Abstract This paper presents a linguistically uninformed computational model for animacy classification. The model makes use of word n-grams in combination with lower dimensional word embedding representations that are learned from a web-scale corpus. We compare the model to a number of linguistically informed models that use features such as dependency tags and show competitive results. We app...

In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings learned from parallel training data. A number of previous efforts have tackled this tradeoff by starting with a commitment to linguistically motivated analyses and then finding appropriate ways to soften that commitment...

The starting point for this paper is an asymmetry between overt linguistic indexicals and (alleged) covert indexicals. It has been proposed that the problem can be solved by making covert indexicals optional (Martí 2006) and that this provides a much better (linguistically respectable) account of the key phenomena than one that advocates an optional process of free (not linguistically mandated)...

This article intended to illustrate a profile of the impact of English in magazine print advertising in Iran, examining the quantitative results obtained from discourse analysis. Three issues of Khanevadeh Sabz and two issues of Zendegi Ideal, female-oriented and best-seller magazines published in 2011, were collected and a total of 261 advertisements was analyzed qualitatively. Results showed ...

Drawn from both existing research and the author’s experiences in middle schools United States, this synthesis paper will highlight key principles of culturally linguistically responsive teaching (CLRT) for multilingual learners (MLLs) who are acquiring English as an additional language. Although CLRT is regarded important framework grade MLLs’ learning, there a lack resources that provide comp...

Deep neural-network-based language models (LMs) are increasingly applied to large-scale protein sequence data predict function. However, being largely black-box and thus challenging interpret, current LM approaches do not contribute a fundamental understanding of sequence-function mappings, hindering rule-based biotherapeutic drug development. We argue that guidance drawn from linguistics, fiel...

The current Finnish core curriculum requires all teachers in basic education to be linguistically responsive. However, studies on the responsive practices used by are scarce. frequency with which (N = 820) use 21 was investigated through data that were gathered via an online survey. Based factor analysis, teachers’ formed four categories: identifying language demands, linguistic scaffolding, ex...