Datasets:

WINGNUS
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ACL-OCL

	{
	"paper_id": "P90-1006",
	"header": {
	"generated_with": "S2ORC 1.0.0",
	"date_generated": "2023-01-19T09:39:11.226875Z"
	},
	"title": "MEMORY CAPACITY AND SENTENCE PROCESSING",
	"authors": [
	{
	"first": "Edward",
	"middle": [],
	"last": "Gibson",
	"suffix": "",
	"affiliation": {
	"laboratory": "",
	"institution": "Carnegie Mellon University Pittsburgh",
	"location": {
	"postCode": "15213-3890",
	"region": "PA"
	}
	},
	"email": "[email protected]"
	}
	],
	"year": "",
	"venue": null,
	"identifiers": {},
	"abstract": "The limited capacity of working memory is intrinsic to human sentence processing, and therefore must be addressed by any theory of human sentence processing. This paper gives a theory of garden-path effects and processing overload that is based on simple assumptions about human short term memory capacity.",
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	"abstract": [
	{
	"text": "The limited capacity of working memory is intrinsic to human sentence processing, and therefore must be addressed by any theory of human sentence processing. This paper gives a theory of garden-path effects and processing overload that is based on simple assumptions about human short term memory capacity.",
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	"text": "The limited capacity of working memory is intrinsic to human sentence processing, and therefore must be addressed by any theory of human sentence processing. I assume that the amount of short term memory that is necessary at any stage in the parsing process is determined by the syntactic, semantic and pragmatic properties of the structure(s) that have been built up to that point in the parse. A sentence becomes unacceptable for processing reasons if the combination of these properties produces too great a load for the working memory capacity (cf. Frazier 1985) :",
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	"start": 553,
	"end": 566,
	"text": "Frazier 1985)",
	"ref_id": "BIBREF10"
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	"section": "INTRODUCTION",
	"sec_num": "1"
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	{
	"text": "(1) n E Aixi > K i=1",
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	"section": "INTRODUCTION",
	"sec_num": "1"
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	{
	"text": "where:",
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	"section": "INTRODUCTION",
	"sec_num": "1"
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	{
	"text": "K is the maximum allowable processing load (in processing load units or PLUs),",
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	"sec_num": "1"
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	"text": "xl is the number of PLUs associated with property i, n is the number of properties, Ai is the number of times property i appears in the structure in question. Furthermore, the assumptions described above provide a simple mechanism for the explanation of common psycholinguistic phenomena such as garden-path effects and preferred readings for ambiguous sentences. Following Fodor (1983) , I assume that the language processor is an automatic device that uses a greedy algorithm: only the best of the set of all compatible representations for an input string are locally maintained from word to word. One way to make this idea explicit is to assume that restrictions on memory allow at most one representation for an input string at any time (see, for example, Frazier and Fodor 1978; Frazier 1979; Marcus 1980; Berwick and Weinberg 1984; Pritchett 1988 ). This hypothesis, commonly called the serial 39 hypothesis, is easily compatible with the above view of processing load calculation: given a choice between two different representations for the same input string, simply choose the representation that is associated with the lower processing load.",
	"cite_spans": [
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	"start": 374,
	"end": 386,
	"text": "Fodor (1983)",
	"ref_id": "BIBREF7"
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	"start": 760,
	"end": 783,
	"text": "Frazier and Fodor 1978;",
	"ref_id": "BIBREF12"
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	"start": 784,
	"end": 797,
	"text": "Frazier 1979;",
	"ref_id": "BIBREF9"
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	"start": 798,
	"end": 810,
	"text": "Marcus 1980;",
	"ref_id": "BIBREF19"
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	"start": 811,
	"end": 837,
	"text": "Berwick and Weinberg 1984;",
	"ref_id": "BIBREF1"
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	"start": 838,
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	"text": "Pritchett 1988",
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	],
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	"sec_num": "1"
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	"text": "The serial hypothesis is just one way of placing local memory restrictions on the parsing model, however. In this paper I will present an alternative formulation of local memory restrictions within a parallel framework.",
	"cite_spans": [],
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	"sec_num": "1"
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	"text": "There is a longstanding debate in the psycholinguistic literature as to whether or not more than one representation for an input can be maintained in parallel (see, for example, Kurtzman (1985) or Gorrell (1987) for a history of the debate). It turns out that the par-aUel view appears to handle some kinds of data more directly than the serial view, keeping in mind that the data are often controversial. For example, it is difficult to explain in a serial model why relative processing load increases as ambiguous input is encountered (see, for example, Fodor et al. 1968; Rayner et al. 1983; GorreU 1987) . Data that is normally taken to be support for the serial hypothesis includes garden-path effects and the existence of preferred readings of ambiguous input. However, as noted above, limiting the number of allowable representations is only one way of constraining parallelism so that these effects can also be accounted for in a parallel framework.",
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	{
	"start": 178,
	"end": 193,
	"text": "Kurtzman (1985)",
	"ref_id": "BIBREF18"
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	"start": 197,
	"end": 211,
	"text": "Gorrell (1987)",
	"ref_id": "BIBREF17"
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	{
	"start": 556,
	"end": 574,
	"text": "Fodor et al. 1968;",
	"ref_id": null
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	{
	"start": 575,
	"end": 594,
	"text": "Rayner et al. 1983;",
	"ref_id": "BIBREF21"
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	"start": 595,
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	"text": "GorreU 1987)",
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	"text": "As a result of the plausibility of a parallel model, I propose to limit the difference in processing load that may be present between two structures for the same input, rather than limit the number of structures allowed in the processing of an input (cf. Gibson 1987; Gibson and Clark 1987; Clark and Gibson 1988) . Thus I assume that the human parser prefers one structure over another when the processing load (in PLUs) associated with maintaining the first is markedly lower than the processing load associated with maintaining the second. That is, I assume there exists some arithmetic preference quantity P corresponding to a processing load, such that if the processing loads associated with two representations for the same string differ by load P, then only the representation associated with the smaller of the two loads is pursued. 1 Given the existence of a lit is possible that the preference factor is a geometric one rather than an arithmetic one. Given a geometric preference factor, one structure is preferred over another when the ratio of their processing loads reaches a threshold value. I explore only the arithmetic possibility in this paper; it is possible that the geometric alternative gives results that are as good, although I leave this issue for future research. preference factor P, it is easy to account for garden-path effects and preferred readings of ambiguous sentences. Both effects occur because of a local ambiguity which is resolved in favor of one reading. In the case of a garden-path effect, the favored reading is not compatible with the whole sentence. Given two representations for the same input string that differ in processing load by at least the factor P, only the less computationally expensive structure will be pursued. If that structure is not compatible with the rest of the sentence and the discarded structure is part of a successful parse of the sentence, a garden-path effect results. If the parse is successful, but the discarded structure is compatible with another reading for the sentence, then only a preferred reading for the sentence has been calculated. Thus if we know where one reading of a (temporarily) ambiguous sentence becomes the strongly preferred reading, we can write an inequality associated with this preference:",
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	"start": 255,
	"end": 267,
	"text": "Gibson 1987;",
	"ref_id": "BIBREF14"
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	"start": 268,
	"end": 290,
	"text": "Gibson and Clark 1987;",
	"ref_id": "BIBREF16"
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	"start": 291,
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	"text": "Clark and Gibson 1988)",
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	"sec_num": "1"
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	{
	"text": "(",
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	"text": "2) n B ZA,x,-Z ,x, i=1 i=1",
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	"text": "where: P is the preference factor (in PLUs),",
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	"sec_num": "1"
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	"text": "xi is the number of PLUs associated with property i, n is the number of properties, Ai is the number of times property i appears in the unpreferred structure, Bz is the number of times property i appears in the preferred structure.",
	"cite_spans": [],
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	"section": "INTRODUCTION",
	"sec_num": "1"
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	"text": "Given a parsing algorithm together with n properties and their associated processing loads x~ ...xn, we may write inequalities having the form of (1) and (2) corresponding to the processing load at various parse states. An algebraic technique called iinearprogramruing can then be used to solve this system of linear inequalities, giving an n-dimensional space for the values ofxi as a solution, any point of which satisfies all the inequalities.",
	"cite_spans": [],
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	"section": "INTRODUCTION",
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	"text": "In this paper I will concentrate on syntactic properties: 2 in particular, I present two properties based on the 0-Criterion of Government and Binding Theory (Chomsky 1981) . 3 It will be shown that these properties, once associated with processing loads, predict a large array of garden-path effects. Furthermore, it is demonstrated that these properties also make de-2Note that I assume that there also exist semantic and pragmatic properties which are associated with significant processing loads, but which axe not discussed here. 3In another syntactic theory, similar properties may be obtained from the principles that correspond to the 0-Criterion in that theory. For example, the completeness and coherence conditions of Lexical Functional Grammar (Bresnan 1982) would derive properties similar to those derived from the 0-Criterion. The same empirical effects should result from these two sets of properties. sirable predictions with respect to unacceptability due to memory capacity overload.",
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	{
	"start": 158,
	"end": 172,
	"text": "(Chomsky 1981)",
	"ref_id": null
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	"start": 756,
	"end": 770,
	"text": "(Bresnan 1982)",
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	"text": "The organization of this paper is given as follows: first, the structure of the underlying parser is described; second, the two syntactic properties are proposed; third, a number of locally ambiguous sentences, including some garden-paths, are examined with respect to these properties and a solution space for the processing loads of the two properties is calculated; fourth, it is shown that this space seems to make the right predictions with respect to processing overload; conclusions are given in the final section.",
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	"text": "The parser to which the memory limitation constraints apply must construct representations in such a way so that incomplete input will be associated with some structure. Furthermore, the parsing algorithm must, in principle, allow more than one structure for an input string, so that the general constraints described in the previous section may apply to restrict the possibilities. The parsing model that I will assume is an extension of the model described in Clark and Gibson (1988) . When a word is input, representations for each of its lexical entries axe built and placed in the buffer, a one cell data structure that holds a set of tree structures. The parsing model contains a second data structure, the stack-set, which contains a set of stacks of buffer cells.",
	"cite_spans": [
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	"start": 462,
	"end": 485,
	"text": "Clark and Gibson (1988)",
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	"section": "THE UNDERLYING PARSER",
	"sec_num": "2"
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	"text": "The parser builds trees in parallel based on possible attachments made between the buffer and the top of each stack in the stack-set. The buffer and stack-set are formally defined in (3) and (4).",
	"cite_spans": [],
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	"section": "THE UNDERLYING PARSER",
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	"text": "(3) A buffer cell is a set of structures { SI,...,S, },",
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	"text": "where each Si represents the same segment of the input string. The buffer contains one buffer cell. (4) The stack-set is a set of stacks of buffer cells, where each stack represents the same segment of the input string: ",
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	"text": "40 { ( { S1,1,1,S1,1,2, ...,Sl,l,nl,l }, { S1,2,1, S1,2,2,..., S1,2,nt,2 } ....",
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	"section": "THE UNDERLYING PARSER",
	"sec_num": "2"
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	"text": "where: p is the number of stacks; ml is the number of buffer cells in stack i; and nij is the number of tree structures in the jth buffer cell of stack i.",
	"cite_spans": [],
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	"eq_spans": [],
	"section": "( .... } ) }",
	"sec_num": null
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	"text": "The motivation for these data structures is given by the desire for a completely unconstrained parsing algorithm upon which constraints may be placed: this algorithm should allow all possible parser operations to occur at each parse state. There are exactly two parser operations: attaching a node to another node and pushing a buffer cell onto a stack. In order to allow both of these operations to be performed in parallel, it is necessary to have the given data structures: the buffer and the stack-set. For example, consider a parser state in which the buffer is non-empty and the stack-set contains only a single cell stack:",
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	"section": "( .... } ) }",
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	"text": "(5) Stack-set: { { { $1, ...,Sn } } } Buffer: { Bt, ...,Bin }",
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	"section": "( .... } ) }",
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	"text": "Suppose that attachments are possible between the buffer and the single stack cell. The structures that result from these attachments will take up a single stack cell. Let us call these resultant structures A1, Az, ...,Ak. If all possible operations are to take place at this parser state, then the contents of the current buffer must also be pushed on top of the current stack. Thus two stacks, both representing the same segment of the input string will result:",
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	"section": "( .... } ) }",
	"sec_num": null
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	"text": "(6) Stack 1: { { {at,...,ak } } } Stack 2: { { { B1, ...,Bin } { St, ...",
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	"section": "( .... } ) }",
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	"text": "Since these two stacks break up the same segment of the input string in different ways, the stack-set data structure is necessary.",
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	"section": ",S, } } }",
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	"text": "DERIVABLE FROM THE 0-CRITERION Following early work in linguistic theory, I distinguish two kinds of categories: functional categories and thematic or content categories (see, for example, Fukui and Speas (1986) and Abney (1987) and the references cited in each). Thematic categories include nouns, verbs, adjectives and prepositions; functional categories include determiners, complementizers, and inflection markers. There are a number of properties that distinguish functional elements from thematic elements, the most crucial being that functional elements mark grammatical or relational features while thematic elements pick out a class of objects or events. I will assume as a working hypothesis that only those syntactic properties that have to do with the thematic elements of an utterance are relevant to preferences and overload in processing. One principle of syntax that is directly involved with the thematic content of an utterance in a Government-Binding theory is the 0-Criterion:",
	"cite_spans": [
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	"start": 189,
	"end": 211,
	"text": "Fukui and Speas (1986)",
	"ref_id": "BIBREF13"
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	"start": 216,
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	"text": "Abney (1987)",
	"ref_id": "BIBREF0"
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	"sec_num": "3"
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	"text": "(7) Each argument bears one and only one 0-role (thematic role) and each 0-role is assigned to one and only one argument (Chomsky 1981:36) .",
	"cite_spans": [
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	"start": 121,
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	"text": "(Chomsky 1981:36)",
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	"text": "I hypothesize that the human parser attempts to lo-caUy satisfy the 0-Criterion whenever possible. Thus given a thematic role, the parser prefers to assign that role, and given a thematic element, the parser prefers to assign a role to that element. These assumptions are made explicit as the following properties: (8) The Property of Thematic Reception (PTR):",
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	"text": "Associate a load of XrR PLUs of short term memory to each thematic element that is in a position that can receive a thematic role in some co-existing structure, but whose 0-assigner is not unambiguously identifiable in the structure in question. 9 (Chomsky 1986) .",
	"cite_spans": [
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	"start": 248,
	"end": 262,
	"text": "(Chomsky 1986)",
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	"text": "51 assume some form of hypothesis-driven node projection so that noun phrases are projected to those categories that they may specify. Motivation for this kind of projection algorithm is given by the processing of Dutch (Frazier 1987) and the processing of certain English noun phrase constructions (Gibson 1989 ).",
	"cite_spans": [
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	"start": 220,
	"end": 234,
	"text": "(Frazier 1987)",
	"ref_id": "BIBREF11"
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	"start": 299,
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	"text": "(Gibson 1989",
	"ref_id": "BIBREF15"
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	"text": "there is no difficulty in processing sentence (10), the load difference between these two structures cannot be greater than P PLUs, the preference factor in inequality (2). Thus the inequality in (12) is obtained:",
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	"text": "(12) xrR < P",
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	"text": "Since the load difference between the two structures is not sufficient to cause a strong preference, both structures are maintained. Note that this is an important difference between the theories presented here and the theory presented in Frazier and Fodor (1978) , Frazier (1979) and Pritchett (1988) . In each of these theories, only one representation can be maintained, so that either (lla) or (llb) would be preferred. In order to account for the lack of difficulty in parsing (10), Frazier and Pritchett both assume that reanalysis in certain situations is not expensive. No such stipulation is necessary in the framework given here: it is simply assumed that all reanalysis is expensive. 6",
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	"start": 239,
	"end": 263,
	"text": "Frazier and Fodor (1978)",
	"ref_id": "BIBREF12"
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	"start": 266,
	"end": 280,
	"text": "Frazier (1979)",
	"ref_id": "BIBREF9"
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	"start": 285,
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	"text": "Pritchett (1988)",
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	"section": "TWO SYNTACTIC PROPERTIES",
	"sec_num": "3"
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	{
	"text": "Consider now sentence (13) with respect to the Properties of Thematic Assignment and Reception:",
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	"text": "(13) John expected her mother to like Fred.",
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	"text": "Consider the state of the parse of (13) after the word her has been processed. In one representation the NP her will be attached as the NP complement of expected:",
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	"sec_num": "3"
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	{
	"text": "(14) [tp [up John ] [vp expected Lvv her ]]]",
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	"text": "In this representation there is no load associated with either of the Properties of Thematic Assignment or Reception since no thematic objects need thematic roles and no thematic roles are left unassigned. In another representation the NP her is the specifier of a hypothesized NP which is pushed onto a substack containing the other reading of the verb expected:",
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	"section": "TWO SYNTACTIC PROPERTIES",
	"sec_num": "3"
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	"text": "(15){ { [tp [ueJohn] [vpexpected [tp e]]] } { [~p ~p her ] ] } }",
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	"text": "This representation is associated with at least xra PLUs since the verb expected has a thematic role to assign. However, no load is associated with the genitive NP specifier her since its a-assigner, although not yet present, is unambiguously identified as the head of the NP to follow (Chomsky (1986a) ). 7 Thus the total load associated with (15) is xra PLUs. Since there is no difficulty in processing sentence (10), the load difference 6See Section 4.1 for a brief comparison between the model proposed here and serial models such as those proposed by Frazier and Fodor (1978) and Pritchett (1988) . 7Note that specifiers do not always receive their thematic roles from the categories which they specify. For example, a non-genitive noun phrase may specify any major category. In particular, it may specify an IP or a CP. But the specifier of these categories may receive its thematic role through chain formation from a distant 0-assigner, as in (16): (16) John appears to like beans.",
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	"start": 286,
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	"text": "(Chomsky (1986a)",
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	{
	"text": "Note that there is no NP that corresponds to (16) (Chomsky (1970) ] At this point the argument attachment is strongly preferred. However, this attachment turns out to be incompatible with the rest of the sentence. When the word mouth is encountered, no pragmatically coherent structure can be built, since tables are not normally found in mouths. Thus a garden-path effect results. Consider the parse state depicted in (20) with respect to the Properties of Thematic Assignment and Reception. The load associated with the structure resulting from argument attachment is XrA PLUs since, although the agrid belonging to the verbput is filled, the thematic role assigned by the preposition on remains unassigned. On the other hand, the load associated with the modifier attachment is 2 *XrA +xrR PLUs since 1) both the verb put and the preposition on have thematic roles that need to be assigned and 2) the PP headed by on receives a thematic role in the argument attachment structure, while it receives no such role in the structure under consideration. Thus the difference between the loads associated with the two structures is XrA + XrR PLUs. Since the argument attachment structure is strongly preferred over the other structure, I hypothesize that this load is greater than P PLUs: (21) Xra + XTR > P Now consider the the well-known garden-path sentence in (22): (22) # The horse raced past the barn fell.",
	"cite_spans": [
	{
	"start": 50,
	"end": 65,
	"text": "(Chomsky (1970)",
	"ref_id": "BIBREF3"
	}
	],
	"ref_spans": [],
	"eq_spans": [],
	"section": "TWO SYNTACTIC PROPERTIES",
	"sec_num": "3"
	},
	{
	"text": "The structure for the input the horse raced is ambiguous between at least the two structures in (23):",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "TWO SYNTACTIC PROPERTIES",
	"sec_num": "3"
	},
	{
	"text": "(23) a. be bvp the horse ] [vp raced ]] b. bp Lvp the Lv, Lv, horse/] [cp Oi raced ] ]] ] Structure (23a) has no load associated with it due to either the PTA or the PTR. Crucially note that the verb raced has an intransitive reading so that no load is required via the Property of Thematic Assignment. On the other hand, structure (23b) requires a load of 2 \u2022 xrR PLUs since 1) the noun phrase the horse is in a position that can receive a thematic role, but currently does not and 2) the operator Oi is in a position that may be associated with a thematic role, but is not yet sI will prefix sentences that are difficult to parse because of memory limitations with the symbol \"#\". Hence sentences that are unacceptable due to processing overload will be prefixed with \"#\", as will be garden-path sentences. associated with one. 9 Thus the difference between the processing loads of structures (23a) and (23b) is 2 \u2022 xrR PLUs. Since this sentence is a strong gardenpath sentence, it is hypothesized that a load difference of 2 \u2022 xrR PLUs is greater than the allowable limit, P PLUs: (24) 2 \u2022 xrR > P A surprising effect occurs when a verb which optionally subcategorizes for a direct object, like race, is replaced by a verb which obligatorily subcategorizes for a direct object, likefind: (25) The bird found in the room was dead.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "TWO SYNTACTIC PROPERTIES",
	"sec_num": "3"
	},
	{
	"text": "Although the structures and local ambiguities in (25) and (22) are similar, (22) causes a garden-path effect while, surprisingly, (25) does not. To determine why (25) is not a garden-path sentence we need to examine the local ambiguity when the word found is read: Thus the difference between the processing loads of structures (26a) and (26b) is 2 xrR -XTA PLUs. Since no garden-path effect results in (25), I hypothesize that this load is less than or equal to P PLUs: (27) 2 xrR -XTA <_ P Furthermore, these results correctly predict that sentence (28) is not a garden-path sentence either: (28) The bird found in the room enough debris to build a nest.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "TWO SYNTACTIC PROPERTIES",
	"sec_num": "3"
	},
	{
	"text": "Hence we have the following system of inequalities: (29) a. xrR < P b. XTA < P C. XTA \"4-XTR > P d. 2XTR > P e. 2 XTR --XrA < P This system of inequalities is consistent. Thus it identifies a particular solution space. This solution space is depicted by the shaded region in Figure 1 .",
	"cite_spans": [],
	"ref_spans": [
	{
	"start": 278,
	"end": 286,
	"text": "Figure 1",
	"ref_id": "FIGREF2"
	}
	],
	"eq_spans": [],
	"section": "TWO SYNTACTIC PROPERTIES",
	"sec_num": "3"
	},
	{
	"text": "Note that, pretheoretically, there is no reason for this system of inequalities to be consistent. It could have been that the parser state of one of the example sentences forced an inequality that contradicted some previously obtained inequality. This situation would have had one of three implications: theproperties being considered might be incorrect; the properties being considered might be incomplete; or the whole approach 9In fact, this operator will be associated with a thematic role as soon as a gap-positing algorithm links it with the object of the passive participle raced. However, when the attachment is initially made, no such link yet exists: the operator will initially be unassociated with a thematic role. might be incorrect. Since this situation has not yet been observed, the results mutually support one another.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "TWO SYNTACTIC PROPERTIES",
	"sec_num": "3"
	},
	{
	"text": "Because serial models of parsing can maintain at most one representation for any input string, they have difficulty explaining the lack of garden-path effects in sentences like (10) and (25): (10) John expected Mary to like Fred. (25) The bird found in the room was dead.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "As a result of this difficulty Pritchett (1988) proposes the Theta Reanalysis Constraint:l\u00b0 (30) Theta Reanalysis Constraint (TRC): Syntactic reanalysis which interprets a 0-marked constituent as outside its current 0-Domain and as within an existing 0-Domain of which it is not a member is costly.",
	"cite_spans": [
	{
	"start": 31,
	"end": 47,
	"text": "Pritchett (1988)",
	"ref_id": "BIBREF20"
	}
	],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "(31) 0-Domain: c~ is in the 7 0-Domain of/3 iff c~ receives the 7 0-role from/3 or a is dominated by a constituent that receives the 3' 0-role from/3.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "As a result of the Theta Reanalysis Constraint, the necessary reanalysis in each of (10) and (25) is not expensive, so that no garden-path effect is predicted. Furthermore, the reanalysis in sentences like (22) and (19) violates the TRC, so that the garden-path effects are predicted.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "However, there are a number of empirical problems with Pritchett's theory. First of all, it turns out that the l\u00b0Frazier and Rayner (1982) make a similar stipulation to account for problems with the theory of Frazier and Fodor (1978) . However, their account fails to explain the lack of garden-path effect in (25). See Pritcheu (1988) for a description of further problems with their analysis.",
	"cite_spans": [
	{
	"start": 209,
	"end": 233,
	"text": "Frazier and Fodor (1978)",
	"ref_id": "BIBREF12"
	}
	],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "Theta Reanalysis Constraint as defined in (30) incorrectly predicts that the sentences in (32) do not induce garden-path effects: (32) a. # The horse raced past the barn was failing.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "b. # The dog walked to the park seemed small. c. # The boat floated down the river was a canoe. For example, consider (32a). When the auxiliary verb was is encountered, reanalysis is forced. However, the auxiliary verb was does not have a thematic role to assign to its subject, the dog, so the TRC is not violated. Thus Pritchett's theory incorrectly predicts that these sentences do not cause garden-path effects.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "Other kinds of local ambiguity that do not give the human parser difficulty also pose a challenge to serial parsers. Marcus (1980) gives the sentences in (33) as evidence that any deterministic parser must be able to look ahead in the input string: 11 (33) a. Have the boys taken the exam today?",
	"cite_spans": [
	{
	"start": 117,
	"end": 130,
	"text": "Marcus (1980)",
	"ref_id": "BIBREF19"
	}
	],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "b. Have the boys take the exam today. Any serial parser must be able to account for the lack of difficulty with either of the sentences in (33). It turns out that the Theta Reanalysis Constraint does not help in cases like these: no matter which analysis is pursued first, reanalysis will violate the TRC.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "A COMPARISON WITH SERIAL MODELS",
	"sec_num": "4.1"
	},
	{
	"text": "Given the Properties of Thematic Assignment and Reception and their associated loads, we may now explain many more garden-path effects. Consider (34): (34) # The Russian women loved died. Up until the last word, this sentence is ambiguous between two readings: one where loved is the matrix verb; and the other where loved heads a relative clause modifier of the noun Russian. The strong preference for the matrix verb interpretation of the word loved can be easily explained if we examine the possible structures upon reading the word women: and 2) the operator in the specifier position of the modifying Comp phrase can be associated with a thematic role, but currently is not linked to one. Since the difference between these loads is 2 \u2022 XTR, a garden-path effect results.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "EMPIRICAL SUPPORT: FURTHER GARDEN-PATH EFFECTS",
	"sec_num": "4.2"
	},
	{
	"text": "Consider now (36): (36) # John told the man that Mary kissed that Bill saw Phil.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "EMPIRICAL SUPPORT: FURTHER GARDEN-PATH EFFECTS",
	"sec_num": "4.2"
	},
	{
	"text": "11Note that model that I am proposing here is a parallel model, and therefore is nondeterministic.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "EMPIRICAL SUPPORT: FURTHER GARDEN-PATH EFFECTS",
	"sec_num": "4.2"
	},
	{
	"text": "When parsing sentence (36), people will initially analyze the CP that Mary kissed unambiguously as an argument of the verb told. It turns out that this hypothesis is incompatible with the rest of the sentence, so that a garden-path effect results. In order to see how the garden-path effect comes about, consider the parse state which occurs after the word Mary is read: 37 Structure (37a) requires no load by the PTA since the 0-grid of the only 0-assigner is filled with structures that each contain thematic elements. However, the noun phrase Mary requires XrR PLUs by the Property of Thematic Reception since this NP is in a thematic position but does not yet receive a thematic role. Thus the total load associated with structure (37a) is xrR PLUs. Structure (37b), on the other hand, requires a load OfXTA +2*XTR since 1) the thematic role PROPOSI-TION is not yet assigned by the verb told; 2) the operator in the specifier position of the CP headed by that is not linked to a thematic role; and 3) the NP Mary is in thematic position but does not receive a thematic role yet. Thus the load difference is xrA +XrR PLUs, enough for the more expensive one to be dropped. Thus only structure (37a) is maintained and a garden-path effect eventually results, since this structure is not compatible with the entire sentence. Hence the Properties of Thematic Assignment and Reception make the correct predictions with respect to (36).",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "44",
	"sec_num": null
	},
	{
	"text": "Consider the garden-path sentence in (38):",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "44",
	"sec_num": null
	},
	{
	"text": "(38) # John gave the boy the dog bit a dollar.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "44",
	"sec_num": null
	},
	{
	"text": "This sentence causes a garden-path effect since the noun phrase the dog is initially analyzed as the direct object of the verb gave rather than as the subject of a relative clause modifier of the NP the boy. This gardenpath can be explained in the same way as previous examples. Consider the state of the parse after the NP the dog has been processed:",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "44",
	"sec_num": null
	},
	{
	"text": "(39) a. be [We John ] [vP Iv, [v While structure (39a) requires no load at this stage, structure (39b) requires 2 \u2022 xrR + XrA PLUs since 1) one thematic role has not yet been assigned by the verb gave; 2) the operator in the specifier position of the CP modifying boy is not linked to a thematic role; and 3) the NP the dog is in a thematic position but does not yet receive a thematic role. Thus structure (39a) is strongly preferred and a garden-path effect results.",
	"cite_spans": [
	{
	"start": 11,
	"end": 32,
	"text": "[We John ] [vP Iv, [v",
	"ref_id": null
	}
	],
	"ref_spans": [],
	"eq_spans": [],
	"section": "44",
	"sec_num": null
	},
	{
	"text": "The garden-path effect in (40) can also be easily explained in this framework:",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "44",
	"sec_num": null
	},
	{
	"text": "(40) # The editor authors the newspaper hired liked laughed.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "44",
	"sec_num": null
	},
	{
	"text": "Consider the state of the parse of (40) after the word authors has been read: Structure (41b), on the other hand, includes three noun phrases, each of which is in a position that may be linked to a thematic role but currently is not linked to any 0-role. Thus the load associated with structure (41b) is 3 \u2022 XrR PLUs. Since the difference between the loads associated with structures (41b) and (41a) is so high (3 \u2022 XrR --XTA PLUs), only the inexpensive structure, structure (41a), is maintained.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "44",
	"sec_num": null
	},
	{
	"text": "The Properties of Thematic Assignment and Reception also give a plausible account of the unacceptability of sentences with an abundance of center-embedding.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "PROCESSING OVERLOAD",
	"sec_num": "5"
	},
	{
	"text": "Recall that I assume that a sentence is unacceptable because of short term memory overload if the combination of memory associated with properties of the structures built at some stage of the parse of the sentence is greater than the allowable processing load K. Consider (42): (42) # The man that the woman that the dog bit likes eats fish.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "PROCESSING OVERLOAD",
	"sec_num": "5"
	},
	{
	"text": "Having input the noun phrase the dog the structure for the partial sentence is as follows: In this representation there are three lexical noun phrases that need thematic roles but lack them. Furthermore, there are two non-lexical NPs, operators, that are in positions that may prospectively be linked to thematic roles. Thus, under my assumptions, the load associated with this representation is at least 5 \u2022 xrR PLUs. I assume that these properties are responsible for the unacceptability of this sentence, resulting in the inequality in (44): (44) 5 * xTR > K Note that sentences with only one relative clause modifying the subject are acceptable, as is exemplified in (45) (45) The man that the woman likes eats fish.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "PROCESSING OVERLOAD",
	"sec_num": "5"
	},
	{
	"text": "Since (45) is acceptable, its load is below the maximum at all stages of its processing. After processing the noun phrase the woman in (45), there are three noun phrases that currently lack 0-roles but may be linked to 0-roles as future input appears. Thus we arrive at the inequality in (46): (46) 3 \u2022 XTR <_ K 45",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "PROCESSING OVERLOAD",
	"sec_num": "5"
	},
	{
	"text": "Thus I assume that the maximum processing load that people can handle lies somewhere above 3 \u2022 xrR PLUs but somewhere below 5 \u2022 xrR PLUs. Although these data are only suggestive, they clearly make the right kinds of predictions. Future research should establish the boundary between acceptability and unacceptability more precisely.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "PROCESSING OVERLOAD",
	"sec_num": "5"
	},
	{
	"text": "Since the structural properties that are used in the formarion of the inequalities are independently motivated, and the system of inequalities is solvable, the theory of human sentence processing presented here makes strong, testable predictions with respect to the processability of a given sentence. Furthermore, the success of the method provides empirical support for the particular properties used in the formation of the inequalities. Thus a theory of PLUs, the preference factor P and the overload factor K provides a unified account of 1) acceptability and relative acceptability; 2) garden-path effects; and 3) preferred readings for ambiguous input.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "CONCLUSIONS",
	"sec_num": "6"
	}
	],
	"back_matter": [
	{
	"text": "I would like to thank Robin Clark, Dan Everett, Rick Kazman, Howard Kurtzman and Eric Nyberg for comments on earlier drafts of this work. All remaining errors are my own.",
	"cite_spans": [],
	"ref_spans": [],
	"eq_spans": [],
	"section": "ACKNOWLEDGEMENTS",
	"sec_num": "7"
	}
	],
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	"FIGREF1": {
	"uris": null,
	"type_str": "figure",
	"text": "(26) a. be Me the bird ] Ire Iv, Iv found ] [He ] ]]] b. [m Lvt, the ~, ~, bird/] [c/, Oi found ] ]] ] The crucial difference between the verb found and the verb raced is that found requires a direct object, while raced does not. Since the 0-grid of the verb found is not filled in structure (26a), this representation is associated with xrA PLUs of memory load. Like structure (23b), structure (26b) requires 2 \u2022 xrR PLUs.",
	"num": null
	},
	"FIGREF2": {
	"uris": null,
	"type_str": "figure",
	"text": "The Solution Space for the Inequalities in (29) 43",
	"num": null
	},
	"TABREF0": {
	"html": null,
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	"content": "<table><tr><td colspan=\"2\">Thus the Property of Thematic Reception doesn't apply</td></tr><tr><td colspan=\"2\">to functional categories, whether or not they are in</td></tr><tr><td colspan=\"2\">positions that receive thematic roles. Similarly, if a</td></tr><tr><td colspan=\"2\">thematic role is assigned to a functional category, the</td></tr><tr><td colspan=\"2\">Property of Thematic Assignment does not notice until</td></tr><tr><td colspan=\"2\">there is a thematic element inside this constituent.</td></tr><tr><td colspan=\"2\">4 AMBIGUITY AND THE</td></tr><tr><td>PROPERTIES</td><td>OF THEMATIC</td></tr><tr><td colspan=\"2\">ASSIGNMENT AND RECEPTION</td></tr><tr><td colspan=\"2\">Consider sentence (10) with respect to the Properties</td></tr><tr><td colspan=\"2\">of Thematic Assignment and Reception:</td></tr><tr><td>(10) processed:</td><td/></tr><tr><td colspan=\"2\">(11) a. [re Lvt, John ] [v? expected ~e Mary ]]]</td></tr><tr><td colspan=\"2\">b. [tp [~p John ] [vp expected [tp Lvp Mary ] ]]]</td></tr><tr><td colspan=\"2\">In (1 la), the NP signed to nodes that contain thematic elements. Since</td></tr><tr><td colspan=\"2\">4Following current notation in GB Theory, IP (Inflection</td></tr><tr><td colspan=\"2\">Phrase) = S and CP (Complementizer Phrase) = S'</td></tr><tr><td>41</td><td/></tr></table>",
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	"text": "The Property of Thematic Assignment (PTA):Associate a load of XTA PLUs of short term memory to each thematic role that is not assigned to a node containing a thematic element.Note that the Properties of Thematic Assignment and Reception are stated in terms of thematic elements. John expected Mary to like Fred.The verb expect is ambiguous: either it takes an NP complement as in the sentence John expected Mary or it takes an IP complement as in (10). 4 Consider the state of the parse of (10) after the word Mary has been Mary is attached as the NP complement of expected.In this representation there is no load associated with either of the Properties of Thematic Assignment or Reception since no thematic elements need thematic roles and no thematic roles are left unassigned. In (llb), the NP Mary is the specifier of a hypothesized IP node which is attached as the complement of the other reading of expected. 5 This representation is associated with at least xrR PLUs since the NP Mary is in a position that can be associated with a thematic role, the subject position, but whose 0-assigner is not yet identifiable. No load is associated with the Property of Thematic Assignment, however, since both thematic roles of the verb expected are as-"
	},
	"TABREF5": {
	"html": null,
	"num": null,
	"content": "<table/>",
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	"text": "(41) a. [o, bop the editor ] [w, Iv, Iv authors ] bee ] ]]] b. [n, ~e the be, be, editor/] [cp Lvp Oi ] [11, Me authors ] ]] ]]] The word authors is ambiguous between nominal and verbal interpretations. The structure including the verbal reading is associated with XrA PLUs since the 0-grid for the verb authors includes an unassigned role."
	},
	"TABREF6": {
	"html": null,
	"num": null,
	"content": "<table><tr><td>]]]</td></tr></table>",
	"type_str": "table",
	"text": "[o, [top the [to, [/\u00a2, mani ] [o, ~p Oi ] that [tP [s,P the [~, ~, womanj ] [cP [NP Oj ] that [lP [NP the dog ]"
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