Dependency parsing was used to extract relevant information from a review in order to predict the sentiment of a given aspect term. Different machine learning models such as Naïve Bayes, Logistic Regression, Support Vector Classifier and Neural Networks were used to make predictions. A maximum accuracy score of 0.74 on the test dataset was achie…

Syntactic expansion in CIAO ProLog for translate from ProLog to GDL

Computational grammar fragment of Brazilian Portuguese in the LFG formalism implemented in XLE

A tool for calling the API of online demo website proposed by CKIP team .

Rule-based machine translation system between Spanish and Guarani, based on a process of syntactic transfer, capable of generating synthetic bilingual sentence pairs or parsing and translating existing Spanish text into Guarani

High-Performance Implementation of Spectral Learning of Latent-Variable PCFGs (Cohen et al., 2013)

Phrase Tagset Mapping for French and English Treebanks and Its Application in Machine Translation Evaluation

Assignments and materials for the syntactic parsing class at Uppsala University.

Syntactic Parsing Algorithms

A syntactic parser uses CYK (CKY), Earley. Best fit for English, Vietnamese.

Resources for morphological analysis of Portuguese

Code for the ACL2021 paper: Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling

NLP Section of the Data Science course, NRU HSE

Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019

Deep neural models for core NLP tasks (Pytorch version)