If you are looking at a book in its original language and an English translation both available for free online, and you are following along side by side, but want to see each sentence of the original on the top or bottom of the English translation, is there some sort of programming that converts two pieces of text so that they converge and you can see the translation sentence by sentence, as in there is a sentence in one language then on the the next line is the same sentence in the other language?
I've noticed that following along side by side is a bit hard because you have to move your eyes side to side, because there is a bit of travel distance for your eyes and sometimes you lose track and take a few seconds to find the right spot and it gets tiring.
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Long story short, I was diagnosed with glioblastoma last August right before going off to Boise State to study computer science. I had surgery to remove one of the tumors and because of the surgery, I am paralyzed in my left arm. Hopefully, it's only temporary. I had to cancel the school year to do treatment but I am attending this fall. I still can't type with my left at the moment but we got speech to text software for some of my classes.
Except, my programming classes which I would find very difficult to succeed in with my left hand being the way it is right now.
I am wondering if anyone had a solution to this problem specifically software wise but would also love to hear about the hardware?
Also, it's not like I cant program, it's just extremely difficult and tedious with one hand.
moved to:https://superuser.com/questions/1311225/adaptations-to-being-able-to-program-with-right-hand-only?noredirect=1#comment1949694_1311225
I thought it would be more appropriate there.
First off, apologies if my question is not more precise or clear, but I simply don't have the technical expertise to phrase it correctly. Let me try by giving you an example of the kind of app/game/website? I want to build:
the player starts the game by choosing a level
they hear a phrase, and they have to type it into the box
if the sentence they have typed in is incorrect (doesn't match the sentence heard), errors will be hightlighted, and they are prompted to try again in a new box.
when their input is correct, they hear a new sentence
and so on
If it's only web you can go with Javascript (to manipulate the front) and some php (if you need to get the audio and sentences from a database for example)
I have a text corpus which is already aligned at sentence level by construction - it is a list of pairs of English strings and their translation in another language. I have about 10 000 strings of 5 - 20 words each and their translations. My goal is to try to build a metric of the quality of the translation - automatically of course, because I'm dealing with languages I know nothing about :)
I'd like to build a dictionary from this list of translations that would give me the (most probable) translation of each word in the source English strings into the other language. I know the dictionary will be far from perfect but I'm hoping I can have something good enough to flag when a word is not consistently translated, for example, if my dictionary says "Store" is to be tranlated into French by "Magasin" then if I spot some place where "Store" is translated as "Boutique" I can suspect that something is wrong.
So I'd need to:
build a dictionary from my corpus
align the words inside the string/translation pairs
Do you have good references on how to do this? Known algorithms? I found many links about text alignment but they seem to be more at the sentence level than at the word level...
Any other suggestion on how to automatically check whether a translation is consistent would be greatly appreciated!
Thanks in advance.
A freely available (specifically, GPL-licensed) tool for word alignment is GIZA++. I trains the well-known IBM models mentioned in other answers, as well as other statistical models.
You can download it from the GIZA++ site at Google Code, and there is a brief introduction to its usage found at the GIZA++ Apertium. It boils down to this procedure:
Create your parallel corpus, sentence-aligned (you seem to have this already)
Apply the plain2snt tool included in GIZA++ to extract word lists and sentence lists in GIZA++ format
(Optional – only used for some models:) Generate word classes using the mkcls tool (also included)
Run the actual word alignment tool GIZA++. There are various optional configuration settings you can use to determine the type of model generated.
Before you can do this, you must build the tool from source code by running make. The code is written in C++ and compiles well with recent GCC versions.
A few final notes:
There are more than one possible translations for every word; you shouldn't rely on the assumption that a specific translation found in one text is necessarily wrong just because the same word is translated differently in another text;
One word may be translated into a (not necessarily contiguous) sequence of several words, and vice versa. Some words are not translated at all;
GIZA++ is a statistical tool that approximates the correct word alignment; many of the alignments it generates are questionable or incorrect.
This a pretty standard statistical machine translation problem called 'word alignment'.
There are bunch of EM clustering-based models developed by researchers at IBM which I think are the base for most other cooler models being developed today.
Google for 'ibm word alignment models' to find about IBM Models 1 to 5.
This presentation - http://www.stanford.edu/class/cs224n/handouts/cs224n-lecture-05-2011-MT.pdf seems like a good place to start.
Are you using spaces between words? Whatever character you are using, you might check out the slice command in Linux. It gives you the ability to filter words in-between spaces and other characters.
I am having some trouble getting pointers to how to perform what appears to be a deceptively easy task:
Given an audio stream, how do you count the number of words that have been spoken, in real-time?
I don't need to recognize what the words are, but rather just have an accurate counter on words that have been uttered. The counter doesn't have to be too accurate and could even consider utterances and other "grunts" like coughs.
It appears that all Speech Recognition systems depend on a pre-defined grammar to be provided before they can analyze the phonemes that are spoken to convert to known words with some degree of accuracy. But I don't care about the accuracy at all, but rather the rate of words being spoken.
What is important is that this runs in real time, and allow the system to provide alerts after a certain number of words have been spoken. The system will encourage a visual cue to pause, and then the speaker can continue.
I've looked at CMU Sphinx FAQ and found that the idea of "word spotting" is not yet supported. I don't really need a real time search of particular words, but it approximates more closely to what I am looking for. Looking for very small silences in the waveform seems to be a very crude way of doing this and probably not very accurate at all, but that's all I have right now.
Any pointers on algorithms, research papers or any other insights would be appreciated!
I would like to do an interesting project for a computer graphics course. I know that there is a lot of literature out there (i.e. SIGGRAPH conference papers). I have a very large range of interest with regard to computer graphics (i.e. image processing, 3D modeling, rendering, animation). However, I've only taken computer vision/graphics for 2 semesters and thus don't have too much background experience, except for the class projects that I had to do.
I've been looking through SIGGRAPH papers trying to see if there is anything that will be of interest to me but the literature is extremely vast. I was wondering if anyone has any topic suggestions, anything interesting that you ran across that you could recommend. I would prefer to do something fun yet slightly challenging (not really interested in making a shooter game).
If this question does not belong here, I apologize and please let me know where I should move it.
Thanks!
Image Drawing animator. (the name is kind of misleading, but I didn't care much about it)
Anyway, the software does the following:
Takes an image say a JPEG or BMP as input.
Extract the lines from the image. (I used Matlab and Laplace transformations)
Convert the static lines to Vector paths.
Simulate drawing the image using the extracted paths.
In summary, you should give an image, for example a city scape, the program extract all lines and start drawing the buildings, streets and sunset lines, then finally add the colors one by one, until the full image is done.
Real time hand(s) detector.
You'll have plenty of interesting and fun applications with this.