Questions tagged [computational-linguistics]

A branch of science that uses computers and mathematical methods to construct and investigate linguistic theory. Its technological and algorithmic implementation is called NLP.

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49 views

What is the more natural parsing, the one that leads to the preferred reading of the sentence

I have those rules: and those two possible parse trees: I am asked for the next question: What is the more natural parsing, the one that leads to the preferred reading of the sentence? Can anyone ...
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34 views

Are there any theoretical properties of punctuation marks that allow to identify them without understanding the text?

Imaging that you have discovered a stone with written text in an ancient (or alien!) language that doesn't resemble any known language. Is there a way to show that some of the symbols are likely ...
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2answers
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What is the percentage of words that are phonemically regular in english?

I know that English has a deep orthography. I am wondering whether someone could tell me what the percentage of English words are governed by regular letter-sound rules? Thank you
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How to incorporate sentence end marker in POS tagging with viterbi algorithm?

I am self-reading the NLP book by Dan Jurafsky. In the book, the following equation is given for incorporating the sentence end marker in the Viterbi algorithm for POS tagging. I am confused why the ...
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1answer
38 views

how to interpret probabilities of sequences given by ngram language modelling?

Question about ngram models, might be a stupid question: With ngram models, the probability of a sequence is the product of the conditional probabilities of the n-grams into which the sequence can be ...
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1answer
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Is there any tool where I can effectively find some examples of a specific sound change in world's languages?

For example, I have once read about an example of the sound change g > dʐ. I need it now but I cannot find it. Is there anything like "sound change corpus" where I can effectively find ...
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138 views

ValueError: Can not squeeze dim[1], expected a dimension of 1

I want to buil a sequential LSTM model that predicts binary classification at every time step. More exactly, I want to predict an output for every paragraph in my texts (48 is the number of paragraphs)...
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32 views

Corpus of Taboo card game?

Has anyone constructed a corpus of people playing the card game Taboo, in a purely text-based setting, like a computer chat, rather than face-to-face with audio or video? The closest I've found are ...
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1answer
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Is the word “Language” in “Natural Language Processing” plural or singular, count or mass? [closed]

I want to translate the word language in the term NLP to the Arabic language. so I wonder, In Natural Language Processing, if the word language is countable or uncountable? whether it is plural or ...
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1answer
46 views

What algorithms can associate words together from texts?

What algorithms can associate words together from texts? I was wondering how this can be achieved. Thanks.
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Method in deep learning with domain specific corpus for a text classification

I'm searching a method to classify a text (5 classes) with a little corpus and which is domain specific (in pharmaceutical area). I tried some models on python like random forest or multinomial naive ...
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34 views

How to extract Subject-Verb-Object from a sentence?

Given a corpus of sentences, is there a way to extract subject-verb-object triplets? What is the state-of-art in detecting SVO triplets?
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1answer
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Is it possible to produce a list of syntactic rules for a language?

I recently started a new job as an applied linguist engineer and one of the first tasks I was ask to do was to provide a list of syntactic rules that can produce French sentences (for an ...
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Automatic sentence negation

I am looking for an automatic sentence negation tool. Something that will be able to perform conversions like: "this ball is large" ---> "this ball is small" "you should ...
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1answer
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Popular book(s) recommendation for start learning Linguistics keeping an interest in the Indus Valley script in mind

Recently, I have gathered enough interest in the subject Linguistics. As I came to know that Indus Valley scripts are among the last remaining undeciphered scripts of the ancient world, I gained more ...
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1answer
71 views

Is formal semantics useful for computational linguistics and NLP?

I browsed the table of content of Cann's Formal Semantics. Cann's book is for linguistics, and am I right that it is helpful for computational linguistics and natural language processing? But it also ...
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1answer
80 views

Seq2seq translation model. ValueError: An operation has `None` for gradient

So I'm trying to build a seq2seq encoder-decoder network for a translation task. I've been stuck now for a while, I have no idea how to fix the error I'm getting and would appreciate any help. My code ...
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How can I compare the grammatical complexity between two texts using their sentences dependency length?

This is a continuation to the following thread. I have two texts, common English texts such as news articles and informative texts versus a technical textbook. I want to compare the grammatical ...
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60 views

How is the 'naturalness' of speech measured?

Aside from subjective listening tests, are there other ways of measuring the 'naturalness' of speech, especially synthetic speech? Are there specific features of the speech signal that correlate well ...
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1answer
75 views

How to determine grammatical complexity using quantitative features?

I'm doing a research on defining the complexity of language used in technical documentations for technologies (libraries and modules) used in data science and machine learning engineering. And I'm ...
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85 views

How can I calculate the morphological similarity between sentences?

For my bachelor thesis i am probing various text similarity metrics for how much they incorporate different aspects of sentences. To get those aspects I use datasets that are annotated for semantic ...
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62 views

How to find the characteristics of a bunch of word Clusters?

My Motivations I'm trying to learn German and realized there's a confounding fact with the structure of German: every noun has a gender which seems unrelated to the noun itself in many cases. Unlike ...
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1answer
40 views

Is there a website, dataset, API or NLP library which can give me the English meaning, POS and conjugated forms of a word from any major language?

Is there a website or dataset which can give me the following info all at once: (1) English meaning of a word/lexeme (2) part of speech (3) all conjugated forms of the lexeme, whether verb, noun or ...
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2answers
59 views

Is it possible to test statistical significance of difference between two distance/similarity scores?

I have a corpus consisting of tweets by men and another corpus of female tweets. I was thinking of using a word embeddings approach (e.g., glove and fasttext) and examine the cosine similarity between ...
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Searching using a set of words/tags

I’m looking for some recommendations on ways to search a set of words to find the closest result. For example: When I search against news data api like google news: {Shell, oil, gas, energy, Dutch} ...
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How to find most frequent bigram letters in R [closed]

I want to find the most frequent bigram letters in a text in R. Example: text = "Hello my name is Ana" Output: "he", "ll", "om", "yn", "am", "ei" "sa" "na" Any help would be appreaicted.
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What branch in computational linguistics should I study if I am interested in machine translation?

I am graduate student and I am doing a Master of Translation and interpretation Arabic English. I need to pursue study in machine translation but I do not know where exactly to start, NLP, ...
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1answer
59 views

Non-projective tree sentences

I'm trying to generate the non-projective tree of the sentence: "A hearing is scheduled on the issue today." But with the Stanford Core NLP tool (https://corenlp.run/), I obtain a projective ...
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Why should we assign the head to a word as early as possible in shift-reduce dependency parsing?

This is about dependency parsing. The operation set of a shift-reduce parser was changed so that an arc is added as early as possible. It's claimed that "the longer a word has to wait to get assigned ...
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About Feature Engineering Tips When “discriminative algorithm care about no modeling the probability of the language”

I was going over my old NLP course slides and one of the pages is about using Structured Perceptron for tagging. It claims that because the algorithm is discriminative, it doesn't care about modeling ...
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Determining the semantic “complexity” of a grammar computationally from text

I'm working on a computational text analysis project which uses ngram data from journal articles, and I'm trying to find a way to measure some aspect of the semantic "complexity" of the grammar in one ...
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1answer
64 views

What does 'MSP' stand for in the context of Chinese parts of speech?

The Part-Of-Speech Tagging Guidelines for the PennChineseTreebank(3.0) uses several acronyms without defining them. I am a hobbyist student of Chinese linguistics as part of my study of Chinese. I ...
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53 views

Checking Definitions for Self-Consistency and Cycles

I am building a "self-contained" set of definitions, and would like to ensure that the definitions: Do not contain circular definitions (which might include other words within that cycle, not just a ...
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2answers
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Is there software (eg. desktop or mobile app) out there that helps learners learn all the sounds of the world with the IPA?

I wished there was one where the app would synthesise a sound for some phoneme X, displaying the IPA symbol at the same time, then ask the user to repeat the sound, which the software checks for the ...
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Can levels of nesting in conjunctions be unambiguously systematically parsed?

This question on NLP asks for the how of parsing, and the given answer shows how the state-of-the-art isn't at that level. But whether this is a hard problem or not is not my question: what I ask is, ...
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Similar term as phonetics, but for written text

I try to find any term that can specify a descriptive field of study that is interested in language notation. It should contain parts of written text (general text form - not only handwritten): ...
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2answers
242 views

How to find most common expressions starting with “iron”?

I want to find a list of 2-word expressions starting with iron: i.e. ironing board, iron filings, iron bridge Can you suggest a vocabulary tool for that?
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1answer
219 views

Is Hebrew a language which can be transliterated programmatically according to a small set of clear rules?

English transliteration seems to require understanding the meaning of the expression you are transliterating. Anything that requires human-level intelligence to parse the sentence for transliteration/...
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Stance Detection with Dependencies Tree and POS Tagging

I'm working on a thing at the moment and I'm trying to do what's basically written on the title of this post. Disclaimer: I'm not trying to get my job done by others. Just share ideas and gathering ...
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165 views

How to extract grammar rules from a language (grammar induction?) using a neural network like a LSTM

I have a simple artificial language. It has about 200 words and it has a grammar. I am trying to figure out how to learn that grammar, which I think is called grammar induction, then print those rules....
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Word alignment for Switchboard Dialogue Acts Corpus

I am trying to connect the dialogue acts of the Switchboard Dialogue Acts Corpus with the word alignment timing information available here. I can see how it is possible to match up every utterance ...
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4answers
300 views

Are natural languages turing complete? [closed]

Motivated by: Is there a linguistics equivalent to Turing completeness? Can be natural languages be considered turing complete? Surely on the day to day basis there is a lot of ambiguity that mainly ...
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Appropriate language models to use on dialogue/conversational language

I have used the Google LM 1B corpus in the past for testing written language, e.g. other periodicals. However, I'm now using text from an IM chat, which is conversational. I would like to measure ...
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Are there any publicly available NLG systems with controlled vocabularies?

I think it could be cool to practice a language (especially as a beginner) with NLG generated texts (OpenAI’s GPT-2 produces impressive texts) which have controlled vocabularies - for example, limited ...
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Abstractive Summarization, simple models

I should examine how different models for abstractive summarization generalize. The plan is to train them with different training data and observe how the summarizations produced are affected by this. ...
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577 views

Lexeme vs. Lemma

A lexeme to me has always been a fairly abstract entity and a lemma a concrete form that is often used to represent an lexeme. It is surprising to me, then, that the process in NLP is almost always ...
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1answer
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Multiple elongations in English Dataset

I am studying different research works in Authorship analysis from English data set. I have some features which can be a great tool for authorship analysis. Some of the common features are: Total ...
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81 views

Complex/Compund sentence to simple Spacy

I want to use Spacy and Python and convert a sentence to simple one irrespective being a complex or a compound sentence.
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64 views

Indo-European Etymological Dictionaries Online database (by Brill, Leiden University)

The Indo-European Etymological Dictionaries Online database (by Brill) already includes eleven dictionaries https://linguistics.stackexchange.com/a/6356/22504 I've read about this "database" before. ...
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Corpus of English sentences written by non-native speakers?

I am working on a hobby project which tends to help the non-native speakers figure out if the sentences they write are good enough and sounds like written by English native speakers. Any relevant info ...

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