVC to PVI is L/2 for the curve in question. Also, the distance between PVI and the railroad tracks is $x_{rr}$, which is 101 feet. Therefore, (L/2) + $x_{rr}$ equals the distance from PVC to the railroad tracks, which is what we want for x. Thus, we are left with one unknown and one equation.
$Y=28.27={\frac {7(L+101)^{2}}{200L}}\,\!$
The new curve length is found to be 2812 feet.
B.) How deep is the cut at the PVI?
To find this, the offset formula can be used again, using the length L/2 as the distance from the PVC on any curve.
For the old curve, the offset is:
$Y={\frac {A(L/2)^{2}}{200L}}={\frac {7(450/2)^{2}}{200(450)}}=3.935\ feet\,\!$
For the new curve, using data found from before, the offset is:
$Y={\frac {A(L/2)^{2}}{200L}}={\frac {7(2812/2)^{2}}{200(2812)}}=24.605\ feet\,\!$
The difference between the two offsets is 20.67 feet. This is the depth of the cut at the PVI.
# False Friends of the Slavist/Slovak-Macedonian
## Slovenčina — Македонски

| Slk. čas Mk. време ‘time’ Mk. час Slk. hodina ‘hour’ | map |
| Slk. hodina 1. час ‘hour’ 2. време, час ‘time, hour (poet.)’ Mk. година Slk. rok ‘year’ | map |
| Slk. hrať 1. игра ‘to play (a game)’ 2. игра ‘to play (theatre)’ 3. свири ‘to play (music)’ Mk. игра 1. hrať ‘to play (a game)’ 2. hrať ‘to play (theatre)’ 3. tancovať ‘to dance’ | map |
| Slk. jahoda 1. јагода ‘strawberry’ 2. зрно ‘berry’ Mk. јагода Slk. jahoda ‘strawberry’ | map |
| Slk. kraj 1. крај ‘region’ 2. раб, ивица ‘edge’ Mk. крај 1. kraj ‘region’ 2. koniec ‘end’ | map |
| Slk. leto 1. лето ‘summer’ 2. година (30 години) ‘year (in the plural), e.g. 30 years’ Mk. лето Slk. leto ‘summer’ | map |
| Slk. list 1. лист ‘sheet of paper’ 2. лист ‘leaf’ 3. писмо ‘letter’ Mk. лист 1. list ‘sheet of paper’ 2. list ‘leaf’ | map |
| Slk. masa Mk. маса ‘mass’ Mk. маса 1. masa ‘mass’ 2. stôl ‘table’ | map |
| Slk. matka Mk. мајка ‘mother’ Mk. матка Slk. maternica ‘womb, uterus’ | map |
| Slk. náhly 1. нагло ‘vehement, hasty’ 2. одненадеж, наеднаш ‘sudden’ Mk. нагло Slk. náhly ‘vehement, hasty’ | map |
| Slk. napravo Mk. (на) десно ‘to the right’ Mk. (на)право Slk. priamo ‘straight on’ | map |
| Slk. nedeľa Mk. недела ‘Sunday’ Mk. недела 1. nedeľa ‘Sunday’ 2. týždeň ‘week’ | map |
| Slk. pokoj 1. покој ‘quiet’ 2. мир ‘peace’ Mk. покој Slk. pokoj ‘quiet’ | map |
| Slk. povesť 1. глас ‘fame, reputation’ 2. приказна, предание ‘legend’ Mk. повест Slk. krátky román ‘novelette’ | map |
| Slk. rodina Mk. семејство ‘family’ Mk. родбина Slk. príbuznosť ‘relations’ | map |
| Slk. slovenský Mk. словачки ‘Slovak’ Mk. словенски Slk. slovanský ‘Slavonic’ | map |
| Slk. stôl Mk. маса ‘table’ Mk. стол Slk. stolička, stolica ‘chair’ | map |
| Slk. strana 1. страна ‘side’ 2. страна ‘page’ 3. партија ‘political party’ Mk. страна 1. strana ‘side’ 2. strana ‘page’ | map |
| Slk. vec Mk. работа ‘matter’ Mk. вешт Slk. šikovný ‘clever’ | map |
| Slk. vrah Mk. убиец ‘murderer’ Mk. враг 1. nepriateľ ‘enemy’ 2. čert ‘devil, demon’ 3. prefíkanec, lišiak ‘slyboots, smartie’ | map |
| Slk. záchod Mk. клозет, нужник ‘toilet’ Mk. заод Slk. západ ‘sunset’ | map |
| Slk. zrak Mk. вид ‘eyesight’ Mk. зрак Slk. lúč ‘ray, beam’ | map |
* For additional information on false friends, see the On-line hypertext bibliography by Daniel Bunčić and Ryszard Lipczuk.
* You can help!
* Have you spotted any mistakes on this page? Would you like to add information about false friends from your own experience, or help enhance this project in other respects?
* Just click the "edit this page" button at the top of this page — it’s easier than you think! If you need advice, see the editing help for this book.
# False Friends of the Slavist/Slovenian-Macedonian
## Slovenščina — Македонски

| Sln. čas Mk. време ‘time’ Mk. час Sln. ura ‘hour’ | map |
| Sln. Dunaj Mk. Виена ‘Vienna’ Mk. Дунав Sln. Donava ‘Danube’ | map |
| Sln. igrati 1. игра ‘to play (a game)’ 2. игра ‘to play (theatre)’ 3. свири ‘to play (music)’ Mk. игра 1. igrati ‘to play (a game)’ 2. igrati ‘to play (theatre)’ 3. plesati, rajati ‘to dance’ | map |
| Sln. jagoda 1. јагода ‘strawberry’ 2. зрно ‘berry’ Mk. јагода Sln. jagoda ‘strawberry’ | map |
| Sln. kraj 1. крај ‘end’ 2. крај ‘region’ 3. раб, ивица ‘edge’ Mk. крај 1. kraj ‘end’ 2. kraj ‘region’ | map |
| Sln. leto 1. година ‘year (in the sg.)’ 2. година (30 години) ‘year (in the plural), e.g. 30 years’ Mk. лето Sln. poletje ‘summer’ | map |
| Sln. listopad 1. листопад ‘falling of leaves’ 2. ноември ‘November’ Mk. листопад Sln. listopad ‘falling of leaves’ | map |
| Sln. masa Mk. маса ‘mass’ Mk. маса 1. masa ‘mass’ 2. miza ‘table’ | map |
| Sln. nagel 1. нагло ‘vehement, hasty’ 2. одненадеж, наеднаш ‘sudden’ 3. брз, пргав ‘fast, quick’ Mk. нагло Sln. nagel ‘vehement, hasty’ | map |
| Sln. nedelja Mk. недела ‘Sunday’ Mk. недела 1. nedelja ‘Sunday’ 2. teden ‘week’ | map |
| Sln. plot Mk. плот ‘fence’ Mk. плот 1. plot ‘fence’ 2. telo ‘body, flesh’ | map |
| Sln. povest Mk. приказна, предание ‘legend’ Mk. повест Sln. kratek roman ‘novelette’ | map |
| Sln. reč Mk. работа ‘matter’ Mk. реч Sln. govor ‘speech’ | map |
| Sln. slovenski Mk. словенечки ‘Slovene’ Mk. словенски Sln. slovanski ‘Slavonic’ | map |
| Sln. stolica Mk. катедра ‘professorship’ Mk. столица Sln. stol ‘chair’ | map |
| Sln. vrag Mk. враг ‘devil, demon’ Mk. враг 1. vrag ‘devil, demon’ 2. sovražnik ‘enemy’ 3. prekanjenec, zvitorepec ‘slyboots, smartie’ | map |
| Sln. vreden Mk. драгоцен ‘precious’ Mk. вреден Sln. spreten, vrl, zmožen ‘able, clever’ | map |
| Sln. zahod 1. заод ‘sunset’ 2. запад ‘west’ Mk. заод Sln. zahod ‘sunset’ | map |
| Sln. zavod Mk. завод ‘institute’ Mk. завод 1. zavod ‘institute’ 2. tovarna ‘factory, works’ | map |
| Sln. zbor 1. собир, состанок ‘assembly’ 2. хор ‘choir’ Mk. збор Sln. beseda ‘word’ | map |
| Sln. život Mk. стомак ‘belly, body’ Mk. живот Sln. življenje ‘life’ | map |
| Sln. zrak Mk. воздух ‘air’ Mk. зрак Sln. žarek ‘ray, beam’ | map |
* For additional information on false friends, see the On-line hypertext bibliography by Daniel Bunčić and Ryszard Lipczuk.
* You can help!
* Have you spotted any mistakes on this page? Would you like to add information about false friends from your own experience, or help enhance this project in other respects?
* Just click the "edit this page" button at the top of this page — it’s easier than you think! If you need advice, see the editing help for this book.
# False Friends of the Slavist/Slovak-Serbian
## Slovenčina — Српски језик

| Slk. čas Sb. време ‘time’ Sb. час Slk. hodina ‘hour’ | map |
| Slk. doba 1. доба ‘time, era, period’ 2. трајање ‘time, duration’ Sb. доба Slk. doba ‘time, era, period’ | map |
| Slk. hodina 1. час ‘hour’ 2. време, час ‘time, hour (poet.)’ Sb. година Slk. rok ‘year’ | map |
| Slk. hora 1. гора ‘mountain’ 2. шума ‘forest’ Sb. гора Slk. hora ‘mountain’ | map |
| Slk. hrať 1. играти ‘to play (a game)’ 2. глумити ‘to play (theatre)’ 3. свирати ‘to play (music)’ Sb. играти 1. hrať ‘to play (a game)’ 2. tancovať ‘to dance’ | map |
| Slk. jahoda 1. јагода ‘strawberry’ 2. боба ‘berry’ Sb. јагода Slk. jahoda ‘strawberry’ | map |
| Slk. kraj 1. крај ‘edge’ 2. крај ‘region’ Sb. крај 1. kraj ‘edge’ 2. kraj ‘region’ 3. koniec ‘end’ | map |
| Slk. leto 1. лето ‘summer’ 2. година (30 година) ‘year (in the plural), e.g. 30 years’ Sb. лето Slk. leto ‘summer’ | map |
| Slk. list 1. лист ‘sheet of paper’ 2. лист ‘leaf’ 3. писмо ‘letter’ Sb. лист 1. list ‘sheet of paper’ 2. list ‘leaf’ | map |
| Slk. mrak Sb. облак ‘cloud’ Sb. мрак Slk. tma ‘darkness’ | map |
| Slk. muž 1. муж ‘husband’ 2. мушкарац ‘man’ Sb. муж Slk. muž ‘husband’ | map |
| Slk. napravo Sb. десно ‘to the right’ Sb. право Slk. priamo ‘straight on’ | map |
| Slk. nedeľa Sb. недеља ‘Sunday’ Sb. недеља 1. nedeľa ‘Sunday’ 2. týždeň ‘week’ | map |
| Slk. pokoj 1. покој ‘quiet’ 2. мир ‘peace’ Sb. покој Slk. pokoj ‘quiet’ | map |
| Slk. reč Sb. говор ‘speech’ Sb. реч Slk. slovo ‘word’ | map |
| Slk. rodina Sb. породица ‘family’ Sb. родбина Slk. príbuznosť ‘relations’ | map |
| Slk. sad Sb. врт, башта ‘garden’ Sb. сад Slk. teraz ‘now’ | map |
| Slk. slovenský Sb. словачки ‘Slovak’ Sb. словенски Slk. slovanský ‘Slavonic’ | map |
| Slk. slovo Sb. реч ‘word’ Sb. слово Slk. písmeno ‘letter (of the alphabet)’ | map |
| Slk. sto Sb. сто ‘a hundred’ Sb. сто 1. sto ‘a hundred’ 2. stôl ‘table’ | map |
| Slk. strana 1. страна ‘side’ 2. страна ‘page’ 3. партија, странка ‘political party’ Sb. страна 1. strana ‘side’ 2. strana ‘page’ | map |
| Slk. vec Sb. ствар ‘matter’ Sb. вешт Slk. šikovný ‘clever’ | map |
| Slk. vec Sb. ствар ‘matter, thing’ Sb. већ Slk. už ‘already’ | map |
| Slk. vrah Sb. убица ‘murderer’ Sb. враг Slk. čert ‘devil, demon’ | map |
| Slk. žito 1. раж ‘rye’ 2. пшеница ‘wheat’ Sb. жито Slk. obilie, zbožie ‘grain, cereals, (Br.) corn’ | map |
| Slk. zrak Sb. вид ‘eyesight’ Sb. зрак Slk. lúč ‘ray, beam’ | map |
| Slk. so 1. с ‘with’ 2. са ‘with’ Sb. со Slk. soľ ‘salt’ | map |
* For additional information on false friends, see the On-line hypertext bibliography by Daniel Bunčić and Ryszard Lipczuk.
* You can help!
* Have you spotted any mistakes on this page? Would you like to add information about false friends from your own experience, or help enhance this project in other respects?
* Just click the "edit this page" button at the top of this page — it’s easier than you think! If you need advice, see the editing help for this book.