In different regions of Mexico, speech may have local distinctive characteristics at language levels. The article deals with the grammatical features Spanish in territory Mexican state Oaxaca. raises following questions: 1) whether Oaxaca has certain characteristics; 2) there is a formation territorial norms this or we can only talk about occasional use forms. Examples are given showing presenc...

This paper investigates to what extent grammatical functions of a word can be predicted from gaze features obtained using eye-tracking. A recent study showed that reading behavior can be used to predict coarse-grained part of speech, but we go beyond this, and show that gaze features can also be used to make more finegrained distinctions between grammatical functions, e.g., subjects and objects...

Essential grammatical information is conveyed in signed languages by clusters of events involving facial expressions and movements of the head and upper body. This poses a significant challenge for computer-based sign language recognition. Here, we present new methods for the recognition of nonmanual grammatical markers in American Sign Language (ASL) based on: (1) new 3D tracking methods for t...

We apply machine learning techniques to classify automatically a set of verbs into lexical semantic classes, based on distributional approximations of diathe-ses, extracted from a very large annotated corpus. Distributions of four grammatical features are sufficient to reduce error rate by 50% over chance. We conclude that corpus data is a usable repository of verb class information, and that c...

â â â  â â  â  abstract â  this paper examines the two most important current efforts to devise new rules binding all nations the negotiations in the wto of trade rules and the negotiations under the un framework convention on climate change to devise rules restricting the annual emissions of greenhouse gases. both negotiations have failed after several years of intensive effort. there are rema...

This paper focuses on comparing between using Support Vector Machine based ranking (SVMRank) and Bidirectional LongShort-Term-Memory (bi-LSTM) neuralnetwork based sequence labeling in building a state-of-the-art Arabic part-ofspeech tagging system. Using SVMRank leads to state-of-the-art results, but with a fair amount of feature engineering. Using bi-LSTM, particularly when combined with word ...

We apply machine learning techniques to classify automatically a set of verbs into lexical semantic classes, based on distributional approximations of diathe-ses, extracted from a very large annotated corpus. Distributions of four grammatical features are suucient to reduce error rate by 50% over chance. We conclude that corpus data is a usable repository of verb class information, and that cor...