Neural morphological disambiguation for Turkish. Implemented in DyNet
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Updated
Sep 12, 2019 - Python
Neural morphological disambiguation for Turkish. Implemented in DyNet
Project repository of the Introduction to Natural Language Processing discipline of the Computer Science course at the University of Lavras, whose task objective is to remove the so-called closed-class words: articles, prepositions, conjunctions, interjections and pronouns, as well as punctuations
computational modeling and analysis of the morphogenetic domain signalling networks regulating c. elegans embryogenesis
🧮 Counting the number of objects [👨🏫 Teacher: Киселев Александр Викторович] {5️⃣ Semester} (Computer vision)
NLP course homework, focusing on mental health text classification. Implements data preprocessing, POS filtering with Stanza, TF-IDF vectorization, and model training to detect mental health conditions.
This projects is dedicated to an University Assignment about Natural Language Processing With Freeling and Python
Inari Saami morphological analysis
Lege is a rule-based morphological analyzer for the Italian language written in Common Lisp.
Easy Sudachi CLI setup for dummies.
An isanlp wrapper for the winner solution from GramEval-2020 shared task (morphology, lemmatization, and UD syntax parsing for Russian).
All Lab assignments of NLP Course covered in IIIT
Klingon morphological analyzer and other NLP tools
A compiled mecab-ipadic-neologd dictionary for vibrato
Morphometric analyses of plants: https://knausb.github.io/morphometrics/
Telegram bot for morphological analysis of Kyrgyz
台灣語形態素解析(Taiwanese morphological parsing)
Data and code used in my final year project: Morphological Character Hierarchies: A Test of Competing Programmes of Phylogenetic Analysis
Code for docker container tchewik/isanlp_spacy
morphological box - create all combinations
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