Topic: computational-linguistics Goto Github
Some thing interesting about computational-linguistics
Some thing interesting about computational-linguistics
computational-linguistics,Data and software for building the ACL Anthology.
Organization: acl-org
Home Page: https://aclanthology.org
computational-linguistics,Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
User: adbar
computational-linguistics,Jason Riggle's chart of phonological features in JSON format + extras
User: anna-hope
computational-linguistics,Curated List: Practical Natural Language Processing done in Ruby
User: arbox
Home Page: http://rubynlp.org
computational-linguistics,Argument mapping and analysis platform
Organization: arguman
Home Page: https://arguman.org
computational-linguistics,Emotional Dialogue Acts corpus contains dialogue act labels for the multimodal conversational emotion datasets IEMOCAP and MELD. https://www.aclweb.org/anthology/2020.lrec-1.78/
User: bothe
Home Page: https://secure-robots.eu/fellows/bothe/EDAs/
computational-linguistics,Python Keyphrase Extraction module
User: boudinfl
computational-linguistics,Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
User: cbaziotis
computational-linguistics,🙊 software for creating speech recognition models.
Organization: coedl
Home Page: https://elpis.readthedocs.io/en/latest/
computational-linguistics,Massively multilingual pronunciation mining
Organization: cuny-cl
computational-linguistics,Measuring the Evolution of a Scientific Field through Citation Frames
User: davidjurgens
Home Page: http://jurgens.people.si.umich.edu/citation-function/
computational-linguistics,Python tutorials as Jupyter Notebooks for NLP, ML, AI
User: dcavar
Home Page: http://damir.cavar.me/
computational-linguistics,🎲 Efficient Java implementation of the probabilistic Earley algorithm to parse Stochastic Context Free Grammars (SCFGs)
User: digitalheir
computational-linguistics,Открытые лингвистические датасеты: тональный словарь русского языка КартаСловСент, датасет по семантике, ассоциативный граф и датасет по орфографическим ошибкам и опечаткам.
User: dkulagin
computational-linguistics,EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. :star: support NLP!
User: dmitryryumin
computational-linguistics,Evaluate your word embeddings
User: eloiz
computational-linguistics,A list of schools and researchers in computational neuroscience
User: eselkin
computational-linguistics,Deep-learning system proposed by HFL for SemEval-2022 Task 8: Multilingual News Similarity
User: geekdream-x
computational-linguistics,Yet Another (natural language) Parser
User: habeanf
computational-linguistics,Language modeling and instruction tuning for Russian
User: ilyagusev
computational-linguistics,Cantonese Linguistics and NLP
User: jacksonllee
Home Page: https://pycantonese.org
computational-linguistics,Language Acquisition Research Tools
User: jacksonllee
Home Page: https://pylangacq.org
computational-linguistics,Basic text analytics and natural language processing in Python
User: jonathandunn
computational-linguistics,Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, at Columbia University in Fall 2020, and again at UC Berkeley in Summer 2021 and 2022.
User: jonathanreeve
Home Page: https://icla2022.jonreeve.com
computational-linguistics,Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package.
Organization: languagemachines
Home Page: https://languagemachines.github.io/frog
computational-linguistics,A set of workflows for corpus building through OCR, post-correction and normalisation
Organization: languagemachines
computational-linguistics,Unicode tokeniser. Ucto tokenizes text files: it separates words from punctuation, and splits sentences. It offers several other basic preprocessing steps such as changing case that you can all use to make your text suited for further processing such as indexing, part-of-speech tagging, or machine translation. Ucto comes with tokenisation rules for several languages and can be easily extended to suit other languages. It has been incorporated for tokenizing Dutch text in Frog, our Dutch morpho-syntactic processor. http://ilk.uvt.nl/ucto --
Organization: languagemachines
Home Page: https://languagemachines.github.io/ucto
computational-linguistics,Stemmer for German
User: leonieweissweiler
Home Page: http://www.cis.lmu.de/~weissweiler/
computational-linguistics,NLP pipelines for Tagalog using spaCy
User: ljvmiranda921
computational-linguistics,Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ
User: mannefedov
computational-linguistics,Abstract Meaning Representation (AMR) tutorial slides
User: nschneid
computational-linguistics,🏷 བོད་ཏོག [pʰøtɔk̚] Tibetan word tokenizer in Python
Organization: openpecha
Home Page: https://botok.readthedocs.io/
computational-linguistics,A curated list of NLP resources for Hungarian
User: oroszgy
Home Page: https://oroszgy.gitbook.io/awesome-hungarian-nlp-resources/
computational-linguistics,OpenWordnet-PT: an open access wordnet for Portuguese
Organization: own-pt
Home Page: http://openwordnet-pt.org
computational-linguistics,Sentiment Analysis: Deep Bi-LSTM+attention model
Organization: priberam
computational-linguistics,Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.
User: proycon
Home Page: https://proycon.github.io/colibri-core
computational-linguistics,FoLiA Linguistic Annotation Tool -- Flat is a web-based linguistic annotation environment based around the FoLiA format (http://proycon.github.io/folia), a rich XML-based format for linguistic annotation. Flat allows users to view annotated FoLiA documents and enrich these documents with new annotations, a wide variety of linguistic annotation types is supported through the FoLiA paradigm.
User: proycon
computational-linguistics,FoLiA: Format for Linguistic Annotation - FoLiA is a rich XML-based annotation format for the representation of language resources (including corpora) with linguistic annotations. A wide variety of linguistic annotations are supported, making FoLiA a useful format for NLP tasks and data interchange. Note that the actual Python library for processing FoLiA is implemented as part of PyNLPl, this contains higher-level tools that use the library as well as the full documentation, validation schemas, and set definitions
User: proycon
Home Page: http://proycon.github.io/folia/
computational-linguistics,LaMachine - A software distribution of our in-house as well as some 3rd party NLP software - Virtual Machine, Docker, or local compilation/installation script
User: proycon
Home Page: https://proycon.github.io/LaMachine
computational-linguistics,PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
User: proycon
Home Page: https://pypi.python.org/pypi/PyNLPl
computational-linguistics,Russian/English/Estonian/Finnish/Swedish phonetic algorithm based on Soundex and Metaphone
User: roddar92
computational-linguistics,Statistics and accepted paper list of NLP conferences with arXiv link
User: roomylee
computational-linguistics,Библиотека для извлечения статистик из текстов на русском языке.
User: sergeyshk
Home Page: https://sergeyshk.github.io/ruTS/
computational-linguistics,:snake: Python library for n-gram models in ARPA format
User: sfischer13
computational-linguistics,Stanford CoreNLP in idiomatic Clojure.
User: simongray
computational-linguistics,Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.
User: sismetanin
computational-linguistics,Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
User: sismetanin
computational-linguistics,This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
User: tiesdekok
computational-linguistics,Statistical NLG for spoken dialogue systems
Organization: ufal-dsg
computational-linguistics,🥛turkic morphology project
Organization: yogurt-cultures
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