Two things: * There exists a Greek sentiment lexicon, developed in the context of a EU-funded project: https://github.com/MKLab-ITI/greek-sentiment-lexicon * The blog on Eurotalk mentions that Greek has 5 million words, while English has 170000. The reference for Greek is given to be the Guinness Book of Records. I don’t know if it really says anything like that, but it is not a scientific publication. Anyway, it is not easy to count words, see https://www.economist.com/blogs/johnson/2010/06/counting_words. Moreover, if you include words like those found in Homeric poems, I am sure you can come up with an impressive number about a language that is more difficult to understand to most Greeks than English. For what’s worth you can also look the Wikipedia entry on number of words in different languages, keeping in mind that what count as a “word” varies https://en.wikipedia.org/wiki/List_of_dictionaries_by_number_of_words. * BTW, a source of new words may be online forums. I doubt existing dictionaries have words like “μπανάρω”. Best, πλ > On 18 Mar 2018, at 16:19, Giannhs Daras <daras [ dot ] giannhs [ at ] gmail [ dot ] com> wrote: > > Hello! > I would like to thank both of you for your time and your detailed feedback. I really appreciate it and I would take it into account in order to improve my application. > Mr Gogoulos, thanks for your nice words. Regarding your questions: > 1) Fortunately, I will have finished the majority of my obligations before the start of GSOC. The only constraint will be my exams but this period lasts less than a month and with good organization of my time, I will manage to devote some time then. In any case, I will compensate for any loss of time during this period with hard work in the months following. > 3) As Mr Louridas noticed, there are some reliability issues with this source because it is not for demotic Greek; the main reason for mentioning it is that it provides us with an abstract, but still measurable, guess of how large or small can this list be for Greek language. But still, I agree with your idea; there is no point in trying to reinvent the wheel. We should use whatever is available in order to save time and focus on programming rather than collecting data. For that reason, I believe that we should take advantage of the organization brand in order to obtain the information we want; it is far more persuasive than a single person asking for data in digital format. > 4) I haven't done much research on the web but I will soon. I guess that in other languages the data are provided from institutions which do language research but I will search it and I will post an update here. As for my own approach, I think it will get the job done. It seems complicated but the idea behind it is really simple; find some origin words (which is easy to find from web or other sources) and then every new word you come across relate it to the most similar word from the initial list; meaning the word with the least Hamming Distance. For example, "αμπελοφιλοσοφία" may be a word of the initial list. The word "αμπελοφιλόσοφος" is not in the initial list but it's hamming distance with the word in the list is small (smaller than any other word in the list) so these words are going to be grouped together. Of course, there are cases in which this approach may leads to wrong groupings ; but these cases are very rare compared to the size of the list we need to construct so this approach is a good place to start. Of course, I am open to other approaches and I am going to rethink it, maybe I will find something else to do. But generally, I staunchly believe that is a promising strategy. > 5) Have a look here: https://github.com/sloria/TextBlob/blob/90cc87ab0f9e25f37379079840ec43aba59af440/textblob/en/en-sentiment.xml . It is what text-blob does. Each adjective has a specific polarity but based on its sense. Each word can have many different senses based on context. A simple "not" can change the sense of a word. I guess that we can find words like not that can change polarity and then using the dependency parser spacy.io provides we can find the sense a word has based on the context it is used. The rest is easy: we can average polarities of adjectives or even use some simple classifier (take a look at here: https://github.com/sloria/TextBlob/blob/90cc87ab0f9e25f37379079840ec43aba59af440/textblob/en/sentiments.py). > About FEK, give me some time to read the structure of the document and then I will return with updates. One easy feature could be recognizing named entities, but I think that together we can think something more sophisticated than that. > 6) Fixed. Sorry for that, I changed username recently. > > Mr Louridas, thanks for your feedback and your suggestions. They seem pretty interest, I will take them into account. About your questions related to the lengths of Greek and English language, I compared those two sources: https://en.oxforddictionaries.com/explore/how-many-words-are-there-in-the-english-language, http://eurotalk.com/blog/2013/02/08/so-did-you-know-you-can-speak-greek/ . It says that english language has 170.000 words while Greek has 5 million. I am not quite sure about the quality of this information, but at first sight there is a significant difference that we should not overlook in the design and the implementation of the project. About the norm-exceptions numbers, as you correctly mentioned, my source is not reliable but the meaning of this mention was to illustrate that the Greek and English language numbers for norm-exceptions are comparable. Concerning sources for norm-exceptions in Greek language your email is really informative. I will have a look on that and I will write back to you to inform you about my findings. I will also update my application in order to include the sources you mentioned (Greek schoolbooks, wikipedia, Hunspell dictionary). Thanks again for your time. > > I hope that this e-mail answers your questions. I will try to include most of the information in my application. > Please don't hesitate to ask me if you have any further questions. Any comments to my answers are more than welcome. > > Thanks again and I am waiting to hear from you soon. > Kind regards, > Ioannis Daras > > > On 17 March 2018 at 23:53, Panos Louridas <louridas [ at ] grnet [ dot ] gr> wrote: > I second Markos’s comments, some of my own: > > * Apart from crawlers, you can get dumps of the Greek wikipedia to obtain a large greek corpus. > > * You may also find of use the dictionary provided by Hunspell. > > * Where did you find the figure that Greek is 29 times richer than English? > > * Same for the number of greek norm exceptions? > > * Also, take into account that your reference is written in katharevousa, not demotic Greek, and look more oriented to phrasal verbs, so YMMV. In general norm exceptions in English are an issue because of the global nature of the language, compare British vs. American English. Norm exceptions in Greek are more likely to be found in manuals of good usage, for example “έχω απηυδήσει” vs. “έχω απαυδήσει”. The correct form is the second one, contrary to what most people think. There are plenty of such manuals, like one written by Prof. Babiniotis (Λεξικό των Δυσκολιών και των Λαθών στη Χρήση της Ελληνικής). That said, I wouldn’t loose too much sleep over such things, language and language rules evolve. There has been considerable research on this in English: "A rule is the tombstone of a thousand exceptions" (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2460562/). > > * Regarding the lemmatizer, again Hunspell may be of use. > > * Apart from the official government gazette, another source of data are the official Greek schoolbooks, all of which are available online. They are also a good test for checking the performance on language targeted for different age and education levels. > > Keep on the good work, > > πλ > > > On 17 Mar 2018, at 17:44, Markos Gogoulos <mgogoulos [ at ] mist [ dot ] io> wrote: > > > > Hi Ioannis, > > > > I had a look on your presentation+cv and I have to admit I'm really impressed by the wide range of your research interests + knowledge. > > I'm very positive that you can deliver the proposal you've written. It is very well writen and I'll try in the next few days to get it better and maximize chances for getting it accepted. I'd like to encourage other participants on the list to do so, please have a look as well. > > > > So for now just some very quick feedback: > > > > 1) The plan seems very nice to me, a question is if you're confident you'll have the time to cope with GSOC work (which is full time) along with the other research + enterpreneurial projects of yours. > > > > 2) I like what you suggest about bigger number of stop words for the Greek language (also was wondering why english version on Spacy has that few) > > > > 3) Regarding norm-exceptions, you mention http://www2.media.uoa.gr/language/gafl/details.php?bid=352 , I think that getting this list would save some time (plus produce accurate results) so may I suggest that we contact the author and kindly ask if this can be provided on a digital format? > > Please consider this for other tasks as well, for example the lemmatization. There should be open research on the greek web for these things, maybe it's not public (due to the fact that github and similar resources weren't a common thing to do when they produced the research) but I'm positive that authors would be willing to provide their work if we ask them. The idea is if there are good sources of data, we should profit from work already done and not redo it (obviously the work remains to get it to a format Spacy can understand but this is really easier than re-producing everything). I'd go one step forward and even consider asking from authors of good books on the subject (related to the greek language) for these type of data. Or even contact organizations as the Institute for Language and Speech Processing, and ask them. > > > > 4) Regarding the lemmatizer, Spacy doesn't mention much on the adding-language page, but I'm sure there must be discussion on the github issues page. What you suggest is your own approach or what is advised? Don't get me wrong, this seems highly interesting, just wondering if it is a bit too complicated (thus lot of noise on the results). Nevertheless the approach seems very interesting and we should make sure this experience is well documented and transfered to the Spacy.io community > > > > In general for all parts of the translation process it would make sense to check how they did it for other languages, just to profit from that experience (I'm sure you did work on this) > > > > Also would like to see a little more about text normalization and preprocessing, how you plan to handle punctuation (if you end up collecting the list yourself). Dictionary numbers are huge (eg I see on Polish 800k lemmas and Turkish 1.4m!) still we can do some manual review on the results. > > > > 5) On the 'extra' features, I'd like a very brief mention on how you would approach the categorization of the FEKs (btw that would make a really useful example on greek text classification how to!) > > > > Sentiment analysis is also an interesting addition to the proposal, wondering what you've tried here and what you have in mind. > > > > 6) Fix your github link on the CV, I think it's wrong > > > > > > Best, > > Markos > > > > On Fri, Mar 16, 2018 at 9:38 PM, Giannhs Daras <daras [ dot ] giannhs [ at ] gmail [ dot ] com> wrote: > > Hello Mr Gogoulos. > > Thanks for your answer! > > In my draft application that is uploaded in the Google Summer of Code platform there is a detailed timetable for the project implementation. Please confirm that you can see it. There is also a short bio. I will send you a private message with the link for that proposal in case you don't have access right now, but please inform me about whether you have access to the one that I have uploaded in the platform. > > In this e-mail, I also include a personal CV in case you or someone else in the list wants something more detailed than the one I wrote in my application. > > Thanks again for your message and I hope that I will hear from you soon. > > Kind regards, > > Ioannis Daras > > > > > > On 16 March 2018 at 20:42, Markos Gogoulos <mgogoulos [ at ] mist [ dot ] io> wrote: > > Hi Giannhs, > > > > thanks for the proposal, can you also include a CV and a timetable how you'd complete the project? > > > > Best, > > Markos > > > > > > > > On Fri, Mar 16, 2018 at 1:24 PM, Giannhs Daras <daras [ dot ] giannhs [ at ] gmail [ dot ] com> wrote: > > Dear Sir/Madam, > > My name is Ioannis Daras and I am third year student of Electrical and Computer Engineering at National Technical University of Athens. Some days ago, I came across a very interesting project of GFOSS for Google Summer of Code; I am talking about adding Greek language to Spacy platform. > > I read the documentation and the challenge fascinated me. I also had an idea about an interesting feature we could add to the project. Because of that, I read the student manual and wrote my proposal accordingly. I saved it as draft so hopefully organization has access to it. > > I would be really thankful if you could provide me with feedback about my application. I am deeply interested about the project so I would really like to adjust my proposal in order to meet the organization requirements. Please be as strict or benevolent you like, but I would love real feedback. > > Thanks again and I am waiting for your response, > > Ioannis Daras > > > > > > > > ---- > > Λαμβάνετε αυτό το μήνυμα απο την λίστα: Γενική λίστα αλληλογραφίας που απευθύνεται σε developers/contributors έργων ανοικτού λογισμικού - A general discussion list for developers/contributors of open-source projects, > > https://lists.ellak.gr/opensource-devs/listinfo.html > > > > Μπορείτε να απεγγραφείτε από τη λίστα στέλνοντας κενό μήνυμα ηλ. ταχυδρομείου στη διεύθυνση <opensource-devs+unsubscribe [ at ] ellak [ dot ] gr>. > > > > > > > > > > > > ---- > > Λαμβάνετε αυτό το μήνυμα απο την λίστα: Γενική λίστα αλληλογραφίας που απευθύνεται σε developers/contributors έργων ανοικτού λογισμικού - A general discussion list for developers/contributors of open-source projects, > > https://lists.ellak.gr/opensource-devs/listinfo.html > > > > Μπορείτε να απεγγραφείτε από τη λίστα στέλνοντας κενό μήνυμα ηλ. ταχυδρομείου στη διεύθυνση <opensource-devs+unsubscribe [ at ] ellak [ dot ] gr>. > >
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